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Clinical decision making is a challenging task that requires practical wisdom—the practised ability to help patients choose wisely among available diagnostic and treatment options. But practical wisdom is not a concept one typically hears mentioned in medical training and practice. Instead, emphasis is placed on clinical judgement. The author draws from Aristotle and Aquinas to describe the virtue of practical wisdom and compare it with clinical judgement. From this comparison, the author suggests that a more complete understanding of clinical judgement requires its explicit integration with goals of care and ethical values. Although clinicians may be justified in assuming that goals of care and ethical values are implicit in routine decision making, it remains important for training purposes to encourage habits of clinical judgement that are consciously goal-directed and ethically informed. By connecting clinical judgement to patients' goals and values, clinical decisions are more likely to stay focused on the particular interests of individual patients. To cultivate wise clinical judgement among trainees, educational efforts should aim at the integration of clinical judgement, communication with patients about goals of care, and ethical reasoning. But ultimately, training in wise clinical judgement will take years of practice in the company of experienced clinicians who are able to demonstrate practical wisdom by example. By helping trainees develop clinical judgement that incorporates patients' goals of care and ethical reasoning, we may help lessen the risk that ‘clinical judgement’ will merely express ‘the clinician's judgement.’

Artificial intelligence (AI) has the potential to revolutionize healthcare, but is unlikely to fully replace human doctors. This paper explores the limitations of AI in healthcare, focusing on three key areas: lack of embodiment, limited understanding of meaning in everyday language, and the inability to exercise judgment and clinical reasoning. Recognizing these limitations enables us to use AI to enhance our capabilities rather than allowing it to substitute humans. Following this philosophical examination of AI's limitations, I will argue that the question of whether AI will replace doctors is a misleading one. Instead, this framework advocates for synergistic human-AI collaboration in health-care settings. It necessitates the development of hybrid entities: a physician-AI partnership and a patient-AI interface. The overarching objective is to effectively address the core mission of medicine, which is providing optimal treatment and compassionate care for all patients. This hybrid model must proactively mitigate the risks of AI integration, such as exacerbation of existing health-care challenges and potential dehumanization of patient care. Within this framework, key objectives include: reducing medical errors, fostering humane doctor-patient relationships, mitigating the trend *Corresponding Author Alireza Monajemi Address: No 4, Institute for Humanities and Cultural Studies, Iranshenasi St., Kurdestan Highway, Tehran, Iran. Zip Code: 1437774681 PO Box : 14155 Tel: (+98) 21 88 49 02 09 Email: monajemi@ihcs.ac.ir Received: 24 Dec 2024 Accepted: 6 May 2025 Published: -- May 2025 Citation to this article: Monajemi A. Why is the idea of AI completely replacing physicians a pseudo-problem? A philosophical analysis. J Med Ethics Hist Med. 2025; 18: 1. of medicalization, and ultimately improving overall public health outcomes.

This article is a description of educational innovation that utilizes concept mapping as a teaching strategy in the development of critical thinking skills of undergraduate nursing students. A concept mapping rubric was designed using Tanner's Clinical Judgment Model to guide students (n = 8) in the construction of clinical cases for the development of appropriate clinical judgment skills. Each student evaluated the concept mapping exercise and provided feedback regarding the rubric, their understanding of the clinical situation, and the development of clinical judgment skills. The students expressed that the concept mapping activity and rubric lead them to make better clinical decisions and increased clinical judgment skills. Content analysis is the research method used to make inferences from qualitative data, with the purpose of providing new insights and clinical knowledge regarding this teaching strategy. Future recommendations for the use of this teaching strategy include shortening the wording and descriptions for each stage of evaluation to promote ease of use for the student in the growth of critical thinking skills.

In the present study, the correspondence between clinician-assessed and self-reported neurocognitive performance was contrasted with scores obtained from psychometric neuropsychological tests in 148 psychiatric in-patients. Results revealed that self-reported cognitive functioning was strongly associated with depressive symptomatology but was only poorly related to psychometric neurocognitive performance, particularly in schizophrenia. After illness denial was controlled for, the overall association between subjective and objective test performance was slightly increased but still failed to reach significance in six out of eight analyses. In approximately 20% to 40% of all cases, clinicians judged memory performance to be normal despite substantial impairment revealed by neuropsychological test results (attention parameters: 7–51%). Since (ecological) validity and reliability have been demonstrated for many neurocognitive paradigms, the present results question the validity of non-psychometric neurocognitive assessment and call for a complementation of clinical judgment with neurocognitive assessment. Reasons for decreased sensitivity of self-reported and clinician-assessed neurocognitive functioning are discussed. (JINS, 2004, 10, 623–633.)

Newly graduated nurses show lacking skills and competences regarding the ability to make appropriate clinical assessment of acute, complex care situations. There is also a lack of translated, qualitative relevance-evaluated and reliability-tested rubrics in the Swedish language. The purpose of this method article was to translate, and conduct a relevance evaluation and reliability test of the identified Lasater Clinical Judgment Rubric (LCJR). In this article, the Swedish translation LCJR (S) is presented. The results showed that the LCJR (S) was both qualitatively relevant and quantitatively reliable. We claim that there are several advantages to systematic use LCJR (S) for assessment of nursing students’ clinical judgement in laboratory simulation environments with acute patient situations.

