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A Versatile and Scalable Platform That Streamlines Data Collection for Patient-Centered Studies: Usability and
Haley Huang1, Sofia Aschettino1, Nasim Lari1
1IBM Consulting, IBM, Bethesda, MD, United States.
The Survey of Health and Patient Experience (SHAPE) platform enhances clinical study data collection by enabling direct patient input and electronic health record integration. This innovative tool supports regulatory-grade natural history studies, particularly for rare diseases, improving drug development and patient outcomes.
Area of Science:
- Biomedical Informatics
- Clinical Research Technology
- Patient-Reported Outcomes
Background:
- The Food and Drug Administration Center for Biologics Evaluation and Research (CBER) established the Biologics Effectiveness and Safety (BEST) Initiative to improve understanding of patient experiences with regulated products.
- Existing data collection challenges, especially for rare diseases, highlighted the need for a comprehensive platform for patient and caregiver engagement in studies.
- CBER recognized the necessity for a centralized system for study design, deployment, participant enrollment, consent, and secure data participation.
Purpose of the Study:
- To raise awareness about the Survey of Health and Patient Experience (SHAPE) platform.
- To detail the design, development, and unique features of the SHAPE platform.
- To describe SHAPE's functionality, application, quality improvement, open-source availability, and future enhancement plans.
Main Methods:
- The SHAPE platform utilizes a Google Cloud environment with distinct administrator and participant applications, plus an API.
- Leveraging the open-source Ionic Framework, SHAPE supports cross-platform app development (iOS, Android, PWA) from a single codebase.
- Integration with the 1upHealth platform enables secure, one-time electronic health record data pulls via HL7® FHIR® API, following an agile development process with stakeholder engagement.
Main Results:
- SHAPE empowers study coordinators to design, develop, and deploy questionnaires for direct patient/caregiver endpoint collection.
- Electronic health record integration validates and enhances data accuracy, with data downloadable in HL7® FHIR®-formatted JSON files.
- Demonstrated applicability through a hypothetical type 1 diabetes study and an ongoing metachromatic leukodystrophy pilot for rare disease natural history studies.
Conclusions:
- SHAPE serves as an intuitive and comprehensive data collection tool applicable to diverse clinical studies.
- The platform's versatility, scalability, and customizability support multiple use cases for capturing patient perspectives and clinical data.
- SHAPE provides valuable data for regulators, clinicians, researchers, and patient advocacy groups to inform drug development and enhance patient outcomes.
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