The impact of artificial intelligence on the person-centred, doctor-patient relationship : some problems and solutions

© 2023. The Author(s)..

Artificial intelligence (AI) is often cited as a possible solution to current issues faced by healthcare systems. This includes the freeing up of time for doctors and facilitating person-centred doctor-patient relationships. However, given the novelty of artificial intelligence tools, there is very little concrete evidence on their impact on the doctor-patient relationship or on how to ensure that they are implemented in a way which is beneficial for person-centred care.Given the importance of empathy and compassion in the practice of person-centred care, we conducted a literature review to explore how AI impacts these two values. Besides empathy and compassion, shared decision-making, and trust relationships emerged as key values in the reviewed papers. We identified two concrete ways which can help ensure that the use of AI tools have a positive impact on person-centred doctor-patient relationships. These are (1) using AI tools in an assistive role and (2) adapting medical education. The study suggests that we need to take intentional steps in order to ensure that the deployment of AI tools in healthcare has a positive impact on person-centred doctor-patient relationships. We argue that the proposed solutions are contingent upon clarifying the values underlying future healthcare systems.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:23

Enthalten in:

BMC medical informatics and decision making - 23(2023), 1 vom: 20. Apr., Seite 73

Sprache:

Englisch

Beteiligte Personen:

Sauerbrei, Aurelia [VerfasserIn]
Kerasidou, Angeliki [VerfasserIn]
Lucivero, Federica [VerfasserIn]
Hallowell, Nina [VerfasserIn]

Links:

Volltext

Themen:

AI
Doctor-patient relationship
Empathy
Journal Article
Person-centred care
Research Support, Non-U.S. Gov't
Review
Shared decision-making
Trust

Anmerkungen:

Date Completed 24.04.2023

Date Revised 24.04.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s12911-023-02162-y

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM355852896