Quality of interaction between clinicians and artificial intelligence systems. A systematic review.

ABSTRACT:

Introduction

Artificial intelligence (AI) has the potential to improve healthcare quality when thoughtfully integrated into clinical practice. Current evaluations of AI solutions tend to focus solely on model performance. There is a critical knowledge gap in the assessment of AI-clinician interactions. We systematically reviewed existing literature to identify interaction traits that can be used to assess the quality of AI-clinician interactions.

Methods

We performed a systematic review of published studies to June 2022 that reported elements of interactions that impacted the relationship between clinicians and AI-enabled clinical decision support systems. Due to study heterogeneity, we conducted a narrative synthesis of the different interaction traits identified from this

SUBMITTER: Perivolaris A 

PROVIDER: S-EPMC11399614 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature