The Impact of Physician-AI Collaboration on Care Quality: Empirical Evidence in Acute Diseases

The integration of AI is reshaping decision-making, especially in healthcare, where it supports diagnostic procedures. However, a significant knowledge gap exists regarding the impact of physician-AI collaboration on patient care. Leveraging proprietary data from a hospital that implemented an AI-based risk evaluation system in 2022, we examine the effects of physician-AI collaboration on patient care outcomes, considering patient risk levels and physician experience. Results indicate that physician-AI collaboration reduces hospital stays and readmissions, particularly benefiting high-risk patients. Notably, high levels of physician experience exhibit complex moderating effects. Our findings underscore the role of AI as an assistant in healthcare, revealing variations based on patient risk and physician diverse experience. They are critical for optimizing AI integration, minimizing decision biases, and emphasizing how AI strengthens medical diagnosis with nuanced implementation.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-15
Primary Topic
Scientific Computing and Data Management
Type
article
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article

The Impact of Physician-AI Collaboration on Care Quality: Empirical Evidence in Acute Diseases

Journal of the Association for Information Systems
Scientific Computing and Data Management
article

The Impact of Physician-AI Collaboration on Care Quality: Empirical Evidence in Acute Diseases

article en

Abstract

The integration of AI is reshaping decision-making, especially in healthcare, where it supports diagnostic procedures. However, a significant knowledge gap exists regarding the impact of physician-AI collaboration on patient care. Leveraging proprietary data from a hospital that implemented an AI-based risk evaluation system in 2022, we examine the effects of physician-AI collaboration on patient care outcomes, considering patient risk levels and physician experience. Results indicate that physician-AI collaboration reduces hospital stays and readmissions, particularly benefiting high-risk patients. Notably, high levels of physician experience exhibit complex moderating effects. Our findings underscore the role of AI as an assistant in healthcare, revealing variations based on patient risk and physician diverse experience. They are critical for optimizing AI integration, minimizing decision biases, and emphasizing how AI strengthens medical diagnosis with nuanced implementation.

Journal of the Association for Information Systems
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Scientific Computing and Data Management
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