Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47958, first published .
Automated Electronic Health Record to Electronic Data Capture Transfer in Clinical Studies in the German Health Care System: Feasibility Study and Gap Analysis

Automated Electronic Health Record to Electronic Data Capture Transfer in Clinical Studies in the German Health Care System: Feasibility Study and Gap Analysis

Automated Electronic Health Record to Electronic Data Capture Transfer in Clinical Studies in the German Health Care System: Feasibility Study and Gap Analysis

Journals

  1. Leow J, Lim E, Chen K. Re: Electronic medical records – a disappointing mirage for clinicians and research. BJU International 2024;133(S3):76 View
  2. Timmerman L, Dutton H, McDannald N, Smitherman E, Mannion M. Electronic health record modification and dashboard development to improve clinical care in pediatric rheumatology. Frontiers in Pediatrics 2024;12 View
  3. Pavão J, Bastardo R, Rocha N. A systematic review of the use of FHIR to support clinical research, public health and medical education. Data Technologies and Applications 2024 View
  4. Gutiérrez-Sacristán A, Makwana S, Dionne A, Mahanta S, Dyer K, Serrano F, Watrin C, Pages P, Mousavi S, Degala A, Lyons J, Pillion D, Zachariasse J, Shekerdemian L, Truong D, Newburger J, Avillach P. Development and validation of an open-source pipeline for automatic population of case report forms from electronic health records: a pediatric multi-center prospective study. eBioMedicine 2024;108:105337 View
  5. Gavrilov A, Kaplun D, Garbaruk E, Boboshko M. Development of a graphical interface for medical data standardization for individuals with hearing disorders. Folia Otorhinolaryngologiae et Pathologiae Respiratoriae 2024;30(2):157 View