Design and Usability Evaluation of a Digital Guideline Management Application for a Pediatric Cardiac Center
Heidenreich, B. M.
Show abstract
Background. Complex cases in specialized pediatric care require consistent adherence to evidence-based clinical pathways and protocols to ensure safe, high-quality, and equitable care. Currently, clinical pathways and supporting documentation are frequently distributed across multiple platforms, leading to fragmentation. Human-centered design principles can guide the development of healthcare technologies that minimize cognitive load and support rapid, efficient access to relevant information in clinical settings. The purpose of this study is to design and evaluate perceived usability of a pediatric cardiac center digital guideline management system that is embedded within the electronic health record leveraging human-centered design. Methods. This study used a mixed-methods usability evaluation to assess a digital guideline management system prototype embedded into clinical workflow. Through human-centered design principles, the prototype provides a centralized digital document library that organizes cardiac-specific clinical pathways, guidelines, procedures, and related resources. A small but diverse sample, encompassing a wide variety of roles and clinical areas within the pediatric cardiac center, was recruited to evaluate the perceived usability of the prototype. Usability was evaluated by stakeholders using the validated System Usability Scale (SUS) with additional optional questions to understand perceptions of the information architecture and clinical value. Results. Preliminary usability testing showed a mean SUS composite score of 76.5, indicating above average usability. Questions related to the complexity of the system and user confidence received high scores across participants. Lower scores were observed for questions related to usage frequency and ability to learn the system very quickly. Conclusion. Leveraging human-centered design when building a digital guideline management system embedded within clinical workflow revealed positive perception from participants. By centralizing access to clinical resources, this prototype can reduce current-state fragmentation. Further evaluation of larger samples is needed to develop a list of future recommendations.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Theory of radiologist interaction with instant messaging decision support tools: a sequential-explanatory study 96%
- The NASSS (Non-Adoption, Abandonment, Scale-Up, Spread and Sustainability) framework use over time: A scoping review 94%
- From months to minutes: creating Hyperion, a novel data management system expediting data insights for oncology research and patient care 94%
Similar papers in this journal
- Validating a Clinical Decision Support System for Palliative Care using healthcare professionals’ insights 96%
- A digital self-care intervention for Ugandan patients with heart failure and their clinicians: User-centred design and usability study 94%
- How suitable are clinical vignettes for the evaluation of symptom checker apps? A test theoretical perspective 92%
Similar papers in this journal
- Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study 94%
- A Web-based, Mobile Responsive Application to Screen Healthcare Workers for COVID Symptoms: Descriptive Study 94%
- The potential for digital patient symptom recording through symptom assessment applications to optimize patient flow and reduce waiting times in Urgent Care Centers: a simulation study 94%
Similar papers in this journal
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 96%
- Design and implementation of a system for automated monitoring of adherence to evidenced-based clinical guideline recommendations 95%
- Understanding how the design and implementation of Online Consultations influence primary care outcomes: Systematic review of evidence with recommendations for designers, providers, and researchers 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.