Back

Design and Usability Evaluation of a Digital Guideline Management Application for a Pediatric Cardiac Center

Heidenreich, B. M.

2026-05-26 health informatics
10.64898/2026.05.24.26353982 medRxiv
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.

1
DIGITAL HEALTH
12 papers in training set
Top 0.1%
22.1%
2
JMIR Formative Research
32 papers in training set
Top 0.1%
14.4%
3
Journal of Medical Internet Research
85 papers in training set
Top 0.3%
12.1%
4
JAMIA Open
37 papers in training set
Top 0.2%
6.7%
50% of probability mass above
5
PLOS Digital Health
91 papers in training set
Top 0.4%
6.2%
6
BMJ Health & Care Informatics
13 papers in training set
Top 0.1%
4.8%
7
Journal of the American Medical Informatics Association
61 papers in training set
Top 0.8%
3.5%
8
BMC Medical Informatics and Decision Making
39 papers in training set
Top 0.9%
3.0%
9
JMIR Medical Informatics
17 papers in training set
Top 0.5%
2.4%
10
PLOS ONE
4510 papers in training set
Top 46%
2.3%
11
Healthcare
16 papers in training set
Top 0.4%
2.0%
12
Frontiers in Digital Health
20 papers in training set
Top 0.5%
1.8%
13
JMIR Research Protocols
18 papers in training set
Top 0.7%
1.7%
14
Frontiers in Public Health
140 papers in training set
Top 6%
1.3%
15
npj Digital Medicine
97 papers in training set
Top 3%
1.2%
16
Scientific Reports
3102 papers in training set
Top 71%
0.9%
17
Journal of Clinical and Translational Science
11 papers in training set
Top 0.3%
0.9%
18
International Journal of Medical Informatics
25 papers in training set
Top 2%
0.8%
19
International Journal of Environmental Research and Public Health
124 papers in training set
Top 6%
0.8%
20
JMIR Public Health and Surveillance
45 papers in training set
Top 3%
0.8%
21
BMJ Open Quality
15 papers in training set
Top 0.9%
0.7%
22
Journal of Biomedical Informatics
45 papers in training set
Top 2%
0.7%
23
Archives of Public Health
12 papers in training set
Top 0.9%
0.6%
24
JMIR mHealth and uHealth
10 papers in training set
Top 0.5%
0.6%