Toward an operational definition of Artificial Intelligence for health care informatics: a Delphi survey
The proliferation of Artificial Intelligence (AI) technologies, fueled by advancements in computational power and generative models, is rapidly reshaping healthcare delivery and research. However, the absence of a standardized definition of AI impedes regulatory development, confounds public discourse, and hinders clinical adoption. This study provides clarity for AI developers and users in terminology surrounding the topic, which will ultimately assist in mitigating risks to patients and the public. Utilizing a multiphase Delphi method involving international informatics experts, we synthesized existing definitions and facilitated consensus on an operational definition of AI tailored to healthcare contexts. Our findings aim to establish a foundational framework to guide ethical governance, promote funding alignment, and optimize AI integration in clinical settings.
Authors
- Carolyn Sun (ORCID: https://orcid.org/0000-0001-9628-6901)
- Shannon L. Harris (ORCID: https://orcid.org/0000-0002-9877-165X)
- Shakib Hossain
Institutions
- Virginia Commonwealth University (US)
- Columbia University Irving Medical Center (US)
- Hunter College (US)
Publication Details
- Journal
- Health Affairs Scholar
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1093/haschl/qxaf243
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00