ReviewHemodialysis international. International Symposium on Home Hemodialysis2025
Optimizing use of an electronic medical record system for quality improvement initiatives in hemodialysis: Review of a single center experience.
Review in Hemodialysis international. International Symposium on Home Hemodialysis, 2025. 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
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
2 citing papers in PubMed.
- Topic Modeling of Nursing Documentation in Hemodialysis Units: A Mixed-Methods Study of Nursing Surveillance Activities.Journal of nursing management · 2026Observational
- Optimizing use of an electronic medical record system for quality improvement initiatives in hemodialysis: Review of a single center experience.Hemodialysis international. International Symposium on Home Hemodialysis · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe complexity of managing patients with end-stage kidney disease on hemodialysis underscores the importance of implementing quality improvement (QI) initiatives to enhance patient safety and prioritize patient-centered care. To address this, we established a QI committee at our tertiary academic center focusing on evidence-based practices, patient-centered approaches, and cost efficiency. To facilitate the seamless implementation of QI initiatives, we leveraged the capabilities of our electronic medical record (EMR) system.
methodsThis review details effective strategies for optimizing use of an EMR system to successfully implement QI efforts. Drawing from our experience, we provide detailed descriptions and practical insights that can be applied to other EMRs.
findingsThe creation of a secure and accessible dashboard, offering real-time data on quality metrics, stands out as the most notable feature. This dashboard operates through an algorithm that merges data from both our dialysis and hospital EMR systems. Its primary objectives are to streamline the identification of high-priority patients, enhance team communication, and facilitate tracking of quality indicators. Additionally, we integrated clinical pathways, checklists, and standardized protocols into the renal EMR to ensure smooth implementation of QI interventions. Notable examples of these interventions include an incremental hemodialysis protocol, a new hemodialysis start checklist, vaccination care plans, and personalized kidney transplant workups. Programmed electronic automatic reminders have proven invaluable in ensuring timely follow-ups of assigned tasks. The EMR has also contributed to medication optimization and deprescribing by generating patient lists based on specific medication classes. Finally, the EMR's capability to swiftly generate lists of patients with specific features has significantly facilitated targeted QI interventions.
conclusionsLeveraging the capabilities of an EMR system can be crucial for enhancing care of hemodialysis patients and implementing effective QI initiatives.
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What Socratic 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 Socratic graph.