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P241: Leveraging Remote Data Capture to Generate Real-World Evidence for Clinical Transformation





Poster Presenter

      Troy Astorino

      • CTO
      • PicnicHealth
        United States

Objectives

To provide a comprehensive review analysis of how remote primary data capture methods revolutionize clinical research by enhancing patient centricity, operational efficiency, and compliance with evolving regulatory and ethical standards.

Method

Examine remote data capture methods: At-home sample collection, biometric data, eCOA systems, televisit assessment; Review regulatory frameworks, ethical considerations, operational challenges, and economic implications, placing these innovations within the broader context of observational research.

Results

Remote data capture unlocks real-world patient insights while introducing both opportunities and challenges across multiple dimensions: Enhanced Data Collection: Actively involving patients in the design of data collection methods through user testing, surveys, and interviews ensures a patient-centered approach that prioritizes their experience. Incorporating the patient voice into the at-home biologic sample collections, biometric data via wearables, and electronic patient- and clinician-reported outcomes enriches the granularity of data while reducing patient burden – especially when paired with appropriate training and support. Regulatory and Ethical Considerations: New and evolving regulatory guidelines demand rigorous attention to data security, patient privacy, and ethical conduct. The framework explores how secure data transmission and compliance with privacy laws can foster trust and ensure adherence to regulatory standards. Operational Challenges and Economic Implications: While these digital innovations promise reduced operational overhead and increased trial agility, challenges such as technology integration, staff training, and patient adoption remain. The analysis outlines potential cost efficiencies from diminished site management and travel expenses, balanced against initial implementation hurdles and ongoing support requirements. Collectively, these methods foster a more agile, inclusive, and patient-centered clinical research landscape, paving the way for novel endpoints and offering strategic insights for future trial designs and regulatory strategies.

Conclusion

Integrating remote biologic sample collections, biometric data capture, eCOA, and remote clinician assessments holds transformative potential for clinical research that can be applied to observational, low interventional, and validation studies. Beyond reducing operational burdens and cost, these innovations address critical regulatory and ethical challenges, ensuring patient data is secure and compliant with current standards. Despite operational challenges such as technology integration and training needs, the long-term economic benefits and enriched real-world evidence provide a compelling case for this multi-modal approach. This framework invites biopharma leaders, regulators, and technology partners to collaboratively advance digital strategies, setting new benchmarks for clinical excellence and accelerating therapeutic innovation. - Clara Hancock - Troy Astorino

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