https://store-images.s-microsoft.com/image/apps.13383.96b270ec-da43-43b0-94db-28f6307ec0a0.5915178e-92a9-4db4-9231-1b21c3bb2285.beff2ad2-496c-4a14-9d8c-ae20b7b6080c

Hackathon | FHIR Powered Healthcare | Hosted on OneVenue | Virtual or In-person

Opsgility, LLC

Hackathon | FHIR Powered Healthcare | Hosted on OneVenue | Virtual or In-person

Opsgility, LLC

3-day guided hackathon to teach your team the ins-and-outs of FHIR Powered Healthcare

Hackathon Logistics

  • This hackathon is delivered on the OneVenue Azure Integrated Cloud Sandbox SaaS service
  • Up to 20 attendees to participate in the hackathon virtually for 3 days
  • Opsgility Trainers to help coach and lead the hackathon
  • Opsgility Customer Success Team to coordinate logistics for the hackathon
  • After purchase, a Customer Success Manager will contact you to schedule your hackathon.
  • All time zones are supported for delivery.

Questions before purchase?
Contact us at sales@opsgility.com or visit our site to learn more about our Azure Training solutions.


Hackathon Description

Contoso Healthcare is implementing FHIR (Fast Healthcare Interoperability Resources) to exchange data rapidly and securely in the HL7 FHIR standard format with a single, simplified data management solution for protected health information (PHI). FHIR service in the Azure Health Data Services platform is a fully managed, enterprise-grade FHIR Server in the cloud lets you quickly connect existing data sources, such as electronic health record systems and research databases. Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.

Your team's assistance is needed to implement the following scenarios:

  • Ingest and process patient record in HL7 FHIR Bundle or legacy formats from EHR systems into a common FHIR-based standard format, and persist them into a FHIR compliant store to facilitate health data interoperability.
  • Securely connect and search FHIR patient data stored in a FHIR Server through a patient lookup web app to enhance patient engagement.
  • Extract FHIR data via FHIR Analytics pipeline for data exploration in Synapse Studio/SSMS/PowerBI and perform downstream transformation against raw health data stored in Parquet format.
  • Export de-identified FHIR data and store in staging Data Lake storage for downstream processing.
  • Ingest, transform, correlate and persist medical IoT device data in FHIR using the MedTech service in Azure Health Data Services to facilitate discovery of clinical insights and a patient's health and wellness.
  • Load and search imaging data using the DICOM service in Azure Health Data Services to integrate clinical and imaging data for many healthcare scenarios including: creating cohorts for research, provide longitudinal view of a patient during diagnosis, finding outcomes of similar patients to plan treatment options, etc.

You will implement a collection of Microsoft Health reference architectures using the Azure Health Data Services platform that best fit Contoso Healthcare requirements. Below is the holistic conceptual end-to-end Microsoft Health Architectures for the FHIR ecosystem.

FHIR Powered Healthcare

https://store-images.s-microsoft.com/image/apps.34106.96b270ec-da43-43b0-94db-28f6307ec0a0.a321261a-ccb8-4eed-9da5-8d3cc03cdff4.db5ec7c2-9c8a-4d5f-8d87-bfe9188547ec
/staticstorage/8165fe0/assets/videoOverlay_7299e00c2e43a32cf9fa.png
https://store-images.s-microsoft.com/image/apps.34106.96b270ec-da43-43b0-94db-28f6307ec0a0.a321261a-ccb8-4eed-9da5-8d3cc03cdff4.db5ec7c2-9c8a-4d5f-8d87-bfe9188547ec
/staticstorage/8165fe0/assets/videoOverlay_7299e00c2e43a32cf9fa.png
https://store-images.s-microsoft.com/image/apps.51496.96b270ec-da43-43b0-94db-28f6307ec0a0.20296d83-16d0-4e40-82ec-81b81ee77254.515e19e7-4ce4-4c9d-abc9-4ac318ef242c
https://store-images.s-microsoft.com/image/apps.1899.96b270ec-da43-43b0-94db-28f6307ec0a0.20296d83-16d0-4e40-82ec-81b81ee77254.5633d1f2-7d44-4188-a2bf-324994a0d9ca
https://store-images.s-microsoft.com/image/apps.22347.96b270ec-da43-43b0-94db-28f6307ec0a0.20296d83-16d0-4e40-82ec-81b81ee77254.bf0ec46d-9782-4693-bf9c-d6ef8186f864