FHIR Meetup #8 - HL7 FHIR at scale

FHIR® Meetup #8

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.

Agenda

10:50AM PDT

Join call & Intros ~10 min

11:00AM PDT

FHIR Meetup opening ~10 min

11:10AM PDT

Performance is a way of trade-offs. Nikolay Ryzhikov ~15 min

11:25AM PDT

Q&A Session ~5 min

11:30AM PDT

Scale requirements for streaming EMR data to FHIR. Vivian Neilley

11:45AM PDT

Q&A Session ~5 min

11:50AM PDT

FHIR search is too slow for patient-facing apps. Sonya Huang

12:10PM PDT

Q&A Session ~5 min

12:15PM PDT

FHIR Data - how big is BIG? Brendan Kowitz

12:30PM PDT

Q&A Session ~5 min

12:35PM PDT

FHIR at scale roundtable ~45min

September 27, 2022

11:00AM - 1:00PM PDT

Online / Zoom

For Free

Recorded Meetup

Topics & Speakers

Performance is a way of trade-offs

Bulk import performance
FHIR Search and performance issues
Chained search performance

Nikolay Ryzhikov

CTO at Health Samurai

// Bio

Nikolay 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 has been actively contributing to the FHIR standard, and popular open-source projects like Fhirbase, FHIR.js. Author of the FHIR-first development approach and regular speaker of FHIR events.

Scale requirements for streaming EMR data to FHIR

EHR (HL7v2) to FHIR Use Cases
Size and processing speeds needed to streaming EHR data
Reconciliation and the key to FHIR data being useful

Vivian Neilley

Product Manager for Google Cloud's Healthcare Data Engine

// Bio

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.

FHIR search is too slow for patient-facing apps

Benchmarking FHIR search performance with Gatling
Usability limitations with the FHIR REST API
Handling expensive queries through complementary services

Sonya Huang

Technologist at Zus Health

// Bio

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.

FHIR Data - how big is BIG?

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

Brendan Kowitz

Software Engineering Manager at Microsoft

// Bio

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.

FHIR at scale

FHIR® Meetup #8

Agenda

Topics & Speakers

Nikolay Ryzhikov

Vivian Neilley

Sonya Huang

Brendan Kowitz

Register here

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