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April 15, 2026Arthritis & Rheumatology0 citationsOpen Access

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems

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DCDavid ChengMassachusetts General HospitalXWXuan WangUniversity of UtahGMGregory C McDermottBrigham and Women's Hospital

Key Points

  • The aim is to assess how well rheumatoid arthritis disease activity can be inferred from electronic health records across different health systems.
  • Analyzed electronic health record data from multiple health institutions.
  • Evaluated within-institution and cross-institution performance of disease activity inference.
  • Investigated associations between inferred disease activity and major adverse cardiovascular events (MACE).
  • Inferred disease activity was consistent with known associations with MACE.
  • Cross-institutional performance showed limitations compared to within-institution evaluations.
  • Findings support the use of inferred disease activity in generating real-world evidence.

Abstract

RA disease activity can be inferred at scale from within-institution EHR data, though cross-institution performance is limited. The inferred disease activity replicated the association with MACE and supports its use in future studies to generate RWE.

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Cite This Study

Cheng et al. (2026) studied this question.

synapsesocial.com/papers/69df2c9ee4eeef8a2a6b1dcahttps://doi.org/10.1002/art.70181
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