Evidence map›Paper›PMID 39284177›Full record

ArticleJMIR medical informatics2024

Standardizing Corneal Transplantation Records Using openEHR: Case Study.

Diana Ferreira, Cristiana Neto, Francini Hak, António Abelha, Manuel Santos, José Machado

Abstract read
In one paragraph

Article in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Diana FerreiraALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.ORCID 0000-0003-2326-2153
Cristiana Neto *ALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.ORCID 0000-0001-8736-7443
Francini Hak *ALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.ORCID 0000-0002-5172-045X
António Abelha *ALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.ORCID 0000-0001-6457-0756
Manuel Santos *ALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.ORCID 0000-0002-5441-3316
José Machado *ALGORITMI Research Center, Intelligent Systems Associate Laboratory (LASI), School of Engineering, University of Minho, Guimarães, Portugal.ORCID 0000-0003-4121-6169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCorneal transplantation, also known as keratoplasty, is a widely performed surgical procedure that aims to restore vision in patients with corneal damage. The success of corneal transplantation relies on the accurate and timely management of patient information, which can be enhanced using electronic health records (EHRs). However, conventional EHRs are often fragmented and lack standardization, leading to difficulties in information access and sharing, increased medical errors, and decreased patient safety. In the wake of these problems, there is a growing demand for standardized EHRs that can ensure the accuracy and consistency of patient data across health care organizations.

objectiveThis paper proposes the use of openEHR structures for standardizing corneal transplantation records. The main objective of this research was to improve the quality and interoperability of EHRs in corneal transplantation, making it easier for health care providers to capture, share, and analyze clinical information.

methodsA series of sequential steps were carried out in this study to implement standardized clinical records using openEHR specifications. These specifications furnish a methodical approach that ascertains the development of high-quality clinical records. In broad terms, the methodology followed encompasses the conduction of meetings with health care professionals and the modeling of archetypes, templates, forms, decision rules, and work plans.

resultsThis research resulted in a tailored solution that streamlines health care delivery and meets the needs of medical professionals involved in the corneal transplantation process while seamlessly aligning with contemporary clinical practices. The proposed solution culminated in the successful integration within a Portuguese hospital of 3 key components of openEHR specifications: forms, Decision Logic Modules, and Work Plans. A statistical analysis of data collected from May 1, 2022, to March 31, 2023, allowed for the perception of the use of the new technologies within the corneal transplantation workflow. Despite the completion rate being only 63.9% (530/830), which can be explained by external factors such as patient health and availability of donor organs, there was an overall improvement in terms of task control and follow-up of the patients' clinical process.

conclusionsThis study shows that the adoption of openEHR structures represents a significant step forward in the standardization and optimization of corneal transplantation records. It offers a detailed demonstration of how to implement openEHR specifications and highlights the different advantages of standardizing EHRs in the field of corneal transplantation. Furthermore, it serves as a valuable reference for researchers and practitioners who are interested in advancing and improving the exploitation of EHRs in health care.

Indexed as

Corneal TransplantationElectronic Health RecordsHumansarchetypescorneal transplantationdata exchangedata representationEHRelectronic health recordformskeratoplastyopenEHRstandardizationtemplates

Identifiers

PMID39284177
PMCPMC11443176

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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.