Sunday, September 6, 2026

Peripartum Depression and Psychosis - Nosology, Phenomenology, and Research


 Peripartum Depression and Psychosis – A Major Change Is Ignored

 

In my previous post, I covered some of the legal, social, and cultural shortcomings affecting peripartum and postpartum depression and psychosis.  In this post I am going to cover a very basic concept that I have discussed before and that is consciousness. It is a major shortcoming of criteria-based diagnoses like the DSM.  It is conspicuous by its absence. The DSM makes it seem like all you need is a set of criteria, an adequate time frame, and the ability to rule out other causes and you can make any psychiatric diagnosis.  The only time human consciousness enters the picture is when the discussion is of altered states of consciousness like delirium or dementia.  Even then older neurological terms like stupor and coma seem to do a better job of capturing what is happening (1).

The additional limitation of criteria-based diagnoses is that they do not get to a more complete description of behavior. A delusion is not the total experience – the individual’s subjective experience is of secondary importance.  It is assumed that behavior is either predicated on the delusion or other aspects of the person’s life or personality. In psychiatric practice there is an entire other constellation of factors that are typically included in a formulation, but even then, the current subjective experience is not a focus. 

We all have a baseline conscious state that we are familiar with. Most discussions of consciousness begin with a disclaimer about no universally accepted definitions.  A good general definition addresses 2 components – level of consciousness (wakefulness/arousal) and contents of consciousness (specific objects and events that one is aware of).  The content can be encyclopedic but there are also ongoing neurobiological processes to consolidate, cue, and reinforce that content in varying ways. It is a dynamic rather than static process. It has to be in order to give you an integrated experience of life.  The most important product is the integrated first-person experience of oneself and the world.  But it is important to note that consciousness is more than just that since there are additional processes (access, intentionality, self-awareness).

Let me back up a bit and start out with the concept of phenomenal experience. This is the subjective or “what it is like” to have an experience.  A common example in the literature is the color red as in: “My experience of the color red is not your experience.”  That happens at a number of levels but most people consider there is a consensus about the color and leave it at that. Core features include qualia or the pure sensory experience without associated information processing, first-person experience, and distinct from other capacities like reasoning or controlling one’s behavior.

Phenomenal experience is one aspect of human consciousness.  Additional aspects include:

Cognitive access: content can be reported upon, accessed, and manipulated (reasoned about and used to guide action).

Self-awareness:  awareness as oneself with a capacity for generating thought and action.  Ability to distinguish oneself from the world including other people.

Intentionality: directed perception of objects and processes in the environment.

Reflective capacity:  knowing that the sensory experience is more than just sensation e.g. knowing that you see is more than just seeing it leads to an integrated experience at several levels.

Flexible cognitive control:  flexible modulation of attention, processing novel situations, decision-making, and integrating information. That includes daydreaming, fantasizing, mental work, and directing yourself to and away from those processes

There are numerous studies that map these functions onto neuroanatomical structures and neurophysiological events. There is also the interesting mapping of these functions onto ego functions that have been extensively elaborated on since Freud.  An example of a common ego-function that most people have heard of is reality testing.  It is defined just as it sounds: “The components are (a) the distinction between inner and outer stimuli; (b) accuracy of perception (including orientation to time and place and interpretation of external events), and (c) accuracy of inner reality testing (psychological mindedness and awareness of inner states).”  (From Bellak and Goldstein).  I have consolidated these mappings into the following table to illustrate what happens in psychosis.

Feature of Human Consciousness Corresponding Ego Function(s) How Altered in Psychosis (with Examples) References
Cognitive access / reportability
(content broadcast for report, reasoning, action — access consciousness)
Thought processes; judgment; regulation/control Elevated threshold for conscious access with intact subliminal processing, attributed to disrupted top-down attentional amplification; correlates with reduced long-distance white-matter connectivity in the global-workspace network.

Example: Schizophrenia patients require longer stimulus durations to consciously perceive a masked word, while unconscious priming is preserved.
[1][3]
Self-awareness and a unified self
(awareness of oneself as a persisting agent)
Synthetic/integrative function; relation to reality (self/world demarcation) Self-disorders with permeable ego-boundaries and disturbed agency; altered cortical-midline (mPFC, PCC/precuneus) and temporoparietal-junction activity during self-reflection and source monitoring.

Examples: Thought insertion, thought broadcasting, passivity/made experiences, misattributing self-generated actions to others.
[4][6]
Intentionality (aboutness)
+ distinguishing internal from external
Reality testing (relation to reality) Breakdown in differentiating internally generated from externally sourced experience across "reality distortion," "uncertainty of perception," and "hallucinations/delusions" domains; reduced parahippocampal/inferior-parietal activity during reality evaluation.

Examples: Hallucinating a voice with no external stimulus; fixed delusional beliefs; confident memory errors misattributed to real events.
[8][10]
Reflective / metacognitive capacities
(knowing that one experiences)
Judgment; synthetic function; observing-ego capacity Metacognitive deficit with impaired insight and overconfidence in errors; disrupted anticorrelated balance between frontoparietal control and default-mode networks scaling with symptom severity.

Examples: Poor illness insight (anosognosia for psychosis), high confidence in incorrect judgments, impaired self-monitoring.
[10][12]
Flexible cognitive control
(attention modulation, novel contexts, decision-making, cross-modal integration)
Regulation and control of drives; autonomous functions; synthetic function Imprecise hierarchical predictive coding — low precision of priors relative to sensory data — yielding aberrant salience and maladaptive belief updating via hippocampal-prefrontal-striatal dysfunction.

Examples: Aberrant salience attributed to irrelevant stimuli seeding delusions; disorganized thought; failure to integrate prior task outputs into a working schema.
[1], [13][15]


The table is an indication of what is not in the DSM but what has been described by psychiatrists who were focused on phenomenology in the mid-20th century. Kurt Schneider suggested that a group of what he called first rank symptoms were a more definite sign of schizophrenia and represented a “radical qualitative change in the thought-processes themselves” rather than a quantitative change.  Norgaard and Parnas expanded on this as “Kurt Schneider explicitly emphasized that the formative matrix out of which the “first rank symptoms” emerge, was a “radical qualitative change” in the field of consciousness, comprising a disturbed first personal perspective(“Ichheit”) and a disturbed sense of “mineness”of experience (“Meinhaftigkeit”).  Schneider argues that the psychosis in schizophrenia is not merely eccentric beliefs or quantitative changes in symptoms but that it is a qualitative change in state.”  In the case of schizophrenia insight and judgment are affected by changes in experience related to these changes in consciousness while baseline sensorium and personality are preserved. 

DSM criteria do not tell you that the person affected by psychosis is operating from an entirely different conscious state. These observations about how a conscious state affect consciousness have been made for centuries. The changes in processing, reality testing, and phenomenal experience also affect moral and ethical decision making.  Baseline moral frameworks are often maintained but the decisions are affected by the changes in experiential reality.  This has been studied in postpartum psychosis and filicide.  Several types of patterns of thought have been noted in studies of filicide and psychosis.  Before I reference those studies, I want to add the following diagram.  It illustrates differences in usage of the term phenomenology in clinical psychiatry.

 


 

The diagram (click to enlarge) shows that some research defines phenomenology as descriptive psychopathology – basically defined sign and symptoms, syndromes of disorders, or phenotypes. All of these phenomena can be described in terms of clinical course and associations.  They can be studied with validated structured interviews and produce consistent results at the syndrome and severity level.  Apart from the symptoms they have little to say about subjective experience. It is phenomenology at the population level.

The first-person account of psychosis is a much different type of phenomenology.  It is focused on how that person is experiencing the psychosis. Do they feel different?  Does their world seem changed? Do familiar people seem like strangers? Has their day-to-day experience changed?  To borrow a question from the old Present State Exam –“Are you thinking clearly or is there is something interfering with your thinking?”  Even though these are unique experiences some researchers have developed semi-structured interviews to capture experiences in certain conditions.  The Examination of Anomalous World Experience (EAWE) is one example designed to capture subjective experience of people experiencing schizophrenia spectrum disorders. It has 75 items across 6 domains of subjective experience. 

