Learn HL7 FHIR basics, test your knowledge and explore how healthcare data is exchanged in real life.
Be a part of the community that drives healthcare data inteoperability to the next level.
I believe we can LEARN, SHARE and GROW together.
I'm a software engineer from Sri Lanka who is currently living in Adelaide, Australia. I started creating digital health services with HL7 FHIR and was interested in how healthcare data are exchanged using FHIR and it's potential in future.
In my journey learning FHIR, many people have helped me and now it's time to give back.
Most of the information about FHIR is scattered, repeated, posted on social media or community chat groups, and is difficult to find.
This is my attempt to share some resources and tools that I have compiled recently, to help software and medical professionals understand FHIR,
assist anyone becoming a FHIR certified professional or simply on Spreading more FHIR!
Janaka Peiris
Not sure where to start ? Here are a list of videos, grouped separately for software and medical professionals, knowledge level and topic.
These FHIR training courses are designed for absolute beginners to advanced users. These can be delivered on an "on-demand" basis for small groups(5-10) to be effective.
A success path for both technical and medical professionals, outlined separately. This is based on my own experience, having participated in several study groups. Learning together is exciting!
Test your FHIR Resource knowledge! Track your score as you answer, using all 146 FHIR Resources in R4.
Join the community in LinkedIn with interest to lean FHIR and get certified. Know why we started this group, who is there to help and what we do to assit members.
Map real-life situations, documents and any kind of data to FHIR and test your knowledge.
(to be released)
Synthea® project is a synthetic patient data generator, that can generate real-like patient data in FHIR. If you are interested in adding your own country (or at least a part of it), use these templates to gather information and contribute to the Synthea project. This will benefit any future software developers to test with localized datasets.