Clinical Research with FHIR

Опубликовано 15 октября 2020, 0:14

Clinical research faces multiple challenges, including data sourcing, data standardization, and data management, just to get to the point where you can start to create data experiments to prove a hypothesis. This is further complicated by the fact that the healthcare industry is one of the last industries to still maintain their data in on-premise systems that have little or no interoperability with other systems. To do clinical research, you need to bring data together from disparate data sources and standardize the data in preparation for analytics and/or machine learning, but the data is locked away in these on-premise systems. This session will focus on how the emerging Fast Healthcare Interoperability Resources (FHIR) specification is making healthcare data more accessible, and how you can leverage this new standard to bring together disparate data sets and create longitudinal patient data – including social determinants of health – to support your research efforts. You will learn about the FHIR standard and how it supports the FAIRness of research data and how you can leverage capabilities in Azure to support your research.

Speaker: Doug Seven, FHIR

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