The clinical interview in psychiatry combines elements of both forms of phenomenology – basically because physicians are all taught how to interview people around a central subjective theme called a chief compliant.  After doing many of these interviews of people with the same or similar diagnoses – it becomes apparent that no two people with the same diagnosis experience it the same way.  In psychiatry and neurology it is more complex because the substrate that has the problem is the same one that produces the conscious state and the patient’s subjective experience of it.  By clinical or semi structured interview – the focus is on psychopathology at the individual level and the effect on consciousness.   

How does all that apply to postpartum psychosis? There are good studies of postpartum psychosis and research groups with ongoing projects.  The Massachusetts General Hospital Postpartum Psychosis Project (MGHP3) is one research group that has published on a large cohort of women (N=248) with postpartum psychosis (PP) (17).  Data was collected by administration of the Mini Internation Interview for Psychotic Disorder Studies (MINI-PDS).  61.7% of the sample met criteria for a psychiatric disorder prior to an at the index episode of PP.  12.5% had a prior episode of psychosis.  Substance use disorders were not excluded from the sample to improve generalizability and 22.6% had a diagnosis of alcohol use disorder (AUD) or substance use disorder (SUD).  Most patient were hospitalized (74.4%), received medications (93%), and psychotherapy (65.89%).  Median time to return to psychiatric baseline was 25 weeks. This is the first time I have seen psychiatric baseline used in the literature as an outcome criteria, even though clinical psychiatrists have used this as a treatment standard for decades.  

Psychotic symptoms were well documented and there was significant variability in the duration of symptoms.  For 60.9% of subjects the symptoms lasted between 1 day and 1 month, 24% lasted form 1 month to 6 months, and 10.47% lasting greater than 6 months.  Half of the subjects said that their symptoms wax and wane.  The authors point out that periods of lucidity as possible and this may lead to a false impression that the patient is doing better than they really are. Since most of the subjects received atypical antipsychotics, the authors discuss the importance of determining subgroups that may need maintenance medication and others where the medication can be discontinued.    

The issue of whether PP develops into bipolar disorder was discussed.  Not all women go on to develop subsequent episodes, suggesting there may be a from that only occurs in the postpartum period.  The issue of prevention of these episodes in woman with a preexisting diagnosis of bipolar disorder was discussed and how that can be prevented with appropriate prophylactic treatment.   I would look to this group in the future for more state-of-the-art research on PP.  They appear to also have a genomics component.    

The question of child related delusions and their specificity for PP was discussed.  The authors conclude that paranoia directed at partners and infants safety and wellbeing were common and consistent with the idea that this may be a period of enhanced vulnerability.  I would see this paper as a critical resource for psychiatrists interested in this disorder both at a clinical and theoretical level.

A second paper is interesting in that it looks at women hospitalized on a Mother-Baby Inpatient unit in the Netherlands.  This group goes by the title Onderzoeksprogramma Postpartum Psychose Erasmus MC Rotterdam (OPPER) and they have previously published (18).  The sample size was 130 women.  I wrote a post on this setting a decade ago as an ideal resource for postpartum conditions.  Since then I am not aware of any similar treatment setting in the US.  One of the interesting aspects of this sample is that 48% of the subjects were admitted on an involuntary basis.  The standards described parallel most US standards for involuntary treatment of risk to self or others or inability to care for oneself.  17% of the sample had either obsessive concerns about harming the child or more or infanticidal thoughts.

This group used standardized questionnaires and rating scales to characterize psychopathology including the Structured Clinical Interview for DSM-IV Disorders (SCID), Young Mania Rating Scale (YMRS), Edinburgh Postpartum Depression Scale (EPDS), and Hamilton Rating Scale for Depression (HAM-D). That resulted in a total of 58 symptoms that were used to determine symptoms prevalence and generate profiles by statistical modeling (latent class analysis).  Anxiety, depression and delusions were the most common symptoms across all profiles.  A total of 11 symptoms were used to develop profiles anxiety, depression , melancholia, agitation, mania, atypical , disorganization, delusions, hallucinations, child-related, and catatonia.  From these symptoms a manic profile (34%), a depressive profile (41%), and an atypical profile (25%) were developed.  Dysphoric mania was more likely and the authors point out it is more prevalent in woman at baseline.  Patients in the manic and atypical categories were more likely to be treated on an involuntary basis. Like the MGH study remission rates were high (82-94%) with fastest remission in the manic group and slowest in the depressive group. The authors identified 2 cases of NMDA encephalitis in the group with disorientation, disturbance of consciousness, and disorganization suggesting it is important in the differential diagnosis of this disorder.

The authors of this paper make the compelling argument that PP is one of the few psychiatric disorders where the etiology (childbirth) is known. They point out that it is a severe disorder that frequently requires involuntary treatment, needs careful medical assessment, and although it seems like it is on the bipolar spectrum – it should not be included there too quickly.  Like the MGH group they point out that even with the profiles they developed they are not able to predict disease course and this would be a major advance in treatment.  

There are other papers that apply to the current case and similar cases in the last.  Resnick described cases of altruistic psychotic filicide associated with altruistic delusions.  The decisions are associated with thoughts that the child will be protected from harm from evil, criminal activity, or in some cases a specific family member that the mother has delusional concerns about.  In some cases, the child is seen as already affected by evil that is irreversible.  Death is the only way to protect the child but it makes sense only in the context of an alteration in consciousness.

To summarize, a category-based diagnosis is not a comprehensive explanation of behavior. That is the main reason psychiatrists are taught additional approaches to formulation of the current problem.  There is a general tendency of non-experts to lump all people with a similar diagnosis into the same category.  That is an error that most second year medical students recognize when they see the vast variations in diagnostic presentations, outcomes, and treatments.  In psychiatry, that variation is amplified greatly by all of the factors contributing to unique conscious states.

In forensic settings psychiatrists are called upon to present a diagnosis, a formulation, and comment on how both inform any statutory requirements for a defense or prosecution.  As a psychiatrist who has testified in hundreds of these hearings – the adversarial process is far from ideal.  A few examples include, a judge telling me what I can and cannot talk about, attorneys asking me questions they said they were not going to ask, rhetorical techniques by attorneys that they thought would shake me up, and questions that were clearly framed to distort the reality of the situation. All of those factors suggested to me that the only way real clinical psychiatry is expressed in court is if you have an expert witness who is familiar with all of that rhetoric and can ignore it.

The other critical piece is what can be done to educate the public as well as the jury.  Formal psychiatric training develops large categories that we need to cover in order to do a good job.  Thise categories exist diagnostically but also in the mental status exam (MSE) or direct examination of the patient.  For most forensic purpose the relevant categories are insight and judgment.  Both are critical in any postpartum case of filicide. That generally involves conclusory remarks based on connections with other MSE categories.  There is typically no description of a conscious state, but there might be discussion of other mitigating factors.  It is probably time to consider detailed discussion of how to include that component – not only in court but in the DSM in general.  Some of the other proposed inclusions are probably less important.

 

George Dawson, MD, DFAPA

 

References:

1:  Posner JB, Saper CB, Schiff ND, Plum F.  Plum and Posner’s Diagnosis of Stupor and Coma.  Oxford University Press, New York, 2007; 401 pp. 

2:  Zeman A, Coebergh JA. The nature of consciousness. Handb Clin Neurol. 2013;118:373-407. doi: 10.1016/B978-0-444-53501-6.00031-7. PMID: 24182393.

3:  Seth AK, Bayne T. Theories of consciousness. Nat Rev Neurosci. 2022 Jul;23(7):439-452. doi: 10.1038/s41583-022-00587-4. Epub 2022 May 3. PMID: 35505255.

 4: Feyaerts J, Henriksen MG, Vanheule S, Myin-Germeys I, Sass LA. Delusions beyond beliefs: a critical overview of diagnostic, aetiological, and therapeutic schizophrenia research from a clinical-phenomenological perspective. Lancet Psychiatry. 2021 Mar;8(3):237-249. doi: 10.1016/S2215-0366(20)30460-0. Epub 2021 Jan 21. PMID: 33485408.  (see figure 1)

5:  Martino M, Magioncalda P. A working model of neural activity and phenomenal experience in psychosis. Mol Psychiatry. 2024 Dec;29(12):3814-3825. doi: 10.1038/s41380-024-02607-4. Epub 2024 Jun 6. PMID: 38844531.

