Reviewnpj health systems2025
Achieving a rapid and continuous learning health system requires socio-technical harmonization of research and operational IT.
Review in npj health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- The bottleneck was never data or algorithms: building a learning utility for AI-enabled learning health systems.npj health systems · 2026Article
- Sociotechnical-systems analysis of IoT-AI convergence in cosmetic health.Frontiers in medicine · 2026Article
- Defining an integrative multidimensional framework for patient complaint management systems.Frontiers in health services · 2026Review
- Connecting biospecimens and data: a scoping review-informed conceptual framework for digital infrastructure in biobanking and genomic research in low- and middle-income countries.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
This perspective identifies challenges in integrating clinical research and care delivery in a rapid and continuous Learning Health System (LHS), focusing on Information technology (IT) systems and workforce harmonization. Based on our experiences, we analyzed differences in funding mechanisms, governance, regulatory frameworks, priorities, workforce culture, technology architecture, risk tolerance, and data standardization. We highlight significant barriers to the LHS implementation caused by IT misalignment between clinical research and patient care and propose strategies to overcome these challenges.
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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.