ArticleNPJ digital medicine2019
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.
Article in NPJ digital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Clinical and operational insights from data-driven care pathway mapping: a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Control Tower in the hospital: a structure-process-outcome systemic review of telemedicine systems for interprofessional collaboration.NPJ digital medicine · 2025Article
- Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.Nature reviews. Nephrology · 2023Review
- Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness.BMC nephrology · 2023Article
- Machine Learning for Renal Pathologies: An Updated Survey.Sensors (Basel, Switzerland) · 2022Review
- Development of an interdisciplinary early rheumatoid arthritis care pathway.BMC rheumatology · 2022Article
- Defining the Enablers and Barriers to the Implementation of Large-scale, Health Care-Related Mobile Technology: Qualitative Case Study in a Tertiary Hospital Setting.JMIR mHealth and uHealth · 2022Article
- Passive acute kidney injury alerts: less is not more.Pediatric research · 2021Article
- Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems.BMJ health & care informatics · 2021Article
- Opportunities in the cloud or pie in the sky? Current status and future perspectives of telemedicine in nephrology.Clinical kidney journal · 2021Review
- The incidence, mortality and renal outcomes of acute kidney injury in patients with suspected infection at the emergency department.PloS one · 2021Article
- Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.Journal of medical Internet research · 2020Article
- Acute kidney injury and adverse outcomes of critical illness: correlation or causation?Clinical kidney journal · 2020Review
- Challenges for the evaluation of digital health solutions-A call for innovative evidence generation approaches.NPJ digital medicine · 2020Review
- Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals.Journal of medical Internet research · 2019Article
- Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs.Journal of medical Internet research · 2019Article
Corrections and comments
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Authors and funding
19 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with AKI on emergency admission before (May 2016 to January 2017) and after (May to September 2017) deployment at the intervention site and another not receiving the intervention. Changes in primary outcome (serum creatinine recovery to ≤120% baseline at hospital discharge) and secondary outcomes (30-day survival, renal replacement therapy, renal or intensive care unit (ICU) admission, worsening AKI stage and length of stay) were measured using interrupted time-series regression. Processes of care data (time to AKI recognition, time to treatment) were extracted from casenotes, and compared over two 9-month periods before and after implementation (January to September 2016 and 2017, respectively) using pre-post analysis. There was no step change in renal recovery or any of the secondary outcomes. Trends for creatinine recovery rates (estimated odds ratio (OR) = 1.04, 95% confidence interval (95% CI): 1.00-1.08,
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