Fast Healthcare Interoperability Resources
Jalaj NautiyalMark Buckner
HIT Independent Study Goals
Objectives• Become more familiar
with FHIR• Modify HIT course
project– Include patient search
constraints• Participate in
HealthCamp Code-a-thon
Plan A• SMART on FHIR app
Plan B• Pending & lapsed patient
immunization app• (Create ETSU FHIR endpoint)
Plan C• Patient immunization app
– Fetch immunization information based on patient
What is FHIR?
Fast Healthcare Interoperability Resources– New standard from HL7• Result of Argonaut Project• Currently in trial-use phase
– Facilitates efficient information transfer between EHR systems
– Modular & flexible• Easier to implement than previous HL7 standards• EHR-agnostic
Resources
Clinical– Medication– RiskAssessment– Immunization
Identification– Patient– Practitioner– Organization
Workflow– Encounter– Appointment
Financial– Claim– PaymentNotice
The Patient Resource
Code-a-thon Preparations
• FHIR research• Presentation at MSHA• Formation of team
– Team WoodStove– First collaborationbetween MSHA IS team
& ETSU Computing Dept.
Team WoodStove
"O, captain! My captain!"– Dr. Jay Jarman
MSHA representatives– Wes Combs– Ian Williams– Dustin Trent
ETSU graduates– Jalaj Nautiyal– Mark Buckner
Code-a-thon Event
Locations– Washington, D.C.• Day 1: Hubert H. Humphrey Building (Dept. of HHS)• Day 2: 1776 (startup incubator)
Competition– 80+ participants– 12 teams
Objective– Create app to put a beneficiary’s claims data to use for
the betterment of their health
Use-cases– Helping beneficiaries manage their health– Allowing beneficiaries to share their data with their
providers or caregivers– Allowing beneficiaries to donate their data for research
purposes (e.g., for patient-centered comparative effectiveness research)
Highest score out of all academic teams!!!
…only academic team...
Our solution– Desktop C# app– Wrapped .NET FHIR API– Split team between UI &
middleware– Alternatives
• Microsoft Azure• Xamarin• iPhone deception!
Other teams' solutions– @Point of Care (1st place)
• Leveraged IBM Watson• Complex health information visualizations
– NavHealth (tied 2nd place)
• Patient decision support system– Uses recurring neural network algorithm
– UBeWell (tied 2nd place)
• App to improve hypertension via Medicare data
Lessons Learned
• Ad hoc team experience• Exposure to new technologies– Postman
• FHIR data-handling structure– FHIR endpoints
• Communicated with several key FHIR evangelists
FHIR's Future?
• Vendor buy-in– Lack of incentives
• Competition• Universal Medical ID number problem?
FHIR Resources
Documentation & information– Official HL7 FHIR Documentation– FHIR Wiki– Official FHIR .NET API– Health Intersections• FHIR project leader’s site
Public endpoints– FHIR Sandboxes
Demonstrations
Thanks!
Please, direct all questionsto Jalaj Nautiyal. :)