Exec. Director Merck & Co., Inc. West Point, Pennsylvania
Healthcare has been transformed by the ability to rapidly access and analyze data. The emergence of COVID-19 has demonstrated the need for immediate, transparent access to data to guide policy and clinical care. But the use of data requires assurance of its lineage and quality regardless of the use case. While improving research transparency requires a multifaceted approach, the use of emerging cryptographic technologies, such as blockchain, can offer efficient methods to assess the source of data assets, reduce the risk of either accidental or intentional manipulation, and boost the confidence in conclusions made by the scientific community. Similarly, as predictive algorithms and artificial intelligence are adopted in clinical workflows, a clear audit trail of the data used to train and validate these models will be needed. In this session, we will discuss the benefits and limitations of blockchain technology along with healthcare use cases that are best suited to derive value from this technology. We will also review a proof-of-concept application developed within our health system that leverages a public/private blockchain to validate data lineage from source to analysis and highlight its potential applications for pharmaceutical sciences.