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Assessing Artificial Intelligence Solution Effectiveness: The Role of Pragmatic Trials
Mauricio F Jin1, Peter A Noseworthy2, Xiaoxi Yao2,3
1Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Mayo Clinic Proceedings. Digital Health
|April 10, 2025
Summary
Pragmatic trials are essential for evaluating artificial intelligence (AI) in healthcare. These trials assess AI
Area of Science:
- Health Informatics
- Clinical Trial Design
- Artificial Intelligence in Medicine
Background:
- Digital solutions, including artificial intelligence (AI), are transforming healthcare research and patient care.
- Ethical AI implementation necessitates rigorous evaluation in real-world clinical settings.
- Evaluation encompasses technical performance, usability, acceptability, and health impact.
Purpose of the Study:
- To introduce the concept and critical role of pragmatic trials in evaluating AI in healthcare.
- To discuss challenges associated with conducting pragmatic trials for AI evaluation and propose mitigation strategies.
- To examine common pragmatic trial designs and provide examples of AI trials.
Main Methods:
- Review of the literature on pragmatic trials and their application to artificial intelligence evaluation.
- Analysis of common pragmatic trial designs.
- Identification and discussion of challenges and mitigation strategies for pragmatic trials in AI evaluation.
Main Results:
- Pragmatic trials are crucial for assessing the health impact of AI in routine clinical practice.
- Key challenges in conducting these trials include [specific challenges not detailed in abstract].
- Strategies exist to overcome these challenges, facilitating robust AI evaluation.
Conclusions:
- Pragmatic trials are indispensable for the ethical and effective integration of AI into healthcare.
- Embedded pragmatic trials are vital for learning health systems, enabling continuous improvement.
- Future healthcare systems will increasingly rely on pragmatic trials for AI feedback and refinement.
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