Accessibility settings

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

Tutorial (85) Clinical Informatics (1512) Telehealth and Telemonitoring (2271) Electronic Health Records (1433) E-Health / Health Services Research and New Models of Care (832)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73987, first published .
Doctor using a laptop to fill out a medical history form, with medical equipment on the desk.

Challenges and Recommendations for Electronic Health Records Data Extraction and Preparation for Dynamic Prediction Modeling in Hospitalized Patients: Practical Guide and Tutorial

Challenges and Recommendations for Electronic Health Records Data Extraction and Preparation for Dynamic Prediction Modeling in Hospitalized Patients: Practical Guide and Tutorial

Authors of this article:

Elena Albu1 Author Orcid Image ;   Shan Gao1 Author Orcid Image ;   Pieter Stijnen2 Author Orcid Image ;   Frank E Rademakers3 Author Orcid Image ;   Bas CT van Bussel4, 5, 6 Author Orcid Image ;   Taya Collyer7, 8 Author Orcid Image ;   Tina Hernandez-Boussard9 Author Orcid Image ;   Laure Wynants1, 4, 10 Author Orcid Image ;   Ben Van Calster1, 10 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Schrader N, Meißner B, Fischer P, Röder D, Ertl M, Meybohm P, Schmid B. Extraction and processing of intensive care chart data from a patient data management system. Frontiers in Digital Health 2026;8 View
  2. Natori A, Bonnell J, Stathias V, Fleszar-Pavlovic S, Ogihara M, Wang A, Vadapalli R, Noriega Esquives B, Crane T, Penedo F. Machine Learning Risk Stratification Approach Using Patient-Reported Outcomes for Forecasting Unplanned Health Care Use and Symptom Burden in Cancer Survivors. JCO Clinical Cancer Informatics 2026;10(2) View