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

Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1186) Electronic Health Records (1053) Falls Prevention in the Elderly (69)

Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11505, first published .
Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data

Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data

Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data

Authors of this article:

Insook Cho1 Author Orcid Image ;   Eun-Hee Boo2 Author Orcid Image ;   Eunja Chung3 Author Orcid Image ;   David W. Bates4 Author Orcid Image ;   Patricia Dykes4 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

Insook Cho   1 , PhD ;   Eun-Hee Boo   2 , PhD ;   Eunja Chung   3 , MS ;   David W. Bates   4 , PhD ;   Patricia Dykes   4 , PhD

1 Inha University, Incheon, Republic of Korea

2 National Health Insurance Service Ilsan Hospital, Gyeonggi-do, Republic of Korea

3 Bundang Seoul National University Hospital, Gyeonggi-do, Republic of Korea

4 The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, United States

Corresponding Author:

  • Insook Cho, PhD
  • Inha University
  • Nursing Department (5E 301)
  • Inharo 100, Nam-gu
  • Incheon, 22212
  • Republic of Korea
  • Phone: 82 328608201
  • Fax: 82 328745880
  • Email: insook.cho@inha.ac.kr