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Similaire à Presentation 2 - FHIR Overview
Similaire à Presentation 2 - FHIR Overview (20)
Presentation 2 - FHIR Overview
- 1. 1 Philips HealthSuite FHIR API Tom Wilson Philips Healthcare @twilson650
- 2. 2 HealthSuite Hackathon RESTful Health APIs Most are specific to a device/company (fitbit, misfit, withings, etc) …although… There are some general purpose APIs, like the Human API https://www.humanapi.co/ These RESTful APIs have some common design features/flaws: • URL based on data type: – /user-id/sleep – /user-id/activity – /user-id/weight • Different data structures for each data type • Additional data types require API change! • Do not integrate easily with medical records (require translation)
- 3. 3 HealthSuite Hackathon How do we bridge the gap?
- 4. 4 HealthSuite Hackathon Enter FHIR http://www.hl7.org/fhir/ • A new standard – Made possible by new technologies and standards – Informed by lessons of the past • Not a new standard – We don’t need yet another health data standard – HL7, the health data standard since 1987 • REST API • “Internet of Things” for your health data • your health data is now addressable • Compatible with wide range of data – Hospitals – Home Monitoring Equipment – Fitness Trackers – Environmental sensors
- 5. 5 HealthSuite Hackathon What is FHIR? A Brief History • Fast Healthcare Interoperability Resources (FHIR) RESTful API for health data • HL7 standard with long history – HL7v2: internal hospital data – HL7v3: Health Information Exchange (HIE) – CDA/CCD: Clinical Document Architecture / Continuity of Care Document – FHIR: Simplified REST implementation of CDA
- 6. 6 HealthSuite Hackathon FHIR Basics • Everything is a resource – Organization – Patient – Observation Every resource is addressable with a URL https://yourserver.com/Organization/123 https://yourserver.com/Patient/456 https://yourserver.com/Observation/789 Resources are connected with URL references
- 7. 7 HealthSuite Hackathon Observation Resource “subject” is relative URL of the patient “valueQuantity” contains the value and units
- 8. 8 HealthSuite Hackathon Observation Value • “valueQuantity” – Value – Units SI - Système International d’Unités, or International System of Units UCUM – Unified Code for Units of Measure “appliesDateTime” Point in Time Observation Timing “appliesPeriod” Time Interval
- 9. 9 HealthSuite Hackathon Coding the Observation Type LOINC – hospital / medical data IEEE-11073 – fitness, diet, environmental
- 10. 10 HealthSuite Hackathon Coding the Observation Type /Observation?subject=Patient%2Fa103&name=https%3A%2F%2Frtmms.nist.gov%7C150016 Insert code system + code into your query You can search for codes Or check the cookbook!
- 11. 11 HealthSuite Hackathon Observation Observation type Value and units Date and time The patient
- 12. 12 HealthSuite Hackathon Fitness Data • Nothing special about fitness data in FHIR • Observation with a code, same as everything else • IEEE-11073 covers fitness data –Steps per day –Sleep quality –And much more!
- 13. 13 HealthSuite Hackathon Fitness Data: Steps per Day 4,718 steps March 5, 2015 https://rtms.nist.gov MDC_HF_DISTANCE 8454247 Fitness tracker data Coding Observation Resource
- 14. 14 HealthSuite Hackathon Fitness Data – Fitbit Observation
- 15. 15 HealthSuite Hackathon Environmental Data • Air quality data from smart air purifiers. Air quality: bad Alert! Everyone Inside!
- 16. 16 HealthSuite Hackathon Environmental Observation
- 18. 18 HealthSuite Hackathon Useful Links • FHIR Spec DSTU 2 https://www.hl7.org/fhir/2015May/index.html • HAPI FHIR Java Library https://github.com/jamesagnew/hapi-fhir • HAPI Test Server http://fhirtest.uhn.ca/ • IEEE Personal Health Device working group http://standards.ieee.org/develop/wg/PHD.html • Philips HealthSuite http://www.usa.philips.com/healthcare-innovation/about-health-suite • Health Hackathon (Netherlands) Aug 28 http://reshape.hackinghealth.io/
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Notes de l'éditeur
- How many have used FHIR before? Any HL7 messaging standard? Fitness tracker APIs?
- HL7 is the standard for hospital medical records. V2 is used internally by hospitals, but uses an old pipe-delimited format that is difficult to read. HL7v3 was an attempt to create a new XML format. CDA is a constraint on the HL7v3 standard to build clinical documents. One such document, the Continuity of Care Document (CCD), combined all the elements of a patient summary record and quickly became the most transmitted electronic health document. But… XML documents can be difficult to manage. Enter FHIR, based on the structure of the CCD but uses a RESTful, JSON-friendly structure. FHIR is a REST implementation of HL7, compatible with the older standards and easier to use.
- I’m going to take you through some observations, explaining what the elements are, and then show you a complete example.
- Explain SI and UCUM. Spell it out on the slide. Add Examples.
- There are other code systems, but these are the 2 we use. Explain what these 2 systems are. Add example
- There are other code systems, but these are the 2 we use. Explain what these 2 systems are. Add example
- Add date value. Remove snomed coding. Add IEEE. Bringing concepts all together. This is weight, you find these in clinical settings like hospitals. Hospitals are already storing weight and other measurements (blood pressure, heart rate) in patient medical records (EMRs).
- Consumer sensor data. Show of hands: How many own fitbits or other wearables? How many are wearing one right now? Add illustration. Picture of fitbit. Steps per day with arrow. Another arrow with code system + code. Out of the box comes a FHIR observation (flame picture, add fhir icon). Talk through diagram: Take fitbit data (steps, day) add the IEEE code, and out comes a FHIR observation that looks like… Next slide shows observation JSON.
- Add illustration. Picture of fitbit. Steps per day with arrow. Another arrow with code system + code. Out of the box comes a FHIR observation (flame picture, add fhir icon). Next slide shows observation JSON.
- Add illustration. Picture of fitbit. Steps per day with arrow. Another arrow with code system + code. Out of the box comes a FHIR observation (flame picture, add fhir icon). Next slide shows observation JSON.
- Find picture of air purifier… smoggy day… cloud… unhappy person… choking person… guy going into house. Air filter. Bridges real world action with health record.