Schizophrenia is diagnosed more frequently among African Americans while mood disorders are identified more often among whites. Such findings have raised serious questions about the accuracy of clinical judgment. This article analyzes data on 665 African American and white psychiatric inpatients using a semi-structured diagnostic instrument. The paper explores the relationship of patient race to schizophrenia, schizoaffective disorder, major depression, and bipolar disorder. The paper also explores the extent to which patient race is related to the manner in which clinicians link individual symptoms to diagnoses. Results indicate some significant race differences in diagnosis remain even when a semi-structured instrument and DSM criteria are used. whites, were more likely than African Americans to receive a diagnosis of bipolar disorder and less likely to be diagnosed with schizophrenia. There were no race differences in major depression. Some patterns of symptom attribution differed by race. The results are consistent with previous sociological research showing that patient race is related to diagnosis even when standardized diagnostic criteria are used. These findings underscore the importance of clinical judgment within the context of cross-race and cross-ethnic diagnosis. Clinical training programs must reduce ethnocentric bias by teaching the appropriate use of the socio-cultural information necessary to employ DSM-IV's Cultural Formulation.

Nursing educators and preceptors often find it difficult to evaluate prelicensure students’ clinical judgment development. Clinical judgment is critical to excellent patient care decisions and outcomes. The Lasater Clinical Judgment Rubric, a validated, evidence-based clinical judgment rubric, is described as a tool that offers a common language for students, nurse educators, and preceptors and a trajectory for students’ clinical judgment development. The rubric has been used to provide feedback for reflective journals and a means for self-evaluation in addition to a guide for formulating higher level thought questions to shape students’ thinking like a nurse.

Objective To investigate whether sleep deprived people are perceived as less healthy, less attractive, and more tired than after a normal night’s sleep.Design Experimental study.Setting Sleep laboratory in Stockholm, Sweden.Participants 23 healthy, sleep deprived adults (age 18-31) who were photographed and 65 untrained observers (age 18-61) who rated the photographs.Intervention Participants were photographed after a normal night’s sleep (eight hours) and after sleep deprivation (31 hours of wakefulness after a night of reduced sleep). The photographs were presented in a randomised order and rated by untrained observers.Main outcome measure Difference in observer ratings of perceived health, attractiveness, and tiredness between sleep deprived and well rested participants using a visual analogue scale (100 mm).Results Sleep deprived people were rated as less healthy (visual analogue scale scores, mean 63 (SE 2) v 68 (SE 2), P<0.001), more tired (53 (SE 3) v 44 (SE 3), P<0.001), and less attractive (38 (SE 2) v 40 (SE 2), P<0.001) than after a normal night’s sleep. The decrease in rated health was associated with ratings of increased tiredness and decreased attractiveness.Conclusion Our findings show that sleep deprived people appear less healthy, less attractive, and more tired compared with when they are well rested. This suggests that humans are sensitive to sleep related facial cues, with potential implications for social and clinical judgments and behaviour. Studies are warranted for understanding how these effects may affect clinical decision making and can add knowledge with direct implications in a medical context.

Background Research suggests that diagnostic procedures for Autism Spectrum Disorder are not consistent across practice and that diagnostic rates can be affected by contextual and social drivers. The purpose of this review was to consider how the content of clinical practice guidelines shapes diagnoses of Autism Spectrum Disorder in the UK; and investigate where, within those guidelines, social factors and influences are considered. Methods We electronically searched multiple databases (NICE Evidence Base; TRIP; Social Policy and Practice; US National Guidelines Clearinghouse; HMIC; The Cochrane Library; Embase; Global health; Ovid; PsychARTICLES; PsychINFO) and relevant web sources (government, professional and regional NHS websites) for clinical practice guidelines. We extracted details of key diagnostic elements such as assessment process and diagnostic tools. A qualitative narrative analysis was conducted to identify social factors and influences. Results Twenty-one documents were found and analysed. Guidelines varied in recommendations for use of diagnostic tools and assessment procedures. Although multidisciplinary assessment was identified as the ‘ideal’ assessment, some guidelines suggested in practice one experienced healthcare professional was sufficient. Social factors in operational, interactional and contextual areas added complexity to guidelines but there were few concrete recommendations as to how these factors should be operationalized for best diagnostic outcomes. Conclusion Although individual guidelines appeared to present a coherent and systematic assessment process, they varied enough in their recommendations to make the choices available to healthcare professionals particularly complex and confusing. We recommend a more explicit acknowledgement of social factors in clinical practice guidelines with advice about how they should be managed and operationalised to enable more consistency of practice and transparency for those coming for diagnosis.

The purpose of this article is to discuss 10 Clinical Judgment Standards and associated best practice indicators based on current literature and an understanding of the context of clinical judgment. Throughout the article, we stress the important role that clinical judgment plays in formulating valid and precise decisions and recommendations regarding diagnosis, classification, and planning supports.