Evidence map›Paper›PMID 40262140›Full record

ArticleJournal of medical Internet research2025

The Benefits of Integrating Electronic Medical Record Systems Between Primary and Specialist Care Institutions: Mixed Methods Cohort Study.

Kim Huat Goh, Adrian Yong Kwang Yeow, Le Wang, Hermione Poh, Hannah Jia Hui Ng, Gamaliel Tan, Soon Khai Wee, Er Luen Lim, Jared Louis Andre D'Souza

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Kim Huat GohNanyang Technological University, Singapore, Singapore.ORCID 0000-0001-7327-0106
Adrian Yong Kwang YeowSingapore University of Social Sciences, Singapore, Singapore.ORCID 0000-0003-1355-8540
Le WangCity University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-0375-3177
Hermione PohNational University Health System, Singapore, Singapore.ORCID 0000-0003-1721-0840
Hannah Jia Hui NgOrtho Spineworks, Singapore, Singapore.ORCID 0000-0002-2267-647X
Gamaliel TanOrtho Spineworks, Singapore, Singapore.ORCID 0000-0003-2384-2350
Soon Khai WeeNational University Polyclinics, Singapore, Singapore.ORCID 0009-0003-9725-0953
Er Luen LimNational University Hospital, Singapore, Singapore.ORCID 0000-0002-8013-5567
Jared Louis Andre D'SouzaOrtho Spineworks, Singapore, Singapore.ORCID 0000-0002-2415-7390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe benefits of a fully integrated electronic medical record (EMR) system across primary and specialist care institutions have yet to be formally established. Integrating the EMR systems between primary and specialist care is the first step in building a medical neighborhood. A medical neighborhood is a set of policies and procedures implemented through integrated systems and processes that support the joint management of patient care across primary care physicians, specialist physicians, and other health care providers.

objectiveThis study aims to quantify the impacts of integrating the EMR systems of primary and specialist care institutions in the process of developing a medical neighborhood. The impacts are operationalized in both quantitative and qualitative measures, measuring the benefits of such an integration in 3 specific areas, namely, patient diagnosis tracking, patient care management, and patient coordination.

methodsA comprehensive, mixed methods examination was conducted using 3 different data sources (EMR consultation data, clinician survey data, and in-depth interviews). The EMR data consist of patient encounters referred to a specialist clinic from 6 primary care providers before and after integrating the EMR system into the primary and specialist care institutions. We analyzed 25,404 specialist consultation referrals to the specialist clinics by the primary care partners for a 12-month period, during which the integration of the EMR system was conducted. A cohort empirical investigation was used to identify the quantitative impacts of the EMR integration, and a follow-up survey was conducted with the clinicians 18 months post integration. The clinicians' perceptions of the integration were measured to triangulate the empirical observation from the patient encounters, and the postimplementation perception survey was analyzed to triangulate the empirical investigation of consultation instances of the earlier cohort. Concurrently, a total of 30 interviews were conducted between March 16, 2021, and July 28, 2021, with clinicians and operations staff to gather on-the-ground sentiments engendered by this integration, which further informed our quantitative findings.

resultsThe integration of EMR systems between primary and specialist care institutions was associated with benefits in patient diagnosis tracking, patient care management, and patient coordination. Specifically, it was found that the integration resulted in a decrease in wait time for specialist appointments of an average of 16.5 days (P<.001). Patients were also subjected to fewer repeated procedures and tests; the number of procedures (P=.006), radiographies (P=.02), and overall bill sizes (P=.004) all decreased by between 4.08% and 39.7%, resulting in reduced health care resource wastage while maintaining similar medical outcomes (P=.37).

conclusionsOur study's results are among the first instances of empirical evidence to show that the integration and sharing of data between primary and specialist care institutions promote continuity in health care delivery and joint patient management in a medical neighborhood. The findings go beyond the traditional benefits of improved referral communication, as shown in prior literature.

Indexed as

Electronic Health RecordsPrimary Health CareSpecializationCohort StudiesFemaleHumansMaleMiddle AgedReferral and ConsultationefficiencyEMR integrationmedical neighborhoodprimary carespecialist care

Identifiers

PMID40262140
PMCPMC12056414

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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.