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

Corrigenda and Addenda (3)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54952, first published .
Correction: Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Correction: Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Correction: Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Authors of this article:

Eunkyung Han1, 2 Author Orcid Image ;   Hadi Kharrazi3, 4 Author Orcid Image ;   Leiyu Shi3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Eunkyung Han   1, 2 , MPH, MD (DKM), DrPH ;   Hadi Kharrazi   3, 4 , MD, PhD ;   Leiyu Shi   3 , MBA, MPA, DrPH

1 Ho-Young Institute of Community Health, Paju, Republic of Korea

2 Asia Pacific Center For Hospital Management and Leadership Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

3 Department of Health Policy and Management, Johns Hopkins School of Public Health, Baltimore, MD, United States

4 Division of Biomedical Informatics and Data Science, Johns Hopkins School of Medicine, Baltimore, MD, United States

Corresponding Author:

  • Eunkyung Han, MPH, MD (DKM), DrPH
  • Ho-Young Institute of Community Health
  • 240-45 Yadang
  • Paju, 10909
  • Republic of Korea
  • Phone: 82 1093550850
  • Email: hyich.kor@gmail.com