Improving clinical decision-making in psychiatry: implementation of digital phenotyping could mitigate the influence of patient's and practitioner's individual cognitive biases.

Autor:	Mouchabac S; Department of Psychiatry, Hôpital Saint-Antoine, Sorbonne Université, AP-HP, Paris, France.; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France., Conejero I; Department of Psychiatry, CHU Nîmes, University of Montpellier, Nîmes, France.; Inserm, Unit 1061 'Neuropsychiatry: Epidemiological and Clinical Research', Montpellier, France., Lakhlifi C; PICNIC lab (Physiological investigation of clinically normal and impaired cognition), Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Université de Paris, Sorbonne Université, Paris, France., Msellek I; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France., Malandain L; University Hospital Cochin (site Tarnier), Paris, France., Adrien V; Department of Psychiatry, Hôpital Saint-Antoine, Sorbonne Université, AP-HP, Paris, France.; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France., Ferreri F; Department of Psychiatry, Hôpital Saint-Antoine, Sorbonne Université, AP-HP, Paris, France.; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France., Millet B; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France., Bonnot O; Department of Child and Adolescent Psychiatry, CHU de Nantes, Nantes, France.; Pays de la Loire Psychology Laboratory, Nantes, France., Bourla A; Department of Psychiatry, Hôpital Saint-Antoine, Sorbonne Université, AP-HP, Paris, France.; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France.; Jeanne d'Arc Hospital, INICEA Korian, Saint-Mandé, France., Maatoug R; Sorbonne Université, Hôpital de la Pitié Salpêtrière, iCRIN (Infrastructure for Clinical Research In Neurosciences), Brain Institute (ICM), INSERM, CNRS, Paris, France.
Jazyk:	angličtina
Zdroj:	Dialogues in clinical neuroscience [Dialogues Clin Neurosci] 2022 Jun 01; Vol. 23 (1), pp. 52-61. Date of Electronic Publication: 2022 Jun 01 (Print Publication: 2021).
DOI:	10.1080/19585969.2022.2042165
Abstrakt:	High stake clinical choices in psychiatry can be impacted by external irrelevant factors. A strong understanding of the cognitive and behavioural mechanisms involved in clinical reasoning and decision-making is fundamental in improving healthcare quality. Indeed, the decision in clinical practice can be influenced by errors or approximations which can affect the diagnosis and, by extension, the prognosis: human factors are responsible for a significant proportion of medical errors, often of cognitive origin. Both patient's and clinician's cognitive biases can affect decision-making procedures at different time points. From the patient's point of view, the quality of explicit symptoms and data reported to the psychiatrist might be affected by cognitive biases affecting attention, perception or memory. From the clinician's point of view, a variety of reasoning and decision-making pitfalls might affect the interpretation of information provided by the patient. As personal technology becomes increasingly embedded in human lives, a new concept called digital phenotyping is based on the idea of collecting real-time markers of human behaviour in order to determine the 'digital signature of a pathology'. Indeed, this strategy relies on the assumption that behaviours are 'quantifiable' from data extracted and analysed through connected tools (smartphone, digital sensors and wearable devices) to deduce an 'e-semiology'. In this article, we postulate that implementing digital phenotyping could improve clinical reasoning and decision-making outcomes by mitigating the influence of patient's and practitioner's individual cognitive biases. Competing Interests: No potential conflict of interest was reported by the author(s). (© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)
Databáze:	MEDLINE
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