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

Advanced Data Analytics in eHealth (133) Data Science (270) Ontologies, Classifications, and Coding (239) Methods and Instruments in Medical Informatics (126) Quality Improvement (253) Secondary Use of Clinical Data for Research and Surveillance (366)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35104, first published .
Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

Authors of this article:

Hyesil Jung1 Author Orcid Image ;   Sooyoung Yoo1 Author Orcid Image ;   Seok Kim1 Author Orcid Image ;   Eunjeong Heo1 Author Orcid Image ;   Borham Kim1 Author Orcid Image ;   Ho-Young Lee1 Author Orcid Image ;   Hee Hwang2 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

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  1. Park S, Bong J, Park I, Lee H, Choi J, Park P, Kim Y, Choi H, Kang S. ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records. Applied Sciences 2022;12(21):11250 View
  2. You S, Lee S, Choi B, Park R. Establishment of an International Evidence Sharing Network Through Common Data Model for Cardiovascular Research. Korean Circulation Journal 2022;52(12):853 View
  3. Park J, Lee J, Moon M, Park Y, Rho M. Cancer Research Line (CAREL): Development of Expanded Distributed Research Networks for Prostate Cancer and Lung Cancer. Technology in Cancer Research & Treatment 2023;22 View
  4. Jung H, Park H, Lee H. Impact of a Decision Support System on Fall-Prevention Nursing Practices. Journal of Patient Safety 2023;19(8):525 View
  5. Tago M, Hirata R, Katsuki N, Nakatani E, Tokushima M, Nishi T, Shimada H, Yaita S, Saito C, Amari K, Kurogi K, Oda Y, Shikino K, Ono M, Yoshimura M, Yamashita S, Tokushima Y, Aihara H, Fujiwara M, Yamashita S. Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study. Clinical Interventions in Aging 2024;Volume 19:175 View
  6. Henke E, Zoch M, Peng Y, Reinecke I, Sedlmayr M, Bathelt F. Conceptual design of a generic data harmonization process for OMOP common data model. BMC Medical Informatics and Decision Making 2024;24(1) View
  7. Sung S, Kim Y, Kim S, Jung H. Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study. Journal of Medical Internet Research 2024;26:e53343 View
  8. Luo M, Gu Y, Zhou F, Chen S. Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods. JMIR Medical Informatics 2024;12:e58498 View