Effective Data Sharing as a Conduit for Advancing Medical Product Development
- PMID: 33398663
- PMCID: PMC7780909
- DOI: 10.1007/s43441-020-00255-8
Effective Data Sharing as a Conduit for Advancing Medical Product Development
Abstract
Introduction: Patient-level data sharing has the potential to significantly impact the lives of patients by optimizing and improving the medical product development process. In the product development setting, successful data sharing is defined as data sharing that is actionable and facilitates decision making during the development and review of medical products. This often occurs through the creation of new product development tools or methodologies, such as novel clinical trial design and enrichment strategies, predictive pre-clinical and clinical models, clinical trial simulation tools, biomarkers, and clinical outcomes assessments, and more.
Methods: To be successful, extensive partnerships must be established between all relevant stakeholders, including industry, academia, research institutes and societies, patient-advocacy groups, and governmental agencies, and a neutral third-party convening organization that can provide a pre-competitive space for data sharing to occur.
Conclusions: Data sharing focused on identified regulatory deliverables that improve the medical product development process encounters significant challenges that are not seen with data sharing aimed at advancing clinical decision making and requires the commitment of all stakeholders. Regulatory data sharing challenges and solutions, as well as multiple examples of previous successful data sharing initiatives are presented and discussed in the context of medical product development.
Keywords: Data; Data-sharing; Drug development tools; Product development; Public–private partnerships; Regulatory science.
Conflict of interest statement
The authors declare that they have no conflicts of interest.
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References
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- A multi-agent system to support evidence based medicine and clinical decision making via data sharing and data privacy - ScienceDirect. Accessed 2020 July 6. https://www.sciencedirect.com/science/article/pii/S0167923616300811
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- Advances in Sharing Multi-sourced Health Data on Decision Support Science 2016–2017. Accessed 2020 July 6. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6115214/ - PMC - PubMed
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- CURE ID [Internet]. Accessed 2020 Dec 6. https://cure.ncats.io/sign-in
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