aceGenerative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires. This narrative review proposes a framework based on two dimensions: contextual complexity and influence on patient care. Greater contextual complexity can make errors harder to detect, whereas greater influence on c…
Studies of ambient AI scribes suggest they reduce documentation burden for clinicians in rheumatology practice.
The authors state that existing evidence on AI benefits, accuracy, and reliability remains mixed, and evidence of improved patient outcomes from decision-support applications is limited.
Evidence
- Peer-reviewedArthritis Care & Research2026-10-20
How should this claim be treated?
Truvace Impact Record TRV-2026-2094, v1: “Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?.” Truvace, 2026-10-21. /record/TRV-2026-2094 (accessed at citation time). sha256 8fa32837a766171f…
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