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

Reviews on Aging (44) Aging in Place (283) Geriatrics (24) Aging in Place (283) Assisted Living for the Elderly and Nursing Home Care (162) Health Services Research and Health Care Utilization in Older Patients (86) Electronic Health Records (1053) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Assisted Living for the Elderly and Nursing Home Care (162) Health Services Research and Health Care Utilization in Older Patients (86) Geriatrics (24) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Electronic Health Records (1053)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42437, first published .
Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

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

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 (1) Tweetations (3) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually