AI'll Be There: Challenges and Opportunities in the AI-Supported Doctor-Patient Relationship

Artificial Intelligence (AI)-based systems are seen as having the greatest potential to support healthcare professionals in their decisions which permeates many application fields. Patients’ trust in the doctor-patient relationship (DPR) is one of the most significant preconditions for successful treatments. Therefore, we identified the challenges and opportunities of AI-supported DPRs through data from 15 expert interviews. Hence, we derived eight design principles for AI-based systems that improve trust in the DPR. Our findings suggest that the distribution of responsibility and power can have a positive effect on AI-supported DPR. Thereby, this paper contributes to IS research by investigating the impact of AI-based systems on DPR in healthcare and proposing design suggestions for developing these systems.

Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2024-12-26
Primary Topic
Laser Design and Applications
Type
article
Field-Weighted Citation Impact
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article

AI'll Be There: Challenges and Opportunities in the AI-Supported Doctor-Patient Relationship

ScholarSpace (University of Hawaii at Manoa)
Laser Design and Applications
article

AI'll Be There: Challenges and Opportunities in the AI-Supported Doctor-Patient Relationship

article en

Abstract

Artificial Intelligence (AI)-based systems are seen as having the greatest potential to support healthcare professionals in their decisions which permeates many application fields. Patients’ trust in the doctor-patient relationship (DPR) is one of the most significant preconditions for successful treatments. Therefore, we identified the challenges and opportunities of AI-supported DPRs through data from 15 expert interviews. Hence, we derived eight design principles for AI-based systems that improve trust in the DPR. Our findings suggest that the distribution of responsibility and power can have a positive effect on AI-supported DPR. Thereby, this paper contributes to IS research by investigating the impact of AI-based systems on DPR in healthcare and proposing design suggestions for developing these systems.

ScholarSpace (University of Hawaii at Manoa)
Partnerships for the goals
Openalex Percentile: Top 60%
Laser Design and Applications
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AI'll Be There: Challenges and Opportunities in the AI-Supported Doctor-Patient Relationship · ScholarSpace (University of Hawaii at Manoa) (2024) | TGRS Research Map | TGRS