[Supporting medical and nursing activities with AI: recommendations for responsible design and use].

Autor: Bratan T; Competence Center Neue Technologien, Fraunhofer-Institut für System- und Innovationsforschung ISI, Breslauer Straße 48, 76139, Karlsruhe, Deutschland. Tanja.Bratan@isi.fraunhofer.de., Schneider D; Competence Center Neue Technologien, Fraunhofer-Institut für System- und Innovationsforschung ISI, Breslauer Straße 48, 76139, Karlsruhe, Deutschland., Funer F; Institut für Ethik, Geschichte und Philosophie der Medizin, Medizinische Hochschule Hannover (MHH), Hannover, Deutschland.; Institut für Ethik und Geschichte der Medizin, Eberhard Karls Universität Tübingen, Tübingen, Deutschland., Heyen NB; Competence Center Neue Technologien, Fraunhofer-Institut für System- und Innovationsforschung ISI, Breslauer Straße 48, 76139, Karlsruhe, Deutschland., Klausen A; Uniklinik RWTH Aachen, Institut für Medizinische Informatik, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, Aachen, Deutschland., Liedtke W; Theologische Fakultät, Universität Greifswald, Greifswald, Deutschland., Lipprandt M; Uniklinik RWTH Aachen, Institut für Medizinische Informatik, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, Aachen, Deutschland., Salloch S; Institut für Ethik, Geschichte und Philosophie der Medizin, Medizinische Hochschule Hannover (MHH), Hannover, Deutschland., Langanke M; Angewandte Ethik/Fachbereich Soziale Arbeit, Evangelische Hochschule Rheinland-Westfalen-Lippe, Bochum, Deutschland.
Jazyk: němčina
Zdroj: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz [Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz] 2024 Sep; Vol. 67 (9), pp. 1039-1046. Date of Electronic Publication: 2024 Jul 17.
DOI: 10.1007/s00103-024-03918-1
Abstrakt: Clinical decision support systems (CDSS) based on artificial intelligence (AI) are complex socio-technical innovations and are increasingly being used in medicine and nursing to improve the overall quality and efficiency of care, while also addressing limited financial and human resources. However, in addition to such intended clinical and organisational effects, far-reaching ethical, social and legal implications of AI-based CDSS on patient care and nursing are to be expected. To date, these normative-social implications have not been sufficiently investigated. The BMBF-funded project DESIREE (DEcision Support In Routine and Emergency HEalth Care: Ethical and Social Implications) has developed recommendations for the responsible design and use of clinical decision support systems. This article focuses primarily on ethical and social aspects of AI-based CDSS that could have a negative impact on patient health. Our recommendations are intended as additions to existing recommendations and are divided into the following action fields with relevance across all stakeholder groups: development, clinical use, information and consent, education and training, and (accompanying) research.
(© 2024. The Author(s).)
Databáze: MEDLINE
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