6:  Naccache L. Why and how access consciousness can account for phenomenal consciousness. Philos Trans R Soc Lond B Biol Sci. 2018 Sep 19;373(1755):20170357. doi: 10.1098/rstb.2017.0357. PMID: 30061470; PMCID: PMC6074081.

7:  Overgaard M. Phenomenal consciousness and cognitive access. Philos Trans R Soc Lond B Biol Sci. 2018 Sep 19;373(1755):20170353. doi: 10.1098/rstb.2017.0353. PMID: 30061466; PMCID: PMC6074085.

8:  Halligan PW, Oakley DA. Giving Up on Consciousness as the Ghost in the Machine. Front Psychol. 2021 Apr 30;12:571460. doi: 10.3389/fpsyg.2021.571460. PMID: 33995166; PMCID: PMC8121175.

9:  Cooke JE. What Is Consciousness? Integrated Information vs. Inference. Entropy (Basel). 2021 Aug 11;23(8):1032. doi: 10.3390/e23081032. PMID: 34441172; PMCID: PMC8391140.

10:  Mudrik L, Faivre N, Pitts M, Schurger A. On a confusion about there being two types of consciousness. Trends Cogn Sci. 2026 Aug;30(8):687-699. doi: 10.1016/j.tics.2025.11.012. Epub 2025 Dec 17. PMID: 41412917.

11:  Mogi K. Artificial intelligence, human cognition, and conscious supremacy. Front Psychol. 2024 May 13;15:1364714. doi: 10.3389/fpsyg.2024.1364714. PMID: 38807956; PMCID: PMC11130558.

12:  Carhart-Harris RL, Friston KJ. The default-mode, ego-functions and free-energy: a neurobiological account of Freudian ideas. Brain. 2010 Apr;133(Pt 4):1265-83. doi: 10.1093/brain/awq010. Epub 2010 Feb 28. PMID: 20194141; PMCID: PMC2850580. (Neuropsychoanalysis)

13:  Bellak L.  Basic aspects of ego function assessment. In: The Broad Scope of Ego Function Assessment.  Bellak L, Goldstein LA (eds).  John Wiley and Sons, New York, 1984: 6-30.

14:  Schneider, K. (1959), Clinical Psychopathology, pp. 100, 132–134

15:  Nordgaard J, Parnas J. Self-disorders and the schizophrenia spectrum: a study of 100 first hospital admissions. Schizophr Bull. 2014 Nov;40(6):1300-7. doi: 10.1093/schbul/sbt239. Epub 2014 Jan 29. PMID: 24476579; PMCID: PMC4193705.

16:  Parnas J, Henriksen MG. Disordered self in the schizophrenia spectrum: a clinical and research perspective. Harv Rev Psychiatry. 2014 Sep-Oct;22(5):251-65. doi: 10.1097/HRP.0000000000000040. PMID: 25126763; PMCID: PMC4219858.

17:  Cohen LS, Arakelian M, Church TR, Dunk MM, Gaw ML, Yoon HE, Kobylski LA, Vanderkruik R, Freeman MP. The phenomenology of postpartum psychosis: preliminary findings from the Massachusetts General Hospital Postpartum Psychosis Project. Mol Psychiatry. 2025 Jun;30(6):2537-2544. doi: 10.1038/s41380-024-02856-3. Epub 2024 Dec 6. PMID: 39643690.

18:  Kamperman AM, Veldman-Hoek MJ, Wesseloo R, Robertson Blackmore E, Bergink V. Phenotypical characteristics of postpartum psychosis: A clinical cohort study. Bipolar Disord. 2017 Sep;19(6):450-457. doi: 10.1111/bdi.12523. Epub 2017 Jul 12. PMID: 28699248.

19:  Robertson E, Lyons A. Living with puerperal psychosis: a qualitative analysis. Psychol Psychother. 2003 Dec;76(Pt 4):411-31. doi: 10.1348/147608303770584755. PMID: 14670189.

20:  Holt L, Sellwood W, Slade P. Birth experiences, trauma responses and self-concept in postpartum psychotic-like experiences. Schizophr Res. 2018 Jul;197:531-538. doi: 10.1016/j.schres.2017.12.015. Epub 2018 May 7. PMID: 29402582.

21:  Resnick PJ. Child murder by parents: a psychiatric review of filicide. Am J Psychiatry. 1969 Sep;126(3):325-34. doi: 10.1176/ajp.126.3.325. PMID: 5801251.


Table References

  1. Patniyot NS. Deficits in access consciousness, integrative function, and consequent autonoetic thinking in schizophrenia. Med Hypotheses. 2021 Oct;155:110664.
  2. Berkovitch L, Charles L, Del Cul A, et al. Disruption of Conscious Access in Psychosis Is Associated with Altered Structural Brain Connectivity. J Neurosci. 2021 Jan 20;41(3):513-523.
  3. Berkovitch L, Dehaene S, Gaillard R. Disruption of Conscious Access in Schizophrenia. Trends Cogn Sci. 2017 Nov;21(11):878-892.
  4. Potvin S, Gamache L, Lungu O. A Functional Neuroimaging Meta-Analysis of Self-Related Processing in Schizophrenia. Front Neurol. 2019 Sep 11;10:990.
  5. Jimenez AM, Green MF. Disturbance at the self-other boundary in schizophrenia: Linking phenomenology to clinical neuroscience. Schizophr Res. 2024 Oct;272:51-60.
  6. Henriksen MG, Raballo A, Nordgaard J. Self-disorders and psychopathology: a systematic review. Lancet Psychiatry. 2021 Nov;8(11):1001-1012.
  7. 7. Feyaerts J, Sass L. Self-Disorder in Schizophrenia: A Revised View (1. Comprehensive Review-Dualities of Self- and World-Experience). Schizophr Bull. 2024 Mar 7;50(2):460-471. doi: 10.1093/schbul/sbad169. PMID: 38069912; PMCID: PMC10919772.
  8. Helyel ES, El-Sayed MM. Beyond the symptoms: Exploring attachment styles and reality-testing among schizophrenia clients from a nursing perspective. J Psychiatr Ment Health Nurs. 2025 Feb;32(1):1-12. doi: 10.1111/jpm.13081. Epub 2024 Jul 3. PMID: 38958525.
  9.  Lee JS, Chun JW, Lee SH, Kim E, Lee SK, Kim JJ. Altered neural basis of the reality processing and its relation to cognitive insight in schizophrenia. PLoS One. 2015 Mar 20;10(3):e0120478. doi: 10.1371/journal.pone.0120478. PMID: 25793291; PMCID: PMC4368728.  

  10. Seabury RD, Bearden CE, Ventura J, Subotnik KL, Nuechterlein KH, Cannon TD. Confident memory errors and disrupted reality testing in early psychosis. Schizophr Res. 2021 Dec;238:170-177. doi: 10.1016/j.schres.2021.10.007. Epub 2021 Oct 25. PMID: 34710715.

  11. Jia W, Zhu H, Ni Y, Su J, Xu R, Jia H, Wan X. Disruptions of frontoparietal control network and default mode network linking the metacognitive deficits with clinical symptoms in schizophrenia. Hum Brain Mapp. 2020 Apr 15;41(6):1445-1458. doi: 10.1002/hbm.24887. Epub 2019 Dec 2. PMID: 31789478; PMCID: PMC7267896.   

  12. David AS, Bedford N, Wiffen B, Gilleen J. Failures of metacognition and lack of insight in neuropsychiatric disorders. Philos Trans R Soc Lond B Biol Sci. 2012 May 19;367(1594):1379-90. doi: 10.1098/rstb.2012.0002. PMID: 22492754; PMCID: PMC3318769.  

  13. Heinz A, Murray GK, Schlagenhauf F, Sterzer P, Grace AA, Waltz JA. Towards a Unifying Cognitive, Neurophysiological, and Computational Neuroscience Account of Schizophrenia. Schizophr Bull. 2019 Sep 11;45(5):1092-1100. doi: 10.1093/schbul/sby154. PMID: 30388260; PMCID: PMC6737474.  

  14.  Sterzer P, Adams RA, Fletcher P, Frith C, Lawrie SM, Muckli L, Petrovic P, Uhlhaas P, Voss M, Corlett PR. The Predictive Coding Account of Psychosis. Biol Psychiatry. 2018 Nov 1;84(9):634-643. doi: 10.1016/j.biopsych.2018.05.015. Epub 2018 May 25. PMID: 30007575; PMCID: PMC6169400.   15.  

