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

Secondary Use of Clinical Data for Research and Surveillance (326) Electronic Health Records (971) Big Data (220) Quality Improvement (226) Natural Language Processing (650) Articles* (13)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40312, first published .
Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation

Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation

Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation

Authors of this article:

Ines Reinecke1 Author Orcid Image ;   Joscha Siebel1 Author Orcid Image ;   Saskia Fuhrmann2, 3 Author Orcid Image ;   Andreas Fischer3 Author Orcid Image ;   Martin Sedlmayr2 Author Orcid Image ;   Jens Weidner1 Author Orcid Image ;   Franziska Bathelt1 Author Orcid Image
Article Authors Cited by (2) Tweetations (7) Metrics

Journals

  1. Rödle W, Prokosch H, Neumann E, Toni I, Haering-Zahn J, Neubert A, Eberl S. Creating a Medication Therapy Observational Research Database from an Electronic Medical Record: Challenges and Data Curation. Applied Clinical Informatics 2024;15(01):111 View
  2. Kamdje Wabo G, Moorthy P, Siegel F, Seuchter S, Ganslandt T. Evaluating and Enhancing the Fitness-for-purpose of EHR-Data in German Medical Data Integration Centers: Current practices and Pathway to an Automated Approach in the MIRACUM-Consortium (Preprint). JMIR Medical Informatics 2024 View