Evidence map›Paper›PMID 32072322›Full record

ArticleJournal of medical systems2020

The Development of Medical Markup Language Version 4 as a Clinical Document Exchange Format for Nationwide EHR Systems.

Shinji Kobayashi, Naoto Kume, Kenji Araki, Hiroyuki Yoshihara

Abstract read
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In one paragraph

Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shinji KobayashiDepartment of Electronic Health Record, Graduate School of Medicine, Kyoto University, 15, Shimogamo-Morimoto-cho, Sakyoku, Kyoto, 600-8815, Japan. kobayashi.shinji.5s@kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-5783-2631
Naoto KumeDepartment of Electronic Health Record, Graduate School of Medicine, Kyoto University, 15, Shimogamo-Morimoto-cho, Sakyoku, Kyoto, 600-8815, Japan.
Kenji ArakiThe Institutional Research Department for Hospital Management, University of Miyazaki, Miyazaki, Japan.
Hiroyuki YoshiharaDepartment of Electronic Health Record, Graduate School of Medicine, Kyoto University, 15, Shimogamo-Morimoto-cho, Sakyoku, Kyoto, 600-8815, Japan.

Funding

Japan Society for the Promotion of Science 16K12523
6 · The paper itself

Abstract

Medical Markup Language (MML) is a standard format for exchange of healthcare data among healthcare providers. Following the last major update (version 3), we developed new modules and discussed the requirements for the next major updates. Subsequently, in 2016 we released MML version 4 and used it to obtain clinical data from healthcare providers for a nationwide electronic health records (EHR) system. In this article we provide an overview of this major update of MML version 4 and discuss its interoperability for clinical data.

Indexed as

Programming LanguagesHumansMedical Record LinkageMedical Records Systems, ComputerizedElectronic health recordsMMLStandardizationXML

Identifiers

PMID32072322

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.