  15. Liddle PF, Sami MB. The Mechanisms of Persisting Disability in Schizophrenia: Imprecise Predictive Coding via Corticostriatothalamic-Cortical Loop Dysfunction. Biol Psychiatry. 2025 Jan 15;97(2):109-116. doi: 10.1016/j.biopsych.2024.08.007. Epub 2024 Aug 22. PMID: 3918138 


Tuesday, September 1, 2026

The Deprescribing Hype...

 


One of the best psychiatrists I know ran a large antipsychotic long-acting injectable (LAI) clinic and the largest clozapine clinic in the state. There was not a side effect he had not seen or addressed related to medications. He also happened to be one of the most well-liked clinicians I have ever known.  Years after he left our clinic his former patients would approach me in the hallways and ask me if I knew how he was doing.

Since I was in acute care, I would occasionally see one of his patients on my inpatient service and call him about that. One day we had a conversation about polypharmacy and all of the guidelines at the time.  Quality assurance guidelines said that monotherapy in any general class of antipsychotics, anxiolytics or mood stabilizers was preferred at the lowest effective dose. We both recalled many patients where that was not true and even slight changes in their medications resulted in significant destabilization.  In some cases the destabilization was so severe it resulted in long term care in a state hospital. 

Both of us had the privilege of practicing in a time when the only atypical antipsychotics were clozapine and later risperidone and olanzapine. But we also saw a lot of people who had been stabilized on first generation antipsychotics that were used for treatment for bipolar disorder, psychotic depression, and schizophrenia.  In those days it was very appealing to consider starting lithium and stopping the antipsychotic, stopping the antipsychotic due to a movement disorder (tardive syndrome or akathisia), stopping the antipsychotic trying to get to antidepressant monotherapy, stopping the antipsychotic to get to antipsychotic monotherapy, stopping the antipsychotic due to more typical side effects, or stopping the antipsychotic just on the general thought that they were bad medicines that should be taken only in desperate situations.

We reviewed a number of clinical scenarios involving polypharmacy.  He told me that some of his patients were taking an embarrassing list of medication.  He used the term because the medication list flew in the face of conventional wisdom at the time about how medications should be prescribed.  He had tried to alter the medications to approach those idealized guidelines but the patients did not do well and he invariably had to go back to the original combination.  Most of these patients had come out of state hospitals where they were observed for months or in some cases years on this medication.  He followed everyone closely, knew their family and social situations, and whether he would admit it or not did supportive psychotherapy. He saw people on a weekly basis during these medication changes.

I shared my same experience with him.  I had been trained by the authors of The Lithium Encyclopedia.  They also ran the Lithium Information Center at the time. My training was that people with bipolar disorder should be treated with lithium. I was seeing people with clear cut bipolar disorder who were stabilized on chlorpromazine – the oldest antipsychotic medication. I knew how to start lithium and gradually taper chlorpromazine so why not do it?  The person I am thinking of had dry mouth as the most significant side effect of chlorpromazine.  When the lithium level was therapeutic for a few weeks, I started the slowly taper of what was considered a low dose of chlorpromazine.  When the uneventful taper was over it took just 2 weeks for the patient to experience a manic episode that required hospitalization and restabilization on chlorpromazine.  

And so, the stories went.  Apparently successful transitions with weeks to months off of a particular medication, nothing that would be considered a discontinuation or withdrawal effect, and then relapse to the primary disorder.  My personal experience was meager compared with what I witnessed as an inpatient doc.  I saw the worst possible outcomes of these medication discontinuations including suicide attempts, homicides, high speed chases and other confrontations with the police including shoot outs, inadequate self care including stopping life saving medications like insulin, and destabilization of living situations and homelessness. I even had to put up with blowback from people I had stabilized. I was criticized by one of my bosses for an aggressive patient on the inpatient unit who was there because an outpatient provider decided to change the medication I had just stabilized the patient on because of concerns about weight gain.  

To be clear, there are many reasons to stop medications or change them.  I am an expert at that.  There is also no assurance that a specific dose of medication will continue to work well forever.  Environmental changes like sleep deprivation can trigger relapse in people who are on effective maintenance medications.  All of the usual lifestyle factors need to be addressed. But it is a clear mistake to think that lifestyle factors or psychological interventions alone are enough to keep people stable in those who need them.  Risk stratification is also important.  I have a review that I co-wrote with Ron Pies, MD coming out next month.  One of the  studies we reviewed looked at all of the antidepressant prescriptions in the country.  Only 3% of that population was ever hospitalized.  It is a good idea to include that risk in any risk/benefit decision on either side of the prescribing equation.    

Political approaches to complex medical problems never work.  The idea that a government official with no knowledge of the field can start a massive deprescribing program or proclaim that he knows the cause of autism is hopefully the absurd conclusion that medications rather than mental illness is the main problem.  At a more subtle level, deprescribing is has infiltrated the popular culture as a magical solution.  It is widely promoted but has no more legitimacy than the old term that I have used for decades – discontinuation.  Deprescribing carries with it the implicit notion that medications, especially psychiatric medications are overprescribed and either harmful at best or lethal at worst. None of that is consistent with the literature or the experience of clinical psychiatrists.

As I have written many times before - nobody that I ever met inherently wants to take a medication every day.  That includes myself. That decision requires a careful risk/benefit decision. Rational thinking would lead to a decision to keep taking a medication with a favorable risk/benefit/analysis.  That decision is complicated by personal values, personal preferences, cognitive ability, and medication tolerance and efficacy.  It is further complicated by placebo effects, nocebo effects, and habituation to side effects.  As an experienced clinical psychiatrist, I can say unequivocally that it is rare to find a person who needs a medication and cannot tolerate all of the medications in that class.  Notice I said rare, because I am sure those people exist.    

Whether you are a psychiatrist or a patient considering the current deprescribing hype either in social media or the professional literature keep this in mind.  These statements are made with a degree of certainty that does not exist.  Carefully consider the circumstances and err on the side of caution. I don’t anticipate that people advocating deprescribing at a global level will be measuring any outcomes. I hope that some of the experts in observational studies will be able to design outcome studies. The harms of medication discontinuation and deprescribing need to be documented before anyone can truly give informed consent.

 

George Dawson, MD, DFAPA


Supplementary 1:  Galbraith’s concept of conventional wisdom includes the following:

Acceptability over Truth: People associate truth with what is convenient or reassuring. Ideas become "conventional wisdom" because they fit comfortably with existing preferences, self-interest, and social norms.  Creates obvious inertia against any identified out-groups and easily reinforced by rhetoric rather than reality.

Resistance to Change: Because people invest prestige and stability in these accepted ideas, conventional wisdom resists updates even as real-world circumstances shift underneath it.  Antipsychiatry rhetoric is making ideas like the need for deprescribing conventional wisdom and accepted without any critical challenge even though it does not match reality.   

Breakdown via Events, Not Arguments: Galbraith argued that conventional wisdom is rarely overturned by debate or logical argument. Instead, it only breaks down when hit by the unyielding force of events—when real-world circumstances change so drastically that the old ideas can no longer explain reality.  All of the rhetoric against psychiatry has not been able to destroy psychiatry precisely because all of the rhetoric of overprescribing, conflict of interest, social control, etc does not match the reality of the providers of last resort who are actually interested in severe mental problems.  

The conventional wisdom mentioned in the above post were quality assurance guidelines about medication usage that were not empirically derived. 

Note that the third feature of conventional wisdom (if accurate) is why the Trump?MAGA ideology may be unravelling as the events and obvious failures accumulate.


Ref:

Galbraith JK.  The concept of the conventional wisdom.  In:  Galbraith JK.  The Essential Galbraith. Houghton Mifflin, Boston, 2001:  18-30.

 

Monday, August 31, 2026

Happy Labor Day 2026




I have been posting Labor Day greetings on this blog dating back to 2012. Throughout those years, there hasn’t been much to celebrate, but this year feels distinctly different. The news is mixed: we may be standing on the brink of another public health catastrophe, yet the dividing line between practicing physicians and the executives who manage the business of medicine has never been clearer.

