ArticleNPJ digital medicine2026
Large-scale system-level digitalisation initiatives in the National Health Service in England: insights from three national evaluations.
Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Large language models in oncology: promise, pitfalls, and the path to real-world adoption.ESMO real world data and digital oncology · 2026Article
- How artificial intelligence is disrupting the field of medical knowledge and evaluation: a narrative review.BMJ digital health & AI · 2026Review
- Review
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
There is a growing number of large-scale digitalisation programmes in health and care, each aiming to coordinate digital technologies across systems and organisations. This paper draws on findings from three independent evaluations of national initiatives within the English National Health Service, examining implementation, reception, and lessons for future efforts. We evaluated three national programmes collectively valued at £13 billion. We conducted 1079 interviews with implementers, frontline staff, patients, decision-makers, and vendors. We also observed 819 clinical encounters and meetings, and reviewed 2219 documents, including plans, minutes, business cases, and lessons-learned reports. Data gathered over 15 years enabled detailed analysis of temporal and contextual variation. Although programme goals differed, common themes emerged. Integrating new technologies with existing legacy systems constrained progress and demanded long-term systemic change, particularly in larger programmes involving multiple technological systems. The most significant challenges were sociotechnical. Expectations were inflated, timelines politically driven, and governance unstable, with objectives drifting over time. Conflicting priorities undermined coordination, and valuable learning was not consistently retained. National support and system-level coordination are essential for large-scale digital transformation. We propose a three-stage model: invest in infrastructure, enable shared learning, and build on these foundations to drive advanced innovation.
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.