Literature DB >> 33551883

Psychiatric Advance Directives and Artificial Intelligence: A Conceptual Framework for Theoretical and Ethical Principles.

Stéphane Mouchabac1,2, Vladimir Adrien1,2, Clara Falala-Séchet3, Olivier Bonnot4,5, Redwan Maatoug2,6, Bruno Millet2,6, Charles-Siegfried Peretti1, Alexis Bourla1,7, Florian Ferreri1,2.   

Abstract

The patient's decision-making abilities are often altered in psychiatric disorders. The legal framework of psychiatric advance directives (PADs) has been made to provide care to patients in these situations while respecting their free and informed consent. The implementation of artificial intelligence (AI) within Clinical Decision Support Systems (CDSS) may result in improvements for complex decisions that are often made in situations covered by PADs. Still, it raises theoretical and ethical issues this paper aims to address. First, it goes through every level of possible intervention of AI in the PAD drafting process, beginning with what data sources it could access and if its data processing competencies should be limited, then treating of the opportune moments it should be used and its place in the contractual relationship between each party (patient, caregivers, and trusted person). Second, it focuses on ethical principles and how these principles, whether they are medical principles (autonomy, beneficence, non-maleficence, justice) applied to AI or AI principles (loyalty and vigilance) applied to medicine, should be taken into account in the future of the PAD drafting process. Some general guidelines are proposed in conclusion: AI must remain a decision support system as a partner of each party of the PAD contract; patients should be able to choose a personalized type of AI intervention or no AI intervention at all; they should stay informed, i.e., understand the functioning and relevance of AI thanks to educational programs; finally, a committee should be created for ensuring the principle of vigilance by auditing these new tools in terms of successes, failures, security, and relevance.
Copyright © 2021 Mouchabac, Adrien, Falala-Séchet, Bonnot, Maatoug, Millet, Peretti, Bourla and Ferreri.

Entities:  

Keywords:  artificial intelligence; clinical decision support system; joint crisis plan; medical ethics; predictive medicine; psychiatric advance directives

Year:  2021        PMID: 33551883      PMCID: PMC7862130          DOI: 10.3389/fpsyt.2020.622506

Source DB:  PubMed          Journal:  Front Psychiatry        ISSN: 1664-0640            Impact factor:   4.157


  50 in total

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