Argonaut: Patient Lists
summary
Argonaut defines a three-step API that uses the FHIR Group resource to discover user-facing patient lists (summary searches), fetch a selected group (metadata + members), and retrieve per-patient data either by patient-based FHIR queries or by server-provided questionnaire+extensions for real-time scores and encounter links. The project ships a draft IG, Postman examples, an open-source sandbox, sample Cynthia test data, a simple Python/Flask demo and a Microsoft React client, runs connectathons (Sept/Jan) and finishes as a HL7 handoff-ready proof of concept.
AI-written summary · about
chapters (15)
- 0:00Start
- 1:56Argonaut Patient List Project
- 3:40Types of Patient Lists
- 6:19Overview of the Argonaut Patient List Api
- 7:20Group versus List versus Searching
- 9:20Step Number One Discovery of User Facing List
- 10:39Summary Search
- 10:49Search Syntax
- 12:08Fetch that Individual Patient List
- 31:40Batch Transaction
- 32:04Getting Extra Details by a Questionnaire
- 37:35Postman Examples
- 38:32Conformance Resources
- 42:23How Does the Questionnaire Define the Data How Do You Find the Data
- 46:11What Is the Relation between Bulk Data and Argonauts
related talks
44mArgonaut Data Query on FHIR R4
40mThe Argonaut Scheduling Project
42mAll of Us / Sync for Science
41mUsing Graph-theory to empower patients
47mModeling a clinical scenario
32mTradeoffs between leveraging FHIR REST APIs vs. GraphQL APIs
49mFHIR Bulk Data API and what's new in v2
31mGraphQL: how to make clients enjoy using your API