Improvement of the Japanese healthcare data system for the effective management of patients with COVID-19: A national survey.

Coronavirus Data leakage Health information exchange Network infrastructure Public health informatics

Journal

International journal of medical informatics
ISSN: 1872-8243
Titre abrégé: Int J Med Inform
Pays: Ireland
ID NLM: 9711057

Informations de publication

Date de publication:
24 Mar 2022
Historique:
received: 24 11 2021
revised: 11 03 2022
accepted: 21 03 2022
pubmed: 8 4 2022
medline: 8 4 2022
entrez: 7 4 2022
Statut: aheadofprint

Résumé

The burden of data entry in public platforms used for reporting patients with novel coronavirus disease 2019 (COVID-19) is a challenge in the healthcare setting. The key to mitigating the burden of data entry is system integration and elimination of double data entry. In addition, the linkage between public platforms and electronic medical records (EMRs) involves external networks, which are an important target for security management. The purpose of this study was to elucidate the status and challenges of infrastructure for continuous data reporting from hospitals in Japan. An online survey of Japanese care delivery institutions was conducted from January 25 to February 22, 2021, to obtain data on the admission of patients with COVID-19, use of information infrastructures, and status of network connections with external organizations. The survey request was distributed to each care delivery institution by Japanese health authorities. Of the care delivery institutions that responded to the survey, 53.9% treated patients with COVID-19. Of these institutions, 73.3% used EMRs. 57.8% of the EMRs were connected to an external network. The purpose of connecting to the external network was to contribute to regional health information-sharing with other hospitals (22.0%), report online medical insurance claims (27.5%), and conduct intrahospital system maintenance (61.5%). A frequent concern about connecting an EMR to an external network was data leakage. In cases where the frequency of reporting patients with COVID-19 is high, health authorities should provide information regarding anti-data-leakage measures and coordinate frameworks for efficient, sustainable data collection. We obtained information on existing infrastructures for patient data sharing among care delivery institutions and public health authorities. Our findings may be referenced by the government to make informed decisions about investments.

Identifiants

pubmed: 35390591
pii: S1386-5056(22)00066-1
doi: 10.1016/j.ijmedinf.2022.104752
pmc: PMC8944184
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104752

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

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Auteurs

Kohei Takeshita (K)

Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan. Electronic address: k.takeshita@jikei.ac.jp.

Hiroyuki Takao (H)

Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan; Department of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan. Electronic address: takao@jikei.ac.jp.

Seiya Imoto (S)

Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan. Electronic address: imoto@ims.u-tokyo.ac.jp.

Yuichi Murayama (Y)

Division of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan; Department of Neurosurgery, The Jikei University School of Medicine, Tokyo, Japan. Electronic address: ymurayama@jikei.ac.jp.

Classifications MeSH