Evidence map›Paper›PMID 35972776›Full record

ReviewJournal of medical Internet research2022

Digital Twins for Managing Health Care Systems: Rapid Literature Review.

Safa Elkefi, Onur Asan

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06714097 (Application of Digital Twins' Technology in Patients Who Had a Stroke, With Moyamoya Disease and With Cerebral Amyloid Angiopathy), which is not on this map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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.

NCT06714097 narecruitingnot on this mapstarted 2026, after this paper: background citation

Application of Digital Twins' Technology in Patients Who Had a Stroke, With Moyamoya Disease and With Cerebral Amyloid Angiopathy (CAA) During the Secondary Prevention Phase: A Proof of Concept Using a Randomized Control Trial (Clinical Study 6, STRATIF-AI Project)

TypeinterventionalSponsorFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaRan2026 to 2027Enrolled20ConditionsStroke, Moyamoya Disease, Cerebral Amyloid AngiopathyArmsAI, healthy dialogue
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Review
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  11. Digital Twin Technology In Radiology.Journal of imaging informatics in medicine · 2026
    Review
  12. Article
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  14. Review
  15. Article
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  17. Review
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  19. Article
  20. Could digital twins be the next revolution in healthcare?European journal of public health · 2025
    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

2 authors.

Safa ElkefiSchool of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, United States.ORCID 0000-0002-4293-0404
Onur AsanSchool of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, United States.ORCID 0000-0002-9239-3723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough most digital twin (DT) applications for health care have emerged in precision medicine, DTs can potentially support the overall health care process. DTs (twinned systems, processes, and products) can be used to optimize flows, improve performance, improve health outcomes, and improve the experiences of patients, doctors, and other stakeholders with minimal risk.

objectiveThis paper aims to review applications of DT systems, products, and processes as well as analyze the potential of these applications for improving health care management and the challenges associated with this emerging technology.

methodsWe performed a rapid review of the literature and reported available studies on DTs and their applications in health care management. We searched 5 databases for studies published between January 2002 and January 2022 and included peer-reviewed studies written in English. We excluded studies reporting DT usage to support health care practice (organ transplant, precision medicine, etc). Studies were analyzed based on their contribution toward DT technology to improve user experience in health care from human factors and systems engineering perspectives, accounting for the type of impact (product, process, or performance/system level). Challenges related to the adoption of DTs were also summarized.

resultsThe DT-related studies aimed at managing health care systems have been growing over time from 0 studies in 2002 to 17 in 2022, with 7 published in 2021 (N=17 studies). The findings reported on applications categorized by DT type (system: n=8; process: n=5; product: n=4) and their contributions or functions. We identified 4 main functions of DTs in health care management including safety management (n=3), information management (n=2), health management and well-being promotion (n=3), and operational control (n=9). DTs used in health care systems management have the potential to avoid unintended or unexpected harm to people during the provision of health care processes. They also can help identify crisis-related threats to a system and control the impacts. In addition, DTs ensure privacy, security, and real-time information access to all stakeholders. Furthermore, they are beneficial in empowering self-care abilities by enabling health management practices and providing high system efficiency levels by ensuring that health care facilities run smoothly and offer high-quality care to every patient.

conclusionsThe use of DTs for health care systems management is an emerging topic. This can be seen in the limited literature supporting this technology. However, DTs are increasingly being used to ensure patient safety and well-being in an organized system. Thus, further studies aiming to address the challenges of health care systems challenges and improve their performance should investigate the potential of DT technology. In addition, such technologies should embed human factors and ergonomics principles to ensure better design and more successful impact on patient and doctor experiences.

Indexed as

Delivery of Health CareSelf CareHumansPrivacyTechnologydigital healthdigital twinshealth carehealth informaticshuman factorsinformation managementliterature synthesisoperational controlsafetyscheduling and optimizationsupply chain managementtechnologywell-being promotion

Identifiers

PMID35972776
PMCPMC9428772

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.