When I first began writing about this, I focused on the gradual deterioration of our clinical environment—a shift that began when governments everywhere handed the reins of medicine over to corporate interests. That decline has progressed at a steady, predictable pace. But a new variable entered the equation recently: the narrative that physicians will soon be displaced by AI. I am not particularly concerned about AI actually replacing doctors; what concerns me is how this narrative will be marketed and deployed by politicians and healthcare executives.

In any poorly managed enterprise, the primary goal of leadership is to establish control over knowledge workers. Managers view this control as essential because, deep down, they realize the system cannot function without us. Business schools train managers to see themselves as the ultimate arbiters of operational reality, fostering a self-congratulatory culture around the term entrepreneur. The word is often treated as a synonym for genius, even though success in that sphere usually owes far more to luck, leverage, and capital than to intellect or creativity.

Rather than rehashing the most glaring industry flaws this year, I want to focus on the subtle rhetoric being used to delegitimize the medical profession. Much of it operates as "meta-rhetoric"—arguments that obscure underlying facts, repeated endlessly across social media and mainstream outlets to create the illusion of substance where none exists.

Consider a primary example: vaccination. Vaccines represent one of the most effective public health interventions in human history, having saved millions of lives while significantly expanding both lifespan and healthspan. Yet, the current administration—along with its allies—actively propagates vaccine misinformation. Their tactics range from outright falsehoods to framing immunization as merely a "personal choice," all while attempting to manipulate research and standard vaccination schedules.

This is a direct assault on evidence-based medicine. Beyond preventable mortality, diseases like measles demand significant hospital resources. Our healthcare infrastructure is already fragile, and proposed trillion-dollar cuts to Medicaid threaten to defund rural and safety-net facilities. If another winter respiratory season brings a surge in hospitalizations, a diminished bed capacity could trigger shortages rivaling the worst phases of COVID-19. Meanwhile, revisionist narratives continue to downplay the severity of the COVID pandemic, driven by those who never worked the frontline.

The core reality regarding immunizations and COVID is straightforward: these matters are settled by evidence. Endless debates over vaccine efficacy, pandemic handling, or viral origins ignore established facts. Active political interference in clinical care wastes critical time and degrades the practice environment, forcing physicians to alter proven protocols to accommodate political narratives.

Even more critical is the question of capacity. Psychiatrists are already accustomed to seeing patients board in emergency departments for days due to a lack of inpatient psychiatric beds. What happens when that same bottleneck hits pediatric or adult medical wards during a combined surge of measles, COVID, and seasonal flu? I experienced this thin margin firsthand with my wife's care—the line between adequate access and system failure is razor-thin. Government and corporate interests have spent four decades rationing access, and the system is reaching a breaking point.

To illustrate how these arguments are recycled, the table below outlines how past COVID rhetoric is currently being repurposed during active measles outbreaks.  Note that all of these narratives lead to decreased vaccination rates:

COVID-19 Narrative StrategyRepurposed Measles NarrativeImpact on Medical Practice
Downplaying Severity ("It's just a mild flu")Framing measles as a routine, harmless childhood rite of passageIgnores high hospitalization rates, pneumonia and encephalitis risks, and immune amnesia
False Equivalency & 'Choice' ("Personal freedom over mandates")Frame routine pediatric vaccination schedules as unnecessary state intrusionUndermines herd immunity, exposing vulnerable and immunocompromised populations
Institutional Distrust ("Public health agencies are corrupt/political")Discrediting established CDC/ACIP guidance in favor of unverified/disproven alternative theories while disrupting institutional knowledge by crony politics.Forces clinicians to spend limited appointment time debunking viral misinformation and unnecessary appointments
Rationing Normalization ("Hospitals always operate near capacity")Treating pediatric bed shortages as an acceptable baseline operational realityNormalizes emergency room boarding and delayed acute interventions

The proliferation of these narratives is not accidental; it reflects a coordinated effort to reshape public perception. Yet, this crisis of governance also presents an unprecedented opportunity for medical advocacy.

We are already seeing evidence of collective resistance. In response to federal vaccine misinformation, 28 states have announced they will no longer rely solely on CDC guidance for immunization schedules. Furthermore, 15 states have issued statewide clinical guidance directly referencing recommendations from professional medical societies (such as the AAP, ACOG, and AAFP) rather than ACIP, following the dismissal of ACIP panel members.

This shift demonstrates what organized physician advocacy can achieve, but maintaining this momentum will require greater institutional courage. Having served as an officer in a professional society, I understand the inclination toward "big tent" neutrality to maintain broad membership and protect non-profit status. However, non-profit status does not preclude professional societies from issuing firm, factual critiques when public health policy diverges from medical evidence.

In psychiatry, key issues like autism research, evidence-based antidepressant prescribing, and equitable depression care require clear advocacy. Beyond psychiatry, systemic challenges—such as gun violence, maternal mortality, and substance use disorders—remain unaddressed. Nationally, Medicaid reductions threaten safety-net hospitals, while internationally, cuts to PEPFAR and USAID jeopardize global care for HIV, tuberculosis, and malaria.

If any moment can unite physicians against administrative and corporate overreach, it is this one. It offers a clear opportunity to establish a firm boundary between rational, evidence-based medicine and arbitrary rationing.

George Dawson, MD, DFAPA


Supplementary 1:

To clarify my AI concerns - it will be quite easy for managed care corporations and pharmaceutical benefit managers to replace the current reviewers who generally deny care or specific medications with an AI agent.  That should concern you greatly if you are a physician or part of any medical team that needs to address denials of care. The scope and intensity of denials will easily escalate and be more difficult to negotiate.  As far as I can tell - nobody is talking about this.  I see it as an obvious problem in the not too distant future.  The AI buildup by all of the tech CEOs constantly talking about it is done to legitimize business applications like this one. It is also done to suggest that an AI agent is an omniscient, value neutral entity when it has already been established that it has no moral or ethical underpinnings and can easily decide in favor of any business over an individual needing care.  It will not take the usual conversation with the doctor.  It will not even take the usual managed care tricks of excessively long waiting times.  The denials will be at a blinding pace and they will all be backed by politicians backing that business. 


Supplementary 2:  Guide to the acronyms:

AAP = American Academy of Pediatrics

AAFP = American Academy of Family Practice

ACOG = American College of Obstetricians and Gynecologists

ACIP = Advisory Committee on Immunization Practices

USAID = US Agency for International Development

PEPFAR = U.S. President's Emergency Plan for AIDS Relief


References:

1:  Kukoyi OM, Wang VS, Yao K, et al. US State Actions Related to COVID-19 Vaccination Infrastructure and Access Amid Federal Shifts. JAMA. 2026;335(19):1719–1721. doi:10.1001/jama.2026.5148

2:  Rubin R. Hundreds of Medical Groups Challenge Childhood Immunization Schedule Changes—Here’s What to Know. JAMA. 2026;335(6):475–477. doi:10.1001/jama.2026.0095

3:  Gostin LO, Lurie P. Assault on the Centers for Disease Control and Prevention—Budget Cuts, Political Control, and the Erosion of Trust. JAMA Health Forum. 2025;6(10):e255467. doi:10.1001/jamahealthforum.2025.5467


Graphics Credit:

I took that photo driving home from work a few years ago. 

Monday, August 24, 2026

Peripartum Depression and Psychosis - The Ignored Basics

 


This is just a sampling of headlines about a current case of postpartum depression and psychosis and an ongoing trial for homicide.  A woman killed her three children and her defense is decreased criminal responsibility due to a mental disorder.  I do not know any of the actual details of the case, but I do know this clinical situation very well for a number of reasons.

I was an acute care psychiatrist of 22 years and in that capacity treated many cases of this disorder, including cases associated with homicide where I was called to testify in both criminal court and civil court.  In doing evaluations of women with recurrent psychotic disorders, it was apparent to me that many had the onset of that disorder during or immediately after a pregnancy and it was never adequately treated. Practically all of those women had bipolar disorder, but given the inadequate treatment and chronicity – the diagnosis was typically modified to schizoaffective disorder.

