aceClinician-in-the-loop automated intake in integrative medicine: A multi-component quality-improvement evaluation
Background Integrative medicine intake requires a multidomain assessment. However, the necessary information is often scattered across electronic health records (EHRs), laboratory reports, clinical notes, and patient uploads, creating pre-visit and post-visit bottlenecks for care planning and insurance-support documentation. Objective To introduce and evaluate a clinician-in-the-loop, automated, artificial intelligence (AI)-assisted intake model designed for data completeness, clinical usability, and reimburseme…
A clinician-in-the-loop AI intake workflow consolidated fragmented records and recovered undocumented medication history, with 22 of 25 methylation treatment strategies approved unchanged.
Overall care-plan summaries matched clinician review in only 72% (18/25) of cases, so about a quarter of summaries needed clinician correction.
The evidence is a small quality-improvement evaluation (25 cases in the examples) supporting feasibility only, and care-plan summary concordance was just 72%, so clinician review is still needed.
Evidence
- Peer-reviewedEXPLORE2026-10-12
How should this claim be treated?
Truvace Impact Record TRV-2026-2064, v1: “Clinician-in-the-loop automated intake in integrative medicine: A multi-component quality-improvement evaluation.” Truvace, 2026-10-21. /record/TRV-2026-2064 (accessed at citation time). sha256 2d3e1df826f3648c…
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