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

JMIR Theme Issue: COVID-19 Special Issue (2394) Clinical Informatics (918) Clinical Information and Decision Making (1339) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (543) Machine Learning (1400) Artificial Intelligence (1214) Nursing Records (13) Infectious Diseases (non-STD/STI) (1490) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53343, first published .
Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Authors of this article:

Sumi Sung1 Author Orcid Image ;   Youlim Kim2 Author Orcid Image ;   Su Hwan Kim3 Author Orcid Image ;   Hyesil Jung4 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Sumi Sung   1 , PhD ;   Youlim Kim   2 , MPH ;   Su Hwan Kim   3 , PhD ;   Hyesil Jung   4 , PhD

1 Department of Nursing Science, Research Institute of Nursing Science, Chungbuk National University, Cheongju, Chungcheongbuk-do, Republic of Korea

2 Department of Radiation Oncology, College of Medicine, Seoul National University, Seoul, Republic of Korea

3 Department of Information Statistics, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea

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

Corresponding Author:

  • Hyesil Jung, PhD
  • Department of Nursing
  • College of Medicine
  • Inha University
  • 100 Inha-ro, Michuhol-gu
  • Incheon, 22212
  • Republic of Korea
  • Phone: 82 32-860-8206
  • Fax: 82 32-874-5880
  • Email: hsjung@inha.ac.kr