Satisfaction with Artificial Intelligence Among Patients and Physicians: A Scoping Review.

Area of Science:

• Healthcare technology assessment
• Medical informatics
• Health services research

Background:

• Artificial intelligence (AI) integration in healthcare is expanding.
• Understanding patient and provider satisfaction with AI is crucial for adoption.
• Existing research on AI satisfaction in clinical settings requires synthesis.

Purpose of the Study:

• To conduct a scoping review of patient and physician satisfaction with AI in healthcare delivery.
• To synthesize findings on user perceptions and satisfaction levels with AI tools.
• To identify factors influencing satisfaction with AI in clinical practice.

Main Methods:

• Systematic literature search using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines.
• Inclusion of research published between 2003 and 2023.
• Data extraction from 45 selected articles using a standardized Microsoft Excel form.

Main Results:

• The review focused on 45 empirical studies, primarily on patient satisfaction with AI.
• Moderate to high AI satisfaction was reported in 57% of studies with general satisfaction findings.
• Higher satisfaction was observed with AI in diagnostic roles compared to treatment roles.

Conclusions:

• Physicians and patients show receptiveness to AI integration in patient care.
• Healthcare organizations should explore satisfaction drivers beyond clinical outcomes.
• Future research should examine contextual factors and diverse AI applications.