Building FHIR applications with MongoDB

April 14, 2020

12pm CST

FHIR® (Fast Healthcare Interoperability Resources) is a next-generation standards framework created by HL7 which promises to ease interoperability in the healthcare industry. FHIR provides a means for representing and sharing information among clinicians and organizations in a standard way regardless of the ways local EHRs represent or store the data. FHIR combines the best features of previous standards into a common specification, while being flexible enough to meet needs of a wide variety of use cases within the healthcare ecosystem. FHIR focuses on implementation and uses the latest web technologies to aid rapid adoption.

MongoDB and FHIR both natively support the JSON format, the standard extensively used in modern application development due to its ability to support rich data structures and objects prevalent in healthcare, such as patients, claims, policies, and treatments.

In this webinar we’ll cover:

  • An overview of our global cloud database platform, MongoDB Atlas
  • How to configure confidential workloads with strong security controls
  • Important HIPAA considerations
  • Concluding with a live code session with the FHIR connector.



    This webinar is beginner level and best for managers, developers and architects

    About the presenter:


    Kenneth White, Security Principal

    Kenneth White is a security researcher whose work focuses on networks and global systems. Previously, White was Principal Scientist at Washington DC-based Social & Scientific Systems where he led the engineering team that designed and ran global operations and security for the largest clinical trial network in the world, with research centers in over 100 countries. White co-founded CBX Group which provides security services to major organizations including World Health, UNICEF, Doctors without Borders, the US State Department, and BAO Systems. He is a 15+ year veteran in the healthcare and biotech space having led over 45 FDA Part 11 and Part 820 audits and has previously served on the Department of Homeland Security National Working Group on Software Security Assurance.

    White holds a Masters from Harvard and did his PhD work in neuroscience and cognitive science at the National Institutes of Health Clinical Center, with applied research in real-time classification and machine learning. His work on network security and forensics and been cited by media including the Wall Street Journal, Forbes, Reuters, Wired and Nature. His work on applied signal analysis has been published in the Proceedings of the National Academy of Sciences. White has served as a technical reviewer for the Software Engineering Institute, and publishes and speaks frequently on computational modeling, security engineering, and trust.