Evidence map›Paper›PMID 35390591›Full record

ArticleInternational journal of medical informatics2022

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

Kohei Takeshita, Hiroyuki Takao, Seiya Imoto, Yuichi Murayama

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Validation of a specialized evaluation system for COVID-19 in Japan: A retrospective, multicenter cohort study.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Kohei TakeshitaDivision of Innovation for Medical Information Technology, The Jikei University School of Medicine, Tokyo, Japan. Electronic address: k.takeshita@jikei.ac.jp.
Hiroyuki TakaoDivision 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 ImotoDivision 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 MurayamaDivision 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.
Jikei University School of Medicine · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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. MATERIALS AND

methodsAn 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.

resultsOf 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. DISCUSSION: 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.

conclusionsWe 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.

Indexed as

CoronavirusData leakageHealth information exchangeNetwork infrastructurePublic health informatics

Identifiers

PMID35390591
PMCPMC8944184
OpenAlexW4221087580

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.