ReviewHeart failure reviews2025
Electronic health record nudges to optimize guideline-directed medical therapy for heart failure.
Review in Heart failure reviews, 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.
- Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science.Journal of medical Internet research · 2025Article
- Prognostic significance of early stage aortic valve disease development in heart failure: insights from the MECKI score cohort.European heart journal open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic health record (EHR) alert nudges are emerging as a valuable tool for improving heart failure (HF) management, particularly by enhancing the use of guideline-directed medical therapy (GDMT). These nudges, integrated as clinical decision support (CDS) tools within EHR systems, provide real-time, evidence-based prompts that assist clinicians in making informed treatment decisions at critical moments in patient care. Studies have shown that targeted alerts can improve GDMT adherence and outcomes. Designing effective nudges requires aligning alert content, timing, and format with clinician workflows to reduce alert fatigue and enhance usability. Furthermore, involving clinicians in the design process helps ensure alerts are relevant, context-sensitive, and integrated smoothly into practice. EHR nudges present an innovative approach to bridging quality gaps in HF care by encouraging timely interventions and adherence to best practices, but their efficacy depends on thoughtful implementation. Future research is needed to refine alert strategies, optimize their impact on clinical outcomes, and explore their role across diverse healthcare settings, ultimately advancing the potential of EHR nudges to improve HF care quality.
Indexed as
Identifiers
40106122What 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.