FHIR DevDays Virtual Edition June 2021
| title | author | length |
|---|---|---|
| Highlights from the FHIR DevDays US 2021 agenda | Ward Weistra | 02m |
Four-day program offers 130 live sessions covering core FHIR concepts and real-world implementations, plus a panel that reunites three successive U.S. national… | ||
| FHIR Dev Days June 2021: Welcome! | Josh Mandel | 01m |
Welcome to FHIR DevDays Virtual Edition June 2021 hosted by Microsoft where the program emphasizes concrete problem solving rather than broad overviews. Expect… | ||
| FHIR 10 Year Anniversary | 03m | |
A concise 10-year retrospective of FHIR from 2011 to 2021, listing specific release milestones, when parts went normative, and the emergence of key… | ||
| Find Your Way Around DevDays | Ward Weistra | 31m |
130 sessions over four days with five parallel tracks and recorded Zoom keynotes and tutorials; expect 45-minute tutorials with 10-minute Q&A, 20-minute… | ||
| Building SDC Powered Applications | Ilya Beda | 46m |
Live coding shows a FHIR-first app that builds UI from Questionnaires, uses $populate/$extract, and generates transaction Bundles to create Immunization… | ||
| Use of FHIR APIs to Fight COVID-19 in Ontario, Canada | Igor Sirkovich | 18m |
Ontario builds FHIR APIs that ingest provincial lab diagnostic reports in near real time to create or update cases in the Case & Contact Management system and… | ||
| Argonaut: USCDI + US Core | Eric Haas, Brett Marquard | 44m |
US Core codifies a narrow, implementable FHIR baseline built from Argonaut requirements and required for certified health IT by the 21st Century Cures rule as… | ||
| Navigating the FHIR Community | Lloyd McKenzie | 43m |
Overview of where to get concrete help and what to expect: search the FHIR spec (top‑right magnifying glass) and DevDays videos first; ask on Zulip (100+… | ||
| Let's Build a FHIR App: Introduction HAPI Library for FHIR | James Agnew, Patrick Werner | 02h 01m |
Shows how to parse CSV lab data (a trimmed NHANES file ~1,000 rows) into FHIR R4 Patient and Observation objects using HAPI FHIR model classes… | ||
| Let's Build: Introduction Firely .NET SDK for FHIR | Mirjam Baltus, Marco Visser | 02h 10m |
Live demo reads a CDC-derived CSV with CsvHelper and uses the hl7