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

Advanced Data Analytics in eHealth (203) Data Science (354) Ontologies, Classifications, and Coding (318) Methods and Instruments in Medical Informatics (185) Quality Improvement (290) Secondary Use of Clinical Data for Research and Surveillance (466)

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 (11) Tweetations (2) Metrics

Hyesil Jung   1 , PhD ;   Sooyoung Yoo   1 , PhD ;   Seok Kim   1 , MPH ;   Eunjeong Heo   1 , BSc ;   Borham Kim   1 , BSN ;   Ho-Young Lee   1 , PhD ;   Hee Hwang   2 , PhD

1 Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea

2 Kakao Healthcare Company-In-Company, Seongnam-si, Republic of Korea

Corresponding Author:

  • Sooyoung Yoo, PhD
  • Office of eHealth Research and Business
  • Seoul National University Bundang Hospital
  • 172 Dolma-ro, Bundang-gu
  • Seongnam-si 13620
  • Republic of Korea
  • Phone: 82 31-787-8980
  • Email: yoosoo0@snubh.org