ReviewJournal of medical Internet research2022
Digital Twins for Managing Health Care Systems: Rapid Literature Review.
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.
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.
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.
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)
Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges.Journal of medical Internet research · 2025Pooled it
- Biophotonics point-of-care diagnostics in low-resource settings: a South African perspective.Journal of biomedical optics · 2026Review
- Harnessing digital twins for public health surveillance and pandemic preparedness.BMC proceedings · 2026Article
- A Lean-based Digital Twin model for planning and governance in secondary and tertiary hospital networks.BMC health services research · 2026Article
- Healthcare Digital Twins Across Scales: A Narrative Review and Five-Level Conceptual Framework.Healthcare (Basel, Switzerland) · 2026Review
- Fixing Work, Not Workers: Leveraging Artificial Intelligence to Combat Burnout in Canadian Healthcare.Healthcare management forum · 2026Article
- Digital twins in pulmonary medicine: a scoping review of applications, benefits, and challenges.BMC pulmonary medicine · 2026Article
- Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking.Journal of participatory medicine · 2026Article
- Optimized explainable AI and digital twin for patient flow improvement in ICU during respiratory epidemics.BMC medical informatics and decision making · 2026Article
- Next-generation digital twin model with unobtrusive RF multi-sensing for AI-based human monitoring.Scientific reports · 2026Article
- Digital Twin Technology In Radiology.Journal of imaging informatics in medicine · 2026Review
- Digital Twins for Just-in-Time Adaptive Interventions (JITAIs): Framework for Optimizing and Continually Improving JITAIs.Journal of medical Internet research · 2026Article
- Exploring Professionals' Perceptions of the Potential of Digital Twins in Homecare-A Focus Group Study in Sweden.Healthcare (Basel, Switzerland) · 2026Article
- Application of Digital Twin Technology to Enhance Chronic Diseases Management: A Systematic Review.International journal of telemedicine and applications · 2026Review
- An intelligent digital twin framework with AI-driven optimization for patient flow and clinical scheduling in smart healthcare systems.Frontiers in digital health · 2026Article
- Digital twin virtual hospitals and rural health disparities: a six-country comparative study (2018-2024).Frontiers in public health · 2026Article
- Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness.NPJ digital medicine · 2025Review
- Digital twin manifesto for the pathology laboratory.Diagnostic pathology · 2025Article
- Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study.Journal of medical Internet research · 2025Article
- Could digital twins be the next revolution in healthcare?European journal of public health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
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.