Evidence map›Paper›PMID 33450811›Full record

ArticleHealthcare (Basel, Switzerland)2021

Developing a Transnational Health Record Framework with Level-Specific Interoperability Guidelines Based on a Related Literature Review.

Ah Ra Lee, Il Kon Kim, Eunjoo Lee

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
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

3 authors.

Ah Ra LeeSchool of Computer Science & Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0003-1890-2443
Il Kon KimSchool of Computer Science & Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, Korea.
Eunjoo LeeCollege of Nursing, Research Institute of Nursing Science, Kyungpook National University, Daegu 41566, Korea.

Funding

Ministry of Health & Welfare, Republic of Korea HI19C0808National Research Foundation of Korea(NRF) NRF-2019R1I1A3A01058112, NRF-2019R1l1A3A01060579, NRF-2018R1A6A1A03025109
6 · The paper itself

Abstract

With the advent of digital healthcare without borders, enormous amounts of health information are captured and computerized. As healthcare quality largely depends on the reliability of given health information, personal health records should be accessible according to patients' mobility, even as they travel or migrate to other countries. However, since all the health information is scattered in multiple places, it is an onerous task to carry it whenever people move to other countries. To effectively and efficiently utilize health information, interoperability, which is the ability of various healthcare information technologies to exchange, to interpret, and to use data, is needed. Hence, building a robust transnational health information infrastructure with clear interoperability guidelines considering heterogeneous aspects is necessary. For this purpose, this study proposes a Transnational Health Record framework, which enables access to personal health records anywhere. We review related literature and define level-specific interoperability guidelines, business processes, and requirements for the Transnational Health Record system framework.

Indexed as

electronic health recordhealth information exchangehealth information systeminteroperabilitypersonal health recordtransnational health record

Identifiers

PMID33450811
PMCPMC7828296

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.