How to make your system scalable enough to handle the onslaught of data? And how to overcome the performance gaps of the FHIR® REST API? Get all the crucial answers that you won't find in the FHIR specification.
In this meetup, the experts from Google, Health Samurai, Microsoft, and Zus Health discussed performance and scalability issues and how to solve them when working with FHIR.
Watch the video to catch up with the essential how-to’s:
- improve bulk import performance
- stream EMR data to FHIR effectively
- process huge data sets faster
- retrieve the best matches with FHIR search
- handle usability limitations with the FHIR REST API, and many more.
As a result, you will be able to make informed choices and achieve big results using FHIR for building your robust healthcare ecosystem.
• Bulk import performance
• FHIR Search and performance issues
• Chained search performance
Nikolai is a CTO at Health Samurai and technical leader of the Aidbox FHIR Platform with more than 15 years of experience in healthcare IT. Since 2012, it has been actively contributing to the FHIR standard and popular open-source projects like Fhirbase and FHIR.js. Author of the FHIR-first development approach and regular speaker of FHIR events.
• EHR (HL7v2) to FHIR Use Cases
• Size and processing speeds needed to streaming EHR data
• Reconciliation and the key to FHIR data being useful
In this role, she works to build out the product strategy and vision for HDE, a healthcare data platform on FHIR. Prior to this role she was the Interoperability Lead for the North American market, specializing in helping the largest healthcare organizations standardize their data and meet government regulations. Prior to Google, she worked at IBM Watson Health, American Telemedicine Association, and was a nursing assistant on a pre and post-op care floor.
• Benchmarking FHIR search performance with Gatling
• Usability limitations with the FHIR REST API
• Handling expensive queries through complementary services
Sonya is a Technologist at Zus Health, a digital health company that hopes to leverage FHIR to empower patients and health providers with access to data that is rich, clean, and complete. Prior to Zus she was a long time engineer and cofounder at no-code/low-code mobile platform company Modo Labs. She enjoys casual bike rides and playing video games on easy mode.
• How different data access patterns can influence your storage solution
• How things change as data volume grows. How big is BIG?
• Looking to the future
Originally from Australia, Brendan has been in the beautiful Pacific Northwest of the U.S. for the past several years working at Microsoft. Now an Engineering Manager, Brendan leads a team that develops the open source and hosted FHIR Server for Azure applications.
Aidbox is a developer-friendly FHIR platform where everything remains under your control. Build your enterprise-grade digital healthcare apps and systems using a habitual tech stack and suitable cloud infrastructure: Google, Azure, AWS, or on-premises.
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