ArticleMayo Clinic proceedings. Digital health2023
Transforming Home Dialysis Management of Patients with Advanced Kidney Disease Using an Intelligent Automated Application in Practice.
Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Design and implementation of electronic health record-based tools to support a weight management program in primary care.JAMIA open · 2024Article
- Supporting Nursing Efficiency by Understanding Workload: A Critical Need.Mayo Clinic proceedings. Digital health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To describe the design, development, and deployment of an electronic health record (EHR)-based application to manage the Mayo Clinic home dialysis program, improve staff efficiency, and ensure delivery of high-quality clinical care. Patients and Methods: At Mayo Clinic, the Cohort Knowledge Intelligence Solutions (CKIS) team develops innovative patient cohort management solutions using the Epic Healthy Planet module. The CKIS team uses a collaborative and agile approach that incorporates feedback from clinical stakeholders and informatics to create these solutions that improve and automate processes for clinical staff, all managed within the EHR. Over several months (September 1, 2019, to December 30, 2020), the clinical nephrology and CKIS teams met regularly to develop in an iterative fashion 2 home dialysis applications. Time spent on various EHR-related home dialysis tasks was compared before and after the implementation of the applications based on the Nursing Efficiency Assessment Tool (NEAT). Results: Two EHR applications were developed for managing home dialysis referrals and enrollments or monitoring, respectively. The applications consolidate all needed information and provide real-time data to manage patients at the individual or population level. Time saved for the 2 dialysis nurses who worked before and after the implementation was 25 and 20.4 minutes per 8-hour shift, respectively. Conclusion: We developed and implemented 2 EHR applications that proved useful and increased efficiency in managing a home dialysis program. These digital tools can facilitate quality metrics reporting, scale the home dialysis program, and improve care delivery.
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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.