ArticleApplied clinical informatics2025
Pragmatic Integration of User-Centered Design and Implementation Science: A New Methodological Approach for Clinical Decision Support Implementation in EHRs.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Specifying pathway requirements for mobile outreach cancer testing before rollout: an implementation-aware Target Product Profile method.Implementation science communications · 2026Article
- District health management teams as champions for implementing the WHO LIVE LIFE suicide-prevention framework in Rural Uganda: a pre-implementation qualitative study.Implementation science communications · 2026Article
- From Automation to Action in Heart Failure: Digital Solutions, Pragmatic Evidence, and the Integrative Role of Implementation Science.Circulation. Heart failure · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Clinical decision support (CDS) tools are critical for improving care delivery and guideline adherence but are associated with clinician burnout when inadequately designed and implemented. User-centered design (UCD) and implementation science (IS) methods are evidence-based approaches to optimizing CDS tools, but are infrequently used in part due to limited guidance on how to apply them within resource-constrained health systems.This paper focuses on pragmatic application of an integrated UCD-IS approach, demonstrating how it can be adapted to meet operational constraints through two real-world case studies.We applied an integrated UCD-IS approach guided by the Practical Robust Implementation and Sustainability Model (PRISM) to two CDS projects within a large regional health system: (1) adapting a CDS for improving prescribing of goal-directed medical therapy in patients with heart failure during virtual visits, and (2) expanding a naloxone co-prescribing CDS across outpatient settings. Each project followed iterative phases-partner engagement, design, prototyping, deployment, and evaluation tailored to time and resource constraints of the health system. Methods used included interviews, focus groups, surveys, and usability testing.Multilevel partner engagement surfaced critical insights that informed design adaptations. The heart failure CDS was adapted using minimal changes while the naloxone CDS underwent more extensive design iterations. Both projects balanced rigor and pragmatism, enabling timely implementation and rigorous design evaluation while supporting feasibility and sustainability. Iterative evaluations of both CDS are ongoing and structured to inform real-time refinements that support patient, clinician, and system-level outcomes.This work provides practical guidance on applying an integrated UCD-IS approach to CDS design and evaluation in time and resource-constrained health system environments. By flexibly applying this integrated approach, health systems can better address multilevel partner needs, ensure contextual relevance, and support sustained adoption.
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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.