Utilizing electronic health record pre-consultation data to create a predictive algorithm for diagnosis of chronic pediatric rheumatic conditions
Utilizing the EHR to create a predictive algorithm for chronic rheumatic disease presents a promising solution to existing patient care challenges. This approach suggests that integrating such models to the referral process could help expedite access to pediatric rheumatology services. Key Points • Patient referrals to pediatric rheumatology specialists often lead to non-rheumatic diagnosis. • Patient-reported data within the electronic health record can be utilized to predict likelihood of rheumatic disease. • Electronic algorithms to predict rheumatic disease could expedite patient care access to pediatric rheumatology, which currently has a physician shortage and potentially long wait times.
Authors
- Laura R. Pratt (ORCID: https://orcid.org/0000-0002-9990-9032)
- Kyla Driest (ORCID: https://orcid.org/0000-0002-6514-4182)
- Alysha J. Taxter (ORCID: https://orcid.org/0000-0002-2429-116X)
- Klaus Lauer
Institutions
- Nationwide Children's Hospital (US)
- The Ohio State University (US)
Publication Details
- Journal
- Clinical Rheumatology
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1007/s10067-025-07631-5
- Citations
- 1
- Primary Topic
- Autoimmune and Inflammatory Disorders Research
- Type
- article
- Field-Weighted Citation Impact
- 1.77