Evidence mapPaperPMID 41503546Full record

ReviewHealth science reports2026

Towards an Integrated Framework for Health Surveillance Systems: A Systematic Literature Review of Design Components and Implementation Challenges.

Maryam Mollabagher, Alireza Hassanzadeh, Mohammad Mahdi Sepehri, Abbas Habibelahi, Abolghasem Sarabadani

Abstract readReview
In one paragraph

Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Maryam MollabagherDepartment of Information Technology Management, Faculty of Management and Economics Tarbiat Modares University Tehran Iran.ORCID https://orcid.org/0000-0002-9981-130X
Alireza HassanzadehDepartment of Information Technology Management, Faculty of Management and Economics Tarbiat Modares University Tehran Iran.ORCID https://orcid.org/0000-0003-3015-3019
Mohammad Mahdi SepehriDepartment of Health Systems Engineering, Faculty of Industrial and Systems Engineering Tarbiat Modares University Tehran Iran.ORCID https://orcid.org/0000-0002-9920-7452
Abbas HabibelahiTehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-5131-5198
Abolghasem SarabadaniDepartment of Information Technology Management, Faculty of Management and Economics Tarbiat Modares University Tehran Iran.ORCID https://orcid.org/0000-0002-5915-6363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Health surveillance systems play a critical role in early detection, timely response, and evidence-based policymaking. Despite significant technological progress, challenges such as data fragmentation, limited interoperability, and inconsistent governance continue to undermine system effectiveness. This study aims to advance the understanding of surveillance design by developing an integrated framework that consolidates technical, organizational, and ethical dimensions. Methods: A systematic literature review (SLR) was conducted following PRISMA 2020 guidelines, covering studies indexed in Scopus and Web of Science up to April 2025. From 191 initially retrieved records, 36 studies met the inclusion criteria and were thematically analyzed. Results: Through thematic analysis, ten key design components were identified. These findings offer actionable insights for policymakers, healthcare administrators, and system developers. Based on these findings, an integrated, evidence-based framework is proposed to support effective system implementation. These key components are: leadership and management, stakeholder engagement, education and awareness, workforce competence, finance and insurance, data privacy and security, patient comfort, risk assessment, infrastructure readiness, and cultural/ethical considerations. Conclusion: The synthesis revealed recurring implementation challenges, including fragmented data systems, inadequate stakeholder participation, and limited financial or technical capacity. Based on the findings, this study proposes an evidence-based integrated framework to guide the design and implementation of adaptive, efficient, and ethically grounded surveillance systems. The proposed framework provides actionable insights for policymakers, healthcare administrators, and digital health architects seeking to strengthen surveillance infrastructures across diverse health settings and promote sustainable, data-driven decision-making.

Indexed as

artificial intelligencedigital healthmedical informaticspublic health surveillancesurveillance systemssystematic literature review (SLR)

Identifiers

PMID41503546
PMCPMC12772436

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.