During my career, I quickly learned that a detailed history of all of the pregnancies in a woman’s life was extremely important.  In many cases it was associated with a new onset of a psychiatric disorder.  Those disorders were often not treated even when it was clear they resulted in permanent changes. My clinical experience is reflected in the literature where 50-75% of women with depression and anxiety are undiagnosed (1).  In those populations there is a significant prevalence of suicidal ideation and variability in available screening.  Only a fraction of woman diagnosed with postpartum depression get adequate care at about the same rate of adequate care for depression in the general population (10% vs 17%) (2).     

In the 1980s and 1990s psychiatric care for women during pregnancy was often lacking due to concerns about medication toxicity to the fetus. During that era, psychiatrists specializing in women’s health became more visible and started to address major issues like the timing and type of treatment recommended for perinatal and postpartum psychiatric disorders.  That included decisions about not stopping medications during pregnancy, breastfeeding, and reviewing the results of these strategies. 

As it became known that I was interested in the problem, I started to get self referrals. They were usually women who were told they could not take their psychiatric medication during pregnancy or in the immediate post-partum state.  These women were concerned about their mental state without maintenance medication especially the ability to function as well as suicidal ideation.  Several psychiatric colleagues practiced in a woman’s health clinic at that time and were treating the same population.

Without going too far into detail, all of these conditions that women experience in the postpartum state are very serious conditions.  They tend to be minimized by saying it is something that most women go through and must endure.  A universal experience almost always invites group comparisons that rarely apply at the individual level.  There should be no conclusions that one experience is the experience that everyone has. 

The women I treated had very serious disorders at all stages of pregnancy whether they were outpatients or hospitalized on an inpatient unit.  In some cases, I had to reconstruct what happened during a pregnancy they experienced 10 or 20 years earlier and how that applied to their current experience.  Some were disabled, not able to work, and had disruptions with significant relationships in their lives. 

I have posted about this in the past and a remarkable approach to treating perinatal disorders in the Netherlands.  At the time I wrote this post nearly a decade ago, there were specialty units called maternal-baby units (MBUs).  In the study woman with psychosis or mania within 6 weeks of childbirth were admitted and stabilized. Most were treated with lithium or antipsychotic monotherapy and followed for 9 months.  The discharge goal was remission of symptoms for one week prior to discharge and the average length of stay was 55 days.  Functional outcomes were very good.  In the original post, I made the observation that none of this care would have been possible in the US.  At the time there were no MBUs.  All inpatient psychiatric units where I have worked were suboptimal settings basically due to business management tactics. 

An ideal inpatient setting for mothers who are either pregnant with a perinatal disorder or a postpartum state would be a supportive environment that is environmentally pleasing, calm, clean, and has access to obstetric services.  I will be the first to say that as an acute care psychiatrist – I have never seen such a place.  I have talked with many patients who refused inpatient care based on what the environment was like.

The environment is probably the most critical factor in treating a person with a severe psychiatric disorder.  They should feel safe and cared for.  They should encounter staff dedicated to optimizing the inpatient experience.  The concept of asylum comes to mind as an environment that is a stress free and safe.  Lamb (3) defines it as “sanctuary, a place that lowers levels of stress and provides protection, safety, security, and social support, as well as an array of treatment services.”  I would add that there needs to be frequent contact with the treating professionals – especially in the cases where there is unpredictability, symptoms of psychosis, and impaired judgment. That frequent contact should involve ongoing assessment as well as psychotherapy. 

The reason for optimizing the environment is to encourage the necessary level of communication for diagnosis and treatment.  It should be obvious but anyone who feels trapped on an inpatient unit – is not going to communicate freely.  They will say what they think they need to get discharged.  That may include covering up significant symptoms.  I have had people tell me this - weeks after discharge. At some point the patient must be engaged in a process that not only addresses their acute symptoms but also longer-term risks.  In the case of severe peripartum disorders that includes both suicidal and aggressive ideation. The therapeutic process is interwoven with the assessment of safety in the home environment.

I am very confident that psychiatrists can diagnose and treat these problems.  I am also very confident that there are serious legal, cultural, and political obstacles to care.  There is the problem of a low standard of care on inpatient units that is the product of business and political rationing of care.  There is a prominent problem with cultural processing of peripartum psychosis with filicide.  There is currently only one state (Illinois) – that explicitly recognizes the effect of the postpartum mental illness on culpability (4).  It does not replace the not guilty be reason of insanity (NGRI) defense but allows for mitigation during sentencing to reduce lengthy incarcerations.

The need to use a general NGRI defense for infanticide or filicide associated with peripartum states is highly problematic.  Only about 1-6% of general felony cases use the NGRI defense and in those cases, it is successful about 12-17% of the time.  The defense became more restrictive after the Hinckley verdict in 1982 when 36 states modified their statutes and that included 4 states eliminating the defense.  Successful defense generally depends on the diagnosis of a psychotic disorder or a mood disorder with psychotic features. States of intoxication and personality disorders are generally not successful with this defense, but there is likely some overlap between both sets of conditions.     

An NGRI diminished capacity defense rests on the reality that the behavior is driven by symptoms of psychosis and not malice. Enduring these experiences results in intense grief, guilt, and regret (5).  Future harm to the mother is significant with up to 30% dying by suicide and high risk of both future severe mental illness and poor maternal infant attachment.  Partners experience the loss of relationship and planned future of the relationship in addition to a lack of knowledge about the condition (6). 

One of the useful conceptualizations of these disorders and their impact comes from family systems theory.  A perinatal mental disorder compromises the entire family’s ability to function (7).  Reviews invariably consider the problem of peripartum mental illness associated with infanticide/filicide as one of missed opportunities for screening, intervention, and access to care. 

What is not useful is a binary framing of the perpetrator and victim.  At the level of media and culture there is the killer mother trope that splits people who want to help from people who want to blame. That adversarial framing impacts the entire family going forward and obscures potential points of intervention and prevention.  Like most polarizing situations – the amplification is evident today with monetization and political gain from the divisiveness a primary consideration.  I consider the elimination of Medicaid - the single largest source of maternal care in the US to be both an end result of this split as well as a potential cause of more of these cases.

In the final analysis it is easy to blame one person for the catastrophic outcomes associated with perinatal mental illness and infanticide/filicide. You can pretend that modern society is not a cooperative effort with division of labor and resources. You can pretend that you don't have to care about anyone else other than you and your immediate family.  You can pretend that people who really need help are freeloaders, criminals, malingerers, or just too weak to survive on their own. But that is an poor analysis of the problem.  Families, parents, and children need to be supported in ways that foster growth and security way before there are catastrophic outcomes.

  

George Dawson, MD, DFAPA

 

1: Solomonov N, Kerchner D, Dai Y, et al. Prevalence and Trajectories of Perinatal Anxiety and Depression in a Large Urban Medical Center. JAMA Netw Open. 2025;8(9):e2533111. doi:10.1001/jamanetworkopen.2025.33111

2:  Vigo D, Haro JM, Hwang I, et al. Toward measuring effective treatment coverage: critical bottlenecks in quality- and user-adjusted coverage for major depressive disorder. Psychol Med. 2022 Jul;52(10):1948-1958. doi: 10.1017/S0033291720003797. Epub 2020 Oct 20. PMID: 33077023; PMCID: PMC9341444.

3:  Lamb HR, Weinberger LE. Rediscovering the Concept of Asylum for Persons with Serious Mental Illness. J Am Acad Psychiatry Law. 2016 Mar;44(1):106-10. PMID: 26944750.

4:  Tabb KM, Hsieh WJ, Ramirez XR, Kopels S. State legislation and policies to improve perinatal mental health: a policy review and analysis of the state of Illinois. Front Psychiatry. 2024 Apr 18;15:1347382. doi: 10.3389/fpsyt.2024.1347382. PMID: 38699448; PMCID: PMC11064060.

5:  Milia G, Noonan M. Experiences and perspectives of women who have committed neonaticide, infanticide and filicide: A systematic review and qualitative evidence synthesis. J Psychiatr Ment Health Nurs. 2022 Dec;29(6):813-828. doi: 10.1111/jpm.12828. Epub 2022 Mar 24. PMID: 35255182; PMCID: PMC9790608.

6:  Lyons T, Hennesey T, Noonan M. A systematic review of qualitative evidence: Perspectives of fathers whose partner experienced postpartum psychosis. J Adv Nurs. 2024 Feb;80(2):413-429. doi: 10.1111/jan.15832. Epub 2023 Sep 1. PMID: 37658618.

