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.

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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
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article

Utilizing electronic health record pre-consultation data to create a predictive algorithm for diagnosis of chronic pediatric rheumatic conditions

Laura R. Pratt, Kyla Driest, Alysha J. Taxter, Klaus Lauer
1 citations
Clinical Rheumatology
Autoimmune and Inflammatory Disorders Research
1.77
article

Utilizing electronic health record pre-consultation data to create a predictive algorithm for diagnosis of chronic pediatric rheumatic conditions

Laura R. Pratt, Kyla Driest, Alysha J. Taxter, Klaus Lauer
article en
1 citations

Abstract

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.

Clinical RheumatologyVol. 44(10)
Nationwide Children's Hospital (US), The Ohio State University (US)
Openalex Percentile: Top 13%
Autoimmune and Inflammatory Disorders Research
1.77
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