ArticleBMJ quality & safety2020
Implementation of clinical decision support to manage acute kidney injury in secondary care: an ethnographic study.
Article in BMJ quality & safety, 2020. 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.
- Artificial Intelligence in Critical Care Nephrology: Current Applications, Emerging Techniques, and Challenges to Clinical Integration.Kidney360 · 2026Review
- Hyponatraemia, AKI, and urinary retention following elective joint arthroplasty.BMC nephrology · 2025Article
- Impact of electronic AKI alert/care bundle on AKI inpatient outcomes: a retrospective single-center cohort study.Renal failure · 2024Article
- What characteristics of clinical decision support system implementations lead to adoption for regular use? A scoping review.BMJ health & care informatics · 2024Article
- Summarised, verified and accessible: improving clinical information management for potential haematopoietic stem cell transplantation patients.BMJ open quality · 2021Article
- Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review.JMIR human factors · 2021Review
- Implementing post-discharge care following acute kidney injury in England: a single-centre qualitative evaluation.BMJ open · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver the past decade, acute kidney injury (AKI) has become a global priority for improving patient safety and health outcomes. In the UK, a confidential inquiry into AKI led to the publication of clinical guidance and a range of policy initiatives. National patient safety directives have focused on the mandatory establishment of clinical decision support systems (CDSSs) within all acute National Health Service (NHS) trusts to improve the detection, alerting and response to AKI. We studied the organisational work of implementing AKI CDSSs within routine hospital care.
methodsAn ethnographic study comprising non-participant observation and interviews was conducted in two NHS hospitals, delivering AKI quality improvement programmes, located in one region of England. Three researchers conducted a total of 49 interviews and 150 hours of observation over an 18-month period. Analysis was conducted collaboratively and iteratively around emergent themes, relating to the organisational work of technology adoption.
resultsThe two hospitals developed and implemented AKI CDSSs using very different approaches. Nevertheless, both resulted in adaptive work and trade-offs relating to the technology, the users, the organisation and the wider system of care. A common tension was associated with attempts to maximise benefit while minimise additional burden. In both hospitals, resource pressures exacerbated the tensions of translating AKI recommendations into routine practice.
conclusionsOur analysis highlights a conflicted relationship between external context (policy and resources), and organisational structure and culture (eg, digital capability, attitudes to quality improvement). Greater consideration is required to the long-term effectiveness of the approaches taken, particularly in light of the ongoing need for adaptation to incorporate new practices into routine work.
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