This paper is in the following e-collection/theme issue:

Viewpoints on and Experiences with Digital Technologies in Health (107) Adoption and Change Management of eHealth Systems (944) Clinical Communication, Electronic Consultation and Telehealth (796) Electronic Health Records (1370) Tools, Programs and Algorithms (405) eHealth Infrastructures (437) Clinical Informatics (1421)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57035, first published .
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data

Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data

Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data

Authors of this article:

I S van Maurik1 Author Orcid Image ;   H J Doodeman1 Author Orcid Image ;   B W Veeger-Nuijens1 Author Orcid Image ;   R P M Möhringer2 Author Orcid Image ;   D R Sudiono2, 3 Author Orcid Image ;   W Jongbloed4 Author Orcid Image ;   E van Soelen1 Author Orcid Image
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  1. Perry B, Osimo E, Si S, Hitchins K, Lewis C, Laws B, Griffin S, Khandaker G, Murray G, Shiers D, Chew-Graham C, Jones P, Denniston A, Bardus M, Jowett S, Walsh A, Arshad S, Formanek T, Pillinger T, McCutcheon R, Holt R, Heyse S, Rambousek M, Whiteley K, Upthegrove R, Ensor J, Vazquez-Bourgon J, Vandenberghe F, Chan S, Teasdale S, Curtis J, Ward P, Keinänen J, Brodeur S, Quadackers D, Solmi M, Virani S, Zavala G. Cardiometabolic prediction models for young people with psychosis spectrum disorders in the UK (PsyMetRiC 2.0): a retrospective, multicohort clinical prediction model study. The Lancet Psychiatry 2026 View