Loading...
Paper Number
1382
Paper Type
short
Description
Artificial intelligence (AI) has emerged as a powerful tool for complex decision-making. However, little is known about how AI-based systems should be integrated into clinical practice to improve patient and provider outcomes. We argue that AI-based systems are no longer passive tools and can assume certain responsibilities for tasks. A novel aspect of our study is the exploration of the power relationship between AI and physicians, which can significantly impact medical care. Therefore, we aim to shed light on how configurations of power in AI interactions influence technostress and work outcomes. We outline a lab-in-the-field experiment on diagnosis and reporting by physicians using AI. Our study aims to uncover (1) the differential effects of power configurations in AI on physicians’ positive and negative technostress levels, and (2) their psychological and behavioral outcomes. We aim to contribute to information systems research and practice by highlighting the power implications of AI.
Recommended Citation
Grüning, Maximilian; Henkenjohann, Richard; Pinto dos Santos, Daniel; and Trenz, Manuel, "Artificial Intelligence, Technostress and Work Outcomes in Healthcare: A Power Perspective on AI Characteristics" (2023). ICIS 2023 Proceedings. 19.
https://aisel.aisnet.org/icis2023/ishealthcare/ishealthcare/19
Artificial Intelligence, Technostress and Work Outcomes in Healthcare: A Power Perspective on AI Characteristics
Artificial intelligence (AI) has emerged as a powerful tool for complex decision-making. However, little is known about how AI-based systems should be integrated into clinical practice to improve patient and provider outcomes. We argue that AI-based systems are no longer passive tools and can assume certain responsibilities for tasks. A novel aspect of our study is the exploration of the power relationship between AI and physicians, which can significantly impact medical care. Therefore, we aim to shed light on how configurations of power in AI interactions influence technostress and work outcomes. We outline a lab-in-the-field experiment on diagnosis and reporting by physicians using AI. Our study aims to uncover (1) the differential effects of power configurations in AI on physicians’ positive and negative technostress levels, and (2) their psychological and behavioral outcomes. We aim to contribute to information systems research and practice by highlighting the power implications of AI.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
16-HealthCare