ArticleHealth systems (Basingstoke, England)2023
From digital health to learning health systems: four approaches to using data for digital health design.
Article in Health systems (Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- MEDA-PKD: a dynamic, real-time analytics platform for precision care in autosomal dominant polycystic kidney disease.NPJ digital medicine · 2026Article
- eHealth competency needs in the Mekong border region: a GLMM analysis of primary care personnel in Nong Khai, Thailand.BMC health services research · 2026Article
- From theory to therapy: integrating artificial intelligence for transformative healthcare innovation.Health systems (Basingstoke, England) · 2026Article
- WMRE2030: integrating wearable devices, multi-omics, and artificial intelligence-driven real-time feedback into a daily-scale closed-loop framework for a new era of precision exercise.Frontiers in physiology · 2026Review
- Revolutionising health monitoring: IOT-Based system with machine learning classification.Health systems (Basingstoke, England) · 2025Article
- Using participatory systems approaches to improve healthcare delivery.Health systems (Basingstoke, England) · 2023Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital health technologies, powered by digital data, provide an opportunity to improve the efficacy and efficiency of health systems at large. However, little is known about different approaches to the use of data for digital health design, or about their possible relations to system-level dynamics. In this contribution, we identify four existing approaches to the use of data for digital health design, namely the silent, the overt, the data-enabled, and the convergent. After characterising the approaches, we provide real-life examples of each. Furthermore, we compare the approaches in terms of selected desirable characteristics of the design process, highlighting relative advantages and disadvantages. Finally, we reflect on the system-level relevance of the differentiation between the approaches and point towards future research directions. Overall, the contribution provides researchers and practitioners with a broad conceptual framework to examine data-related challenges and opportunities in digital health design.
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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.