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

Objectives To develop a predictive algorithm for diagnosing chronic pediatric rheumatic conditions using patient-reported, historical, and referral data in the electronic health record (EHR) to address current lengthy consultation wait times. Methods All new rheumatology patient evaluations from 202...

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Veröffentlicht in:	Clinical rheumatology Jg. 44; H. 10; S. 4203 - 4214
Hauptverfasser:	Lauer, Kendra R., Driest, Kyla, Pratt, Laura R., Taxter, Alysha
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.10.2025 Springer Nature B.V
Schlagworte:	Adolescent Algorithms Antinuclear antibodies Arthritis Autoimmune diseases Child Childhood Chronic Disease Complaints Diagnosis Electronic Health Records Electronic medical records Female Fibromyalgia Humans Inflammation Lupus Lupus Erythematosus, Systemic - diagnosis Male Medicine Medicine & Public Health Original Article Pain Patients Pediatrics Prediction Algorithms Questionnaires Referral and Consultation Regression analysis Retrospective Studies Rheumatic diseases Rheumatic Diseases - diagnosis Rheumatology Sensitivity analysis Systemic lupus erythematosus Workforce United States > US Systemic lupus erythematosus Electronic health record Pediatric rheumatology Juvenile idiopathic arthritis
ISSN:	0770-3198, 1434-9949, 1434-9949
Online-Zugang:	Volltext
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