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Getting the latest healthcare news for you

A three-step triage system tested in Germany is helping get inflammatory rheumatic disease patients to a final diagnosis faster — about 22 days sooner than those without the condition. The system correctly identified roughly two-thirds of patients with inflammatory rheumatic and musculoskeletal disease (iRMD). Researchers say adding machine learning could make it even sharper.
Getting the right rheumatology patients seen faster is a persistent challenge, and a new German study suggests a structured three-step triage system could help. The approach combines a standardized phone interview, a brief 10-minute rheumatologist consultation, and a scheduled comprehensive assessment — all designed to prioritize patients with suspected inflammatory rheumatic and musculoskeletal disease (iRMD).
In a prospective study of 1,180 referred adults, the system correctly identified about 67% of patients who truly had iRMD and correctly ruled it out in about 75% of those who didn't. Patients with iRMD reached their final assessment in an average of 33 days, compared to 55 days for those without — a meaningful head start in a specialty known for long wait times.
By the Numbers:
Why it matters: Rheumatology referrals often involve long waits and diagnostic uncertainty. This triage framework offers a practical way to fast-track the right patients while keeping the door open for AI-assisted improvements down the line.