Evidence map›Paper›PMID 38241077›Full record

ArticleJMIR medical informatics2024

A Nationwide Chronic Disease Management Solution via Clinical Decision Support Services: Software Development and Real-Life Implementation Report.

Mustafa Mahir Ulgu, Gokce Banu Laleci Erturkmen, Mustafa Yuksel, Tuncay Namli, Şenan Postacı, Mert Gencturk, Yildiray Kabak, A Anil Sinaci, Suat Gonul, Asuman Dogac and 4 more

Abstract read
In one paragraph

Article in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Reintegrating the Human in Health: A Triadic Blueprint for Whole-Person Care in the Age of AI.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. 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

14 authors.

Mustafa Mahir UlguMinistry of Health Turkey, Ankara, Turkey.ORCID https://orcid.org/0000-0003-0825-1851
Gokce Banu Laleci ErturkmenSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0002-6201-3849
Mustafa YukselSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0003-4844-392X
Tuncay NamliSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0003-1157-8994
Şenan PostacıSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8835-242X
Mert GencturkSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0003-2697-5722
Yildiray KabakSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0001-7657-8886
A Anil SinaciSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0003-4397-3382
Suat GonulSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0000-0002-7352-8848
Asuman DogacSoftware Research Development and Consultancy Corporation, Ankara, Turkey.ORCID https://orcid.org/0009-0008-1076-3112
Zübeyde Özkan AltunayMinistry of Health Turkey, Ankara, Turkey.ORCID https://orcid.org/0000-0002-1179-2141
Banu EkinciMinistry of Health Turkey, Ankara, Turkey.ORCID https://orcid.org/0000-0002-0592-3950
Sahin AydinMinistry of Health Turkey, Ankara, Turkey.ORCID https://orcid.org/0000-0002-3970-5791
Suayip BirinciMinistry of Health Turkey, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8104-6198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing population of older adults has led to a rise in the demand for health care services, with chronic diseases being a major burden. Person-centered integrated care is required to address these challenges; hence, the Turkish Ministry of Health has initiated strategies to implement an integrated health care model for chronic disease management. We aim to present the design, development, nationwide implementation, and initial performance results of the national Disease Management Platform (DMP).

objectiveThis paper's objective is to present the design decisions taken and technical solutions provided to ensure successful nationwide implementation by addressing several challenges, including interoperability with existing IT systems, integration with clinical workflow, enabling transition of care, ease of use by health care professionals, scalability, high performance, and adaptability.

methodsThe DMP is implemented as an integrated care solution that heavily uses clinical decision support services to coordinate effective screening and management of chronic diseases in adherence to evidence-based clinical guidelines and, hence, to increase the quality of health care delivery. The DMP is designed and implemented to be easily integrated with the existing regional and national health IT systems via conformance to international health IT standards, such as Health Level Seven Fast Healthcare Interoperability Resources. A repeatable cocreation strategy has been used to design and develop new disease modules to ensure extensibility while ensuring ease of use and seamless integration into the regular clinical workflow during patient encounters. The DMP is horizontally scalable in case of high load to ensure high performance.

resultsAs of September 2023, the DMP has been used by 25,568 health professionals to perform 73,715,269 encounters for 16,058,904 unique citizens. It has been used to screen and monitor chronic diseases such as obesity, cardiovascular risk, diabetes, and hypertension, resulting in the diagnosis of 3,545,573 patients with obesity, 534,423 patients with high cardiovascular risk, 490,346 patients with diabetes, and 144,768 patients with hypertension.

conclusionsIt has been demonstrated that the platform can scale horizontally and efficiently provides services to thousands of family medicine practitioners without performance problems. The system seamlessly interoperates with existing health IT solutions and runs as a part of the clinical workflow of physicians at the point of care. By automatically accessing and processing patient data from various sources to provide personalized care plan guidance, it maximizes the effect of evidence-based decision support services by seamless integration with point-of-care electronic health record systems. As the system is built on international code systems and standards, adaptation and deployment to additional regional and national settings become easily possible. The nationwide DMP as an integrated care solution has been operational since January 2020, coordinating effective screening and management of chronic diseases in adherence to evidence-based clinical guidelines.

Indexed as

chronic diseasechronic disease managementclinical decisionclinical decision support servicesdecision supportdiagnosisdisease managementevidence-based medicineimplementationintegrated careinteroperabilitymanagementmedicinephysician-centeredrisk assessmentsupporttracking

Identifiers

PMID38241077
PMCPMC10837759

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.