Evidence map›Paper›PMID 41437039›Full record

ArticleBMC medical informatics and decision making2025

Does the integrated electronic medical record system have a positive adoption in community hospital settings?

Diwash Timilsina, Shiva Raj Acharya, Jeevan Bhatta, Mandeep Pathak

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2025. 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

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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

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.

Diwash TimilsinaDepartment of Health Informatics, Swansea University, Sketty, Swansea, UK.
Shiva Raj AcharyaYonsei University College of Medicine, 20 Ilsan-ro, Wonju, 26426, Republic of Korea. sameeracharya39@gmail.com.
Jeevan BhattaASEAN Institute for Health Development, Mahidol University, Salaya, Thailand.
Mandeep PathakNyaya Health Nepal, Achham, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn developing nations, there is limited research evidence and an information gap in the adoption of Integrated Electronic Medical Record System (EMRs). This study aimed to evaluate the adoption of recently integrated EMRs in community hospitals in Nepal.

methodsTwo community hospitals with integrated EMRs were purposively selected. Both hospitals used the Bahmni EMRs, an open-source platform designed for low-resource settings that integrates clinical, laboratory, pharmacy, and administrative functions. Among the total of 165 EMRs users, 121 successfully participated in this quantitative study from September 05 to October 23, 2022. The study utilized the technology acceptance model to assess the attitudes towards the adoption of integrated EMRs, based on EMRs usage duration, system capability, learning acceptability, and users’ behavioral intentions.

resultsThe mean scores for attitudes toward EMRs, EMRs learning acceptability and users’ behavioral intention to use EMRs were 46.55 ± 7.9, 33.41 ± 5.9, and 36.61 ± 5.7, respectively. Participants with postgraduate education (vs. undergraduate and high school) and those working in the laboratory and administration departments (vs. OPD, pharmacy and IPD) had higher mean scores for attitude and learning acceptability (P < 0.01). Increased duration of EMRs use, (B, 0.81, CI: 0.61–1.15, P < 0.001), increased EMRs system capability (B, 0.43; CI: 0.21–0.73, P = 0.001), increased EMRs learning acceptability (B, 0.71; CI: 0.50–0.94, P < 0.001), and increased EMRs users’ behavioral intentions (B, 0.51; CI: 0.35–0.67, P < 0.001) significantly increased the attitudes toward the use of EMRs.

conclusionThe adoption of integrated EMRs was positive. Integrated EMRs could improve the quality and efficiency of healthcare services with low-cost resources. Therefore, central and local healthcare systems must prioritize the expansion of integrated EMRs across multiple community hospitals and healthcare centers. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Attitude of Health PersonnelAttitude to ComputersElectronic Health RecordsHospitals, CommunityAdultFemaleHumansMaleAdoptionCommunity hospitalIntegrated electronic medical record system

Identifiers

PMID41437039
PMCPMC12729551

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.