ArticleFrontiers in digital health2022
Which one? A suggested approach for evaluating digital health maturity models.
Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Exploring the Needs and Expectations of Inpatients Towards Assistive Technologies During Neuromotor Rehabilitation.Healthcare (Basel, Switzerland) · 2026Article
- The current state of electronic health records across Canada: an environmental scan and interoperability maturity assessment.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026Article
- Modeling the networking between hospitals and follow-up care providers during discharge management - Insights from eight structured interviews.Journal of family medicine and primary care · 2026Article
- The Maturity of Maturity Models in Health Care and Informatics.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- A framework for population health observatory from a global perspective: proposed preliminary maturity model and key performance indicators.Frontiers in public health · 2026Article
- Article
- Mapping digital transformation and social impact in Italian healthcare: a holistic evaluation of organizational digital maturity.BMC health services research · 2025Article
- Development and Validation of a Questionnaire to Measure Digital Maturity of General Practitioner Practices: Web-Based Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Associations between digital maturity in health and primary health care performance, 109 countries.Bulletin of the World Health Organization · 2025Article
- Assessing Digital Maturity of Hospitals: Viewpoint Comparing National Approaches in Five Countries.Journal of medical Internet research · 2025Article
- A measurement framework to assess software maturity models.PeerJ. Computer science · 2025Article
- Dimensions and Subcategories of Digital Maturity in General Practice: Qualitative Study.Journal of medical Internet research · 2024Article
- Strengthening rural healthcare outcomes through digital health: qualitative multi-site case study.BMC health services research · 2024Article
- Perceived Impact of Digital Health Maturity on Patient Experience, Population Health, Health Care Costs, and Provider Experience: Mixed Methods Case Study.Journal of medical Internet research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital health maturity models allow healthcare organizations to evaluate digital health capability and to develop roadmaps for improving patient care through technology. There are many models available commercially for healthcare providers to use to assess their digital health maturity. Currently, there are limited evidence-based methods to assess the quality, utility, and efficacy of maturity models to select the most appropriate model for the given context. Objective: To develop a framework to assess digital maturity models and facilitate recommendations for digital maturity model selection. Methods: A systematic, consultative, and iterative process was used. Literature analyses and a stakeholder needs analysis ( Results: The criteria of the framework include assessment of healthcare context, feasibility, integrity, completeness and actionability. Users can compare model performance in order to select the most appropriate model for their context. Conclusion: The framework provides healthcare stakeholders with a consistent and objective methodology to compare digital health maturity models, informing approaches to choosing a suitable model. This is a critical step as healthcare evolves towards a digital health system focused on improving the quality of care, reducing costs and improving the provider and consumer experience.
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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.