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

Advanced Data Analytics in eHealth (38) Data Science (105) Ontologies, Classifications, and Coding (158) Methods and Instruments in Medical Informatics (43) Quality Improvement (159) Secondary Use of Clinical Data for Research and Surveillance (248)

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 Jung 1 Author Orcid Image ;   Sooyoung Yoo 1 Author Orcid Image ;   Seok Kim 1 Author Orcid Image ;   Eunjeong Heo 1 Author Orcid Image ;   Borham Kim 1 Author Orcid Image ;   Ho-Young Lee 1 Author Orcid Image ;   Hee Hwang 2 Author Orcid Image
Article Authors Cited by 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 , KR

2 Kakao Healthcare Company-In-Company , Seongnam-si , KR

Corresponding Author:

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