Artificial Intelligence-Based Clinical Decision Support Systems in Geriatrics : An Ethical Analysis

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved..

OBJECTIVES: To provide an ethical analysis of the implications of the usage of artificial intelligence-supported clinical decision support systems (AI-CDSS) in geriatrics.

DESIGN: Ethical analysis based on the normative arguments regarding the use of AI-CDSS in geriatrics using a principle-based ethical framework.

SETTING AND PARTICIPANTS: Normative arguments identified in 29 articles on AI-CDSS in geriatrics.

METHODS: Our analysis is based on a literature search that was done to determine ethical arguments that are currently discussed regarding AI-CDSS. The relevant articles were subjected to a detailed qualitative analysis regarding the ethical considerations Supplementary Datamentioned therein. We then discussed the identified arguments within the frame of the 4 principles of medical ethics according to Beauchamp and Childress and with respect to the needs of frail older adults.

RESULTS: We found a total of 5089 articles; 29 articles met the inclusion criteria and were subsequently subjected to a detailed qualitative analysis. We could not identify any systematic analysis of the ethical implications of AI-CDSS in geriatrics. The ethical considerations are very unsystematic and scattered, and the existing literature has a predominantly technical focus emphasizing the technology's utility. In an extensive ethical analysis, we systematically discuss the ethical implications of the usage of AI-CDSS in geriatrics.

CONCLUSIONS AND IMPLICATIONS: AI-CDSS in geriatrics can be a great asset, especially when dealing with patients with cognitive disorders; however, from an ethical perspective, we see the need for further research. By using AI-CDSS, older patients' values and beliefs might be overlooked, and the quality of the doctor-patient relationship might be altered, endangering compliance to the 4 ethical principles of Beauchamp and Childress.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Journal of the American Medical Directors Association - 24(2023), 9 vom: 24. Sept., Seite 1271-1276.e4

Sprache:

Englisch

Beteiligte Personen:

Skuban-Eiseler, Tobias [VerfasserIn]
Orzechowski, Marcin [VerfasserIn]
Denkinger, Michael [VerfasserIn]
Kocar, Thomas Derya [VerfasserIn]
Leinert, Christoph [VerfasserIn]
Steger, Florian [VerfasserIn]

Links:

Volltext

Themen:

Adults
Aged
Artificial intelligence
Clinical decision support systems
Clinical ethics
Elderly
Geriatrics
Journal Article
Older
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 05.09.2023

Date Revised 07.09.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jamda.2023.06.008

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM35954150X