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An Electronic Data Capture Tool for Data Collection During Public Health Emergencies: Development and Usability Study
Joan Brown1, Manas Bhatnagar2, Hugh Gordon3
1Clinical Operations Business Intelligence, The Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States.
A novel electronic data capture tool was developed to improve multisite data collection during public health emergencies (PHE). This cloud-based platform demonstrated high usability and feasibility, enabling efficient, real-time data management for critical research.
Area of Science:
- Health Informatics
- Clinical Research Technology
- Public Health Preparedness
Background:
- The Discovery Critical Care Research Network Program for Resilience and Emergency Preparedness (Discovery PREP) addressed multisite data collection challenges during public health emergencies (PHE).
- An electronic data capture tool was designed and implemented with a third-party vendor to gather usability data from clinicians during health system stress and influenza studies.
Purpose of the Study:
- To describe lessons learned in designing and implementing a novel electronic data capture tool.
- To enhance the nation's capability for real-time data collection and analysis during PHEs.
Main Methods:
- A multiyear, multiphase design approach was employed for the electronic data capture tool.
- Usability was assessed using the System Usability Scale (SUS) questionnaire and semistructured interviews.
- Feasibility of automating data capture from electronic health records was retrospectively evaluated.
Main Results:
- The tool featured an intuitive interface, automating study communication for efficient multisite management.
- The system achieved a high usability score (SUS: 82.5/100).
- Automation of 61% of variables was feasible; 6 key design requirements for multisite data collection were identified.
Conclusions:
- The cloud-based electronic data capture tool proved feasible for multisite clinical studies.
- Lessons learned can improve global multisite data collection during pandemics like COVID-19.
- The tool transforms manual data abstraction into reliable, real-time, automated information exchange.
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