Evidence map›Paper›PMID 42842310›Full record

ArticleOnline journal of public health informatics2026

Data Access, User Engagement, and Interoperability Standards in Public Health Data Portals: Environmental Scan Study.

Yogita Chaudhary, Lathika R, Solomon Thirumurugan, Manikandan Kumaraguru, Sharan Murali, Rizwan Suliankatchi Abdulkader

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2026. 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

6 authors.

Yogita ChaudharyIntramural Research Team, ICMR National Institute of Epidemiology, Chennai, TN, India.ORCID http://orcid.org/0009-0000-8329-7361
Lathika RIntramural Research Team, ICMR National Institute of Epidemiology, Chennai, TN, India.ORCID http://orcid.org/0000-0002-5594-6587
Manikandan KumaraguruIntramural Research Team, ICMR National Institute of Epidemiology, Chennai, TN, India.ORCID http://orcid.org/0009-0003-5703-6354
Sharan MuraliICMR National Institute of Epidemiology, 2nd Main Rd, near Ambattur, Karmari Amman Nagar, TNHB Colony, Bhavani Nagar, Ayappakkam, Chennai, TN, India, 91 8903307313.ORCID http://orcid.org/0000-0001-9062-2994
Rizwan Suliankatchi AbdulkaderICMR National Institute of Epidemiology, 2nd Main Rd, near Ambattur, Karmari Amman Nagar, TNHB Colony, Bhavani Nagar, Ayappakkam, Chennai, TN, India, 91 8903307313.ORCID http://orcid.org/0000-0002-3140-2614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rapid digitalization has led to the generation of vast volumes of health data across diverse sources, including public health surveillance, electronic health records from hospitals, primary care facilities, and telemedicine. However, it often remains fragmented across multiple domains and systems due to siloed data collection practices and a lack of interoperability standards, limiting its potential to generate actionable public health insights. Objective: In this study, we examined publicly available health data portals and assessed their scope, user engagement features, and implementation of interoperability standards. Methods: We conducted an environmental scan to profile publicly available health data portals. We identified portals through systematic web searches, expert consultation using the Delphi technique, and snowball sampling from initial sources. We assessed each portal for the type of data hosted, the scope of user engagement, and the implementation of interoperability standards (Systematized Nomenclature of Medicine Clinical Terms [SNOMED CT]) or adopted Fast Healthcare Interoperability Resources (FHIR) as a data exchange standard. Results: We identified 17 data portals in total, of which 9 (53%) hosted global data and 1 (6%) hosted regional data. Portals hosted data across diverse domains including communicable diseases and noncommunicable diseases, maternal and child health, injuries, and others. Most portals supported basic user interactions such as data querying (n=15, 88%) and downloading (n=15, 88%), but none offered in-portal analytics. While 3 (18%) portals used Conclusions: Our study highlighted substantial fragmentation and a lack of interoperability across health data portals, which limits the ability to conduct integrated analysis and obtain comprehensive public health insights. Realizing the full potential of health data will require accessibility and interoperability, intelligent analytics, and seamless integration across domains.

Indexed as

digital healthhealth information exchangehealth information system interoperabilitySNOMED CTstandardsSystematized Nomenclature of Medicine Clinical Terms

Identifiers

PMID42842310
PMCPMC13644680

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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.