ReviewNPJ digital medicine2022
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation.
Review in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 7 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
126 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Barriers and Facilitators to Implementing Digital Health Technologies for Remote Management of NCDs in Rural Areas: Mixed Methods Systematic Review.Journal of medical Internet research · 2026Pooled it
- AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals.JMIR medical education · 2025Pooled it
- Patient Engagement with Conversational Agents in Health Applications 2016-2022: A Systematic Review and Meta-Analysis.Journal of medical systems · 2024Pooled it
- Implementation costs of hospital-based computerised decision support systems: a systematic review.Implementation science : IS · 2023Pooled it
- Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.Journal of medical Internet research · 2023Pooled it
- Systematic review of externally validated machine learning models for predicting acute kidney injury in general hospital patients.Frontiers in nephrology · 2023Pooled it
- Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature.BMC health services research · 2022Pooled it
- Awareness, Preferences, and Willingness to Download Pregnancy Health Management Apps Among Women in Louisiana: Cross-Sectional Survey.JMIR formative research · 2026Article
- An Evaluation of Clinician and Informatician Perspectives on Medication Harm Risk Prediction Tools for Use in a Tertiary Hospital Setting.Journal of evaluation in clinical practice · 2026Article
- Health System- and Payer-Level Decision-Making Processes Influencing the Adoption and Sustainability of Patient-Facing Digital Health Tools: Qualitative Study.Journal of medical Internet research · 2026Article
- National scale up of PROM based monitoring after joint replacement in Germany.npj health systems · 2026Article
- A Community-Level Digital Health Readiness Index for the US.JAMA network open · 2026Article
- Using normalization process theory to evaluate the implementation of a hybrid psychosocial prevention intervention in mental health care - a qualitative interview study.BMC health services research · 2026Article
- Organizational Tensions in the Implementation of Modifiable Off-the-Shelf Technologies in a University Hospital: Qualitative Multimethod Study.JMIR human factors · 2026Article
- Digital Episodic Future Thinking Intervention (Luminaut): Co-Design and Iterative Development Study.JMIR human factors · 2026Article
- Institutional Governance for Sustainable Utilisation of Healthcare IoT Technologies: Moving Beyond Technology Acceptance to Conditions of Use.Healthcare (Basel, Switzerland) · 2026Article
- YouTube as a Source of Patient Information for Malignant and Benign Primary Bone Tumors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- From global guidelines for cardio-kidney-metabolic diseases management to national implementation: perspectives from the guideline workshop taskforce.Cardiovascular diabetology · 2026Article
- Article
- Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework.Journal of medical Internet research · 2026Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
In recent years, the number of digital health tools with the potential to significantly improve delivery of healthcare services has grown tremendously. However, the use of these tools in large, complex health systems remains comparatively limited. The adoption and implementation of digital health tools at an enterprise level is a challenge; few strategies exist to help tools cross the chasm from clinical validation to integration within the workflows of a large health system. Many previously proposed frameworks for digital health implementation are difficult to operationalize in these dynamic organizations. In this piece, we put forth nine dimensions along which clinically validated digital health tools should be examined by health systems prior to adoption, and propose strategies for selecting digital health tools and planning for implementation in this setting. By evaluating prospective tools along these dimensions, health systems can evaluate which existing digital health solutions are worthy of adoption, ensure they have sufficient resources for deployment and long-term use, and devise a strategic plan for implementation.
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.