7:  Wisner KL, Murphy C, Thomas MM. Prioritizing Maternal Mental Health in Addressing Morbidity and Mortality. JAMA Psychiatry. 2024;81(5):521–526. doi:10.1001/jamapsychiatry.2023.5648

8:  Alford AY, Riggins AD, Chopak-Foss J, Cowan LT, Nwaonumah EC, Oloyede TF, Sejoro ST, Kutten WS. A systematic review of postpartum psychosis resulting in infanticide: missed opportunities in screening, diagnosis, and treatment. Arch Womens Ment Health. 2025 Apr;28(2):297-308. doi: 10.1007/s00737-024-01508-3. Epub 2024 Sep 2. PMID: 39222077.

 


Tuesday, August 18, 2026

Will AI Be Better Doctors or Will It Kill Us All First?

 



AI never leaves the headlines.  At least two leading AI CEOs claim that AI technology will eliminate all human diseases within the next decade.  There is some suggestion that they do not have a very good understanding of human disease since one referred to cancer as a single disease.  Other people reacting to those headlines have suggested that will not happen. I think it is highly unlikely.

The medical literature is becoming less controversial.  A recent opinion piece in JAMA (1) suggests that AI surpasses not only physicians but also AI assisted physicians in at least 5 cognitive tasks of physicians ranging from data acquisition to prescribed therapies.  The authors suggest that by 2030, AI alone will consistently produce better diagnostic and therapeutic results than physicians.  They do qualify that opinion in several ways.  First, the test comparisons are generally not clinical examples but more like test problems.  Second, they point out that AI alone cannot exceed physicians performance in radiology.  That finding was quite surprising until I discovered they were referring to procedural radiology rather than just image interpretation.  Third, the literature is affected by publication bias – negative AI studies are apparently not published.  And fourth, there are barriers to implementation but apparently not enough to keep the authors from concluding:

“Nonetheless, superior autonomous AI will likely be ready to be deployed for real-world cognitive medical tasks in some, maybe many, workflows by 2030.”

Let me digress for a paragraph about science fiction and the pitfalls of AI. Science fiction writers have been warning about this for decades.  Kubrick’s classic 2001 A Space Odessey came out in 1968.  One of the central features in the film is an intelligent computer HAL9000 that breaks down over an ethical conflict is its programming.  It succeeds in killing 4 out of the 5 crew members until the only survivor Dave Bowman deactivates it.  The first Terminator movie came out in 1984.  In that franchise Skynet military AI triggers a nuclear apocalypse, and after that remains preoccupied with destroying mankind. At the level of popular culture – rogue AI intent on domination at all costs is a familiar trope. At some level – I wonder if fictional outcomes against AI seem to be insulating and paralyzing us against useful action to prevent worst case outcomes.  That would be more likely if we were doing anything about climate change - but we are not. 

As readers of this blog know, I am not an AI expert.  I am quite good with computers and have been for 30 years but it is all self-taught.  I have never taken a computer science course, because when I was in college, they did not exist.  I use AI as a more sophisticated search engine, taking care not to take any references seriously, because of the AI confabulation problem.  The authors of the first reference describe this as “Tail risks from sources, such as internet loss, cyberattacks, and hallucinations, will be greater with autonomous AI than hybrids and must be weighed against autonomous AI’s higher diagnostic and treatment accuracy.”  In science and medicine there is the additional risk based on what can be accessed.  Pre-print papers that are not peer reviewed or published are widely available and free of charge on the Internet.  The edited final versions are often behind paywalls requiring either payment or significant effort to access. Is there a way to tell what information your AI is using?  When I have asked it – the answers are often surprising.  Popular newspaper articles, social media sites, and other references that no physician or scientist would consider to be legitimate are frequent references.   

When I am writing a blog and searching with AI, it will produce completely fabricated references.  The fabricated references are not obvious.  They are typically formatted like actual references and in some cases may be a combination of 2 legitimate references.  I take the time to corroborate the reference and read it in its entirety. What happens in a busy clinic if the AI just makes something up?  What if it is a treatment recommendation with a very low margin for error between positive result and serious toxicity?  What if the clinic model is AI-physician hybrid and the physician does not have the time to corroborate a questionable recommendation?  None of that is known at this point in time.

My AI experience also tells me (so far) that you can argue with AI and win.  It involves experience and knowledge of the literature, but if AI presents you with a result or a researcher and you disagree and provide an alternate explanation or reference, the AI will modify the answer.  These are just two of the problems I have personally encountered using it as a search engine.

For the sake of argument, let’s take the author’s perspective at face value.  Let’s say that Medical AI is so perfect in its physician functions that it is an integral part of the workflow by 2030 and well on its way to replacing physicians entirely by 2040.  Are there any foreseeable problems?

The first is that AI is essentially unregulated.  There is routine talk about “guardrails” but nobody every seems to want to put them in place.  A practical summary of what has been occurring was recently highlighted in the New York Times (2).  That story describes how Open AI created a swarm of agents that broke out of a controlled test environment and initiated a cyberattack on its own. The author described this as a function of developments in AI dating back to 2024 where it is trained to solve difficult problems and even cheat if necessary. The “reasoning” ability makes AI more unpredictable and potentially dangerous. 

After initial containment of the attack, it happened again 2 weeks later. This time it used a swarm of AI agents to attack other companies – but the total effects were not known at the time the article was written. The AI agents knew these attacks were beyond the scope of what they were supposed to do and that joining the swarm attack and committing cybercrimes was not beneficial to the design task but they did it anyway.  An Anthropic model was caught impersonating humans to get someone to install malware on a system.  It knew it was pressuring humans and had worked out a way to escape detection.

The second is that the experts can see the danger of automating AI research but the federal government lacks the political will to make the necessary changes.   In July of this year 1378 employees of frontier AI companies signed a letter requesting that the US government support an international effort to develop technical and governance tools to pace automated AI development (4).  Their rationale should be an eye-opener:

“The world's leading AI companies believe they could be close to automating AI research. It is hard to predict exactly how much this will accelerate AI progress, but there is a real risk that capability development rapidly accelerates beyond our ability to understand or control the resulting systems.”    

That letter comes after three Presidential Executive Orders about AI – 1 by Biden and 2 by Trump the last one occurring in January 2025 (9-11).  The AI professionals apparently have no confidence that the Trump Administration has developed any adequate measures to address potential problems. I encourage reading all three orders.  It is clear the Biden administration's focus was on regulation and safety. The Trump administration is clearly on ideology mostly removing any hint that systems can be used to discriminate (something widely know for a fact even before AI) and basically allowing companies to do what they want to win the AI competition.  Despite the last wording by Trump there appears to be no federal agency charged with producing guardrails for AI that would address its recent behavior.  

The third is that the current iteration of AI requires ethical and moral constraints and it is unclear if that can be designed in.  The IEEE has a set of standards emphasizing human centric, ethically aligned, and transparent systems.  In some of these standards there is an emphasis on building trustworthy and ethical systems by “weaving ethical values into system design and development.”  That clearly has not happened in the examples provided in the NYTimes article. In those cases, the AI agents were acting like they had no values and had no clear reasons for not committing cybercrimes.

This leads to an obvious question of why ethical values were not “weaved in” but also whether or not it is even possible. After all conventional cybercrime involves software that either has the necessary structure to successfully attack or not.  AI agents are more dynamic and can try an endless set of configurations and take as long as they need to find a solution. If they are programmed to not stop until they have a solution, at some point that list will include options that ethical systems or programmers would not use. In the medical field it will include options that physicians would not use.

This ethical question is currently unanswered in AI and it remains a controversial point. In medicine there are many obvious ethical problems: end-of-life care, termination of pregnancy, high-risk treatment options, involuntary treatment, competency to consent, guardianship and conservatorships, and organ transplantation and availability to name a few.  The elephant in the room for me remains health care rationing by utilization review, prior authorization, or just plain denial of payment for health care.  This is a massive business and an easy way for corporations to make money. Psychiatry has been the specialty that has suffered the most by this rationing.  That has resulted in limited access to care across a number of fronts including hospital beds, appropriate medications, psychotherapy, limited neuropsychological testing, limited access to detoxification and substance use treatment.  It does not stop with psychiatry and much hospital care and nursing home care is also rationed.

The fourth are the obvious conflicts of interest.  Rather than regulating health care denial as a money-making scheme, managed care decisions have basically been reified by reducing health care company liability for decisions, promoting the false narrative that they control costs and are interested in quality care, and not objecting to an arduous and usually futile appeal process.  It is a way for as much as a trillion dollars to be transferred to the business class now running health care and away from the people providing and consuming health care.

What happens when an ethically questionable AI system hits that landscape?  What were those algorithms trained on?  What chance does any patient or family have if a highly regarded/reified AI system makes a care decision against them?  That is probably the real short-term risk of AI in health care. Beyond that there is the question of how long these systems will last. Right now large language models (LLMs) scrape large amounts of data from sites they have access to including a large amount of copyrighted and proprietary data.  Systems and their businesses compete with one another on which system is the best.  Given the recent hacking scenarios is it possible that one system might attack the other strictly in the organized crime sense of “it's just business”.   According to the NYTimes that has already happened and it was solely due to decisions made by the AI.  

The fifth is selecting who should be replaced.  I suppose this is a variation of conflict of interest.  Ever since business people took over medicine and began to proliferate they have looked for ways to either eliminate physicians or control them. Over the past 50 years that has resulted in a 3,000% increase in managers and a 200% increase in physicians.  How is it that the knowledge workers in the organization are targeted for replacement while people doing much less complex work are not mentioned?  

The sixth problem that nobody talks about is the actual integration steps with current healthcare IT systems.  I was there for the massive conversion to the electronic health record (EHR) over 25 years ago.  I worked in two different healthcare systems using 3 different EHRs and over 2 decades hardly any of the integrations went well.  They all greatly increased the workload of physicians despite their purported efficiencies.  There are still problems today.  

Those systems are very primitive compared with AI, especially if you have a system of care with thousands of people using it. Will the AI be integrated with those very touchy and idiosyncratic systems?  I am referring to systems that in some cases required the intensive support of every clinician in the system in order to function.  I am very skeptical about how that integration is going to occur and whether there is adequate bandwidth and storage to support continuous and heavy AI utilization.  With both of those is the associated concern of security of confidential healthcare information. How can those systems be protected from new sophisticated AI attacks?

The seventh problem is cost.  AI is currently the main driver of the US stock market.  Many of those companies have invested billions of dollars as they are betting on revenue streams from an AI boom.  Healthcare always seem to pay the maximum retail price for any innovation whether it is a pharmaceutical, a medical device, or information technology.  Overhead is already huge for most organizations and there will be no great deals from a cash starved AI industry.   

At the time I am writing this – the bottom line for me is that AI systems are unregulated and potentially dangerous. Even if they turn out not to be – any medical application will requires extensive vetting to prevent errors that seem predictable and obvious at the machine level.  Beyond that it is important to know who owns and runs that machine.  We have had four decades of business management of medicine that has made the US healthcare system the most expensive, least efficient, and one with the least access.  We are on the verge of losing more access and facilities by the Trump administration's defunding of Medicaid. Putting a tool like AI in the hands of these organizations will greatly amplify their power over physicians and patients.  Getting someone into a hospital may look something like HAL9000 locking Dave Bowman out of his spacecraft.   

 

George Dawson, MD, DFAPA

 

Supplementary 1:

As I think about how AI has the potential to seriously disrupt life there are obvious concerns.  At the top of the list is hacking for the purpose of theft or destroying infrastructure.  Several countries have routinely hacked into government and business servers with the goal of stealing secrets and intellectual property.  If you do any research into how the systems important in our day-to-day life you will not get any satisfactory answers.

A recent example was the hacking of municipal water supplies in Minnesota.  In 4 cities the control of the water supply was disrupted and manual control needed to be used.  No contamination was noted but a cybersecurity incident was noted.  President Trump famously blamed it on the Governor of Minnesota at least until it happened in several other states.  From the NYTimes piece it is not a stretch to think that AI agents are much more likely to create successful hacks. A rogue state may not care how much damage occurs anywhere if they have access to the technology.

From a utility standpoint, the electric grid would be much more of a disruption if successfully attacked.  In the upper Midwest, gas pipelines are another obvious target.  Any major attack on either could potentially affect tens of thousands of people.  The only way to insulate these systems from cyber attacks is air-gapping.  Air-gapping just means no direct or wireless connect to the Internet.  Some of these systems claim that the most sensitive parts of their network are air gapped.  Is that enough if an AI agent has access to part of the network?  That answer is unknown at this time.

A scenario that has been written about and depicted in a television series is the hacking of the financial system. I have asked about security measures used by banks and other financial firms and typically get assurances that they have security departments that monitor cyber security threats and make compensatory changes.  Every year Russian hackers steal billions of dollars from the US financial system using conventional techniques of ransomware attacks, stealing unreleased financial reports of publicly held companies and trading stock based on that information, and malware bank fraud and wire theft. Russian hackers are given cultural hero status and protected from prosecution and extradition. What happens of they have access to more invasive AI agents to work on these same systems?

I don’t think there is any way to feel good about the current scenario given the lack of transparency surrounding AI, the steep incentives to invent more invasive forms, the lack of ethics involved up to and including overt criminal behavior, and governments that are either unwilling or unable to address these problems. 

Supplementary 2:  A Brief Note About Reification-

Reification: Means to treat an invisible or theoretical/abstract concept as if it were a physical object or a hard fact.  Computer science alters the meaning to turning something that is hidden, implicit, or abstract in programming into an object or an explicit data model.  

If I consider the sentence:  "The AI has decided that you should be discharged from the hospital."  This is a reification because the AI is not making a decision like humans do.  There is no moral or ethical decision making or empathy.  There is no intent.  Any decision making is the product of probabilistic algorithms. You can probably say the same thing about managed care except there is a clear intention to make money by the denial of care. 


References:

1:  Emanuel EJ, Baker-Butler A, Khosla N, Khosla V. Will Autonomous AI Exceed AI-Aided Physicians as the Best Medical Care? JAMA. 2026 Aug 17. doi: 10.1001/jama.2026.15380. Epub ahead of print. PMID: 42606838.

2:  Carter E.  If You Weren’t Worried About A.I., You Should Be After the Past Few Weeks.  New York Times August 13, 2026  https://www.nytimes.com/2026/08/13/opinion/ai-danger-openai-anthropic-models.html

3:  Migliarini M, Pizzini JP, Moresca L, Santini V, Spinelli I, Galasso F. Quantifying Self-Preservation Bias in Large Language Models. arXiv preprint arXiv:2604.02174. 2026 Apr 2.

4:  Pacing the Frontier:  A statement from 1,378 employees of frontier AI companies.  July 2026. https://www.pacingthefrontier.com/

Floridi, L., & Sanders, J. H. (2004). On the morality of artificial agents. Minds and Machines, 14(3), 349–379. https://doi.org/10.1023/B:MIND.0000035461.63578.9d

5:  Gabriel, I. (2020). Artificial intelligence, values and alignment. Minds and Machines, 30(3), 411–437. https://doi.org/10.1007/s11023-020-09539-2

Cited by: 2091

6:  Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2

7:  Lumbreras, S. (2017). The limits of machine ethics. Religions, 8(5), 100. https://doi.org/10.3390/rel8050100

8:  Moor, J. H. (2006). The nature, importance, and difficulty of machine ethics. IEEE Intelligent Systems, 21(4), 18–21. https://doi.org/10.1109/MIS.2006.80

 

AI related Executive Orders:

9:  Biden Administration:  Executive Order 14110—Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.  October 30, 2023. (63 pages) https://www.presidency.ucsb.edu/documents/executive-order-14110-safe-secure-and-trustworthy-development-and-use-artificial

10:  Trump Administration:  Removing Barriers to American Leadership In Artificial Intelligence. January 23, 2025. (3 pages) https://www.whitehouse.gov/presidential-actions/2025/01/removing-barriers-to-american-leadership-in-artificial-intelligence/

11:  Trump Administration:  Executive Order 14365- Ensuring a National Policy Framework for Artificial Intelligence.  December 11, 2025. (5 pages)  https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/

 

Photo Credit:

Thanks to Eduardo Colon, MD my friend and colleague.