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

Quality Improvement (226) Clinical Informatics (919) Clinical Information and Decision Making (1340) Electronic Health Records (971) Decision Support for Health Professionals (1147) Nursing (87) Nursing in a Hospital Setting (96)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26456, first published .
Clinical Impact of an Analytic Tool for Predicting the Fall Risk in Inpatients: Controlled Interrupted Time Series

Clinical Impact of an Analytic Tool for Predicting the Fall Risk in Inpatients: Controlled Interrupted Time Series

Clinical Impact of an Analytic Tool for Predicting the Fall Risk in Inpatients: Controlled Interrupted Time Series

Authors of this article:

Insook Cho1, 2 Author Orcid Image ;   In sun Jin3 Author Orcid Image ;   Hyunchul Park4 Author Orcid Image ;   Patricia C Dykes2, 5 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Insook Cho   1, 2 , PhD ;   In sun Jin   3 , PhD ;   Hyunchul Park   4 , MBA ;   Patricia C Dykes   2, 5 , PhD

1 Nursing Department, College of Medicine, Inha University, Incheon, Republic of Korea

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

3 Department of Nursing, National Health Insurance Service Ilsan Hospital, Gyeonggi-do, Republic of Korea

4 Graduate School of Information & Telecommunications, Konkuk University, Seoul, Republic of Korea

5 Harvard Medical School, Boston, MA, United States

Corresponding Author:

  • Insook Cho, PhD
  • Nursing Department
  • College of Medicine
  • Inha University
  • 100 Inha-ro, namu-gu
  • Incheon, 22212
  • Republic of Korea
  • Phone: 82 01042323943
  • Fax: 82 32-874-8201
  • Email: insook.cho@inha.ac.kr