What are the key challenges in implementing FHIR terminology services? How can these services be used to manage code systems, value sets, and concept mappings effectively? What best practices should healthcare engineers and analysts follow to ensure seamless integration of terminology services into their solutions?
In this webinar, experts dive into the essentials of FHIR terminology services, exploring their capabilities, practical applications, and common pitfalls. Whether you’re building a small healthcare application or scaling solutions for enterprise needs, this session provides valuable insights into leveraging FHIR for robust terminology management.
You can play with Aidbox Terminology Notebook in the aidbox.app for free. Here’s how to do it in three simple steps:
1. sign up on aidbox.app
2. create an FHIR server
3. find the Terminology Notebook in Aidbox
We all need good data exchange. But you can’t exchange good data, and make good use of that data, without good terminology infrastructure and management. What does that look like, and why should you invest in a terminology server?
Grahame Grieve is HL7's Product Director for "FHIR" - the leading healthcare data exchange standard of the future. Grahame has a background in laboratory medicine, software vendor development, clinical research, open source development and has also conceived, developed and sold interoperability and clinical document solutions and products in the Australian market and around the world.
We will provide a brief overview of the FHIR Terminology Services API, look at the use cases it supports, and discuss specifics of what and how Ontoserver supports. We will discuss the deployment architecture and how Ontoserver supports content syndication and why. Finally, we will look at some of the technical challenges faced and how we addressed them as well as new work.
Dr Lawley is a Principal Research Scientist at the Australian e-Health Research Centre, a joint venture with CSIRO and the Queensland State Government. He works on e-Health Metadata and Ontologies with a specific focus on SNOMED CT.Previously, Dr Lawley was a Senior Research Fellow at the Queensland University of Technology, QUT's W3C Advisory Committee Representative, and a Visiting Fellow at the CSIRO/Queensland Government e-Health Research Centre.Until 2005, Dr Lawley was a Senior Project Leader for the Pegamento Project at the Cooperative Research Centre for Enterprise Distributed Systems Technology (DSTC Pty Ltd), Brisbane, Australia. His work there involved research into model-driven development techniques and prototyping of tools to support model-driven development. He was a core contributor to DSTC's work on the Object Management Group (OMG) Meta Object Facility 2.0 Query/View/Transformation (MOF QVT).
* What's wrong with CodeSystem and ValueSet.
* Why Aidbox introduced Concept resource.
* Translate Terminology API with Concept:
* Lookup and Expand as Search
* Bulk load for uniform terminology distribution
* Read for validate (+ bulk optimizations)
* Two phase terminology - separate terminology design and runtime.
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.
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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