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

Electronic Health Records (1149) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (626) Clinical Informatics (1126) Chronic Conditions (325) Secondary Use of Clinical Data for Research and Surveillance (408) Clinical Information and Decision Making (1599)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62978, first published .
Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Large-Scale Evaluation and Liver Disease Risk Prediction in Finland’s National Electronic Health Record System: Feasibility Study Using Real-World Data

Authors of this article:

Viljami Männikkö1, 2 Author Orcid Image ;   Janne Tommola1 Author Orcid Image ;   Emmi Tikkanen3 Author Orcid Image ;   Olli-Pekka Hätinen3 Author Orcid Image ;   Fredrik Åberg4 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics
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Javier Crespo Javier Crespo @DrJavierCrespo

"Finland just tested nationwide AI liver screening: 96,200 records, real-world EHR data, automated CLivD score. The challenge? No waist-to-hip ratio data. The solution? Simulate, approximate, innovate. @sepdigestiva @AEEHLiver @EASLnews @AASLDtweets https://t.co/dfVgu6w8pR

10:32 AM · Apr 06, 2025

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