Evidence map›Paper›PMID 39364196›Full record

ReviewHealth SA = SA Gesondheid2024

Electronic health records model to improve the quality of patients' healthcare.

Lovemore Motsi

Abstract readReview
In one paragraph

Review in Health SA = SA Gesondheid, 2024. 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

1 author.

Lovemore MotsiSchool of Computing, College of Science, Engineering and Technology, University of South Africa, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-2149-7429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic health records (EHR) has been acknowledged for bringing down healthcare costs and enhancing hospital service standards. Aim: The aim of this study was to develop an EHR model to lower patient treatment costs and enhance healthcare quality in South African public healthcare. Methods: In this study, a cross-sectional quantitative methodology was used. The research data for this study were provided by medical healthcare professionals, at Dr. George Mukhari Academic Hospital (DGMAH). This included doctors, nurses, pharmacists, radiologists, and radiographers who completed a semi-structured questionnaire. Results: The final model's findings show that the use of EHR significantly improves information quality (IQ) and positively influences medical errors reduction (MER). Knowledge quality (KQ) has a positive significant impact on MER, whereas IQ has a considerable negative impact on MER. Furthermore, cost reduction in patient treatment (CRPT) has a positive significant influence on MER. Conclusion: Patients obtain better medical care when medical professionals have access to complete and accurate information. Medical errors can be reduced or even prevented with the use of EHRs, which can lead to better patient outcomes. Contribution: The quality of patient care at South African public hospitals and in other developing countries can be enhanced by using this framework as a guide to reduce treatment costs.

Indexed as

doctorelectronic health recordsmedical healthcare professionalsnursespublic hospitals

Identifiers

PMID39364196
PMCPMC11447679

What OpenQuestion holds

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Registered trials

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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.