Evidence map›Paper›PMID 40451262›Full record

ArticleBMJ health & care informatics2025

Necessity, accessibility and acquisition cost of unstructured medical data for South Korean medical device companies.

Myung-Gwan Kim, InHo Lee, HyunWook Han, HyeongWon Yu

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2025. 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

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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.

Myung-Gwan KimInstitute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Korea (the Republic of).ORCID http://orcid.org/0000-0002-6649-4715
InHo LeeSeoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (the Republic of).
HyunWook HanInstitute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Korea (the Republic of) hyeongwonyu@gmail.com stepano7@gmail.com.
HyeongWon YuAssociate Professor of Endocrine Surgery, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (the Republic of) hyeongwonyu@gmail.com stepano7@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis research aimed to identify the needs and priorities concerning structured and unstructured medical data of medical device companies engaged in developing medical software or hardware.

methodThe study was conducted between 23 March and 26 March 2023 and involved a survey of 76 managers, each of whom represented a single Korean medical device company.

resultCompanies focused on novel medical devices and software expressed higher demand for unstructured data than for structured data. However, the accessibility of unstructured data was hampered by high acquisition costs, and both structured and unstructured data suffered from limited openness and high pricing, hindering the progress of digital healthcare technology. To promote the development of innovative medical devices and software with increased value, these challenges must be addressed promptly. DISCUSSION: A crucial solution involves establishing a secure medical data trade platform that ensures the exchange of reliable and accurate medical information while adhering to legal regulations. By facilitating the circulation of high-quality medical data at appropriate prices through an invigorated medical data trade ecosystem, numerous medical device development companies with innovative ideas will have the opportunity to challenge the industry, consequently lowering the entry barriers to development.

conclusionThis holds the potential to revolutionise the medical device industry by enabling safe, efficient and equitable access to medical data, fostering groundbreaking advancements in healthcare technology.

Indexed as

Equipment and SuppliesMedical RecordsData AggregationData AnalysisData CollectionHumansMedical InformaticsRepublic of KoreaSoftwareData ManagementData ScienceData SystemsElectronic Data ProcessingMedical Informatics

Identifiers

PMID40451262
PMCPMC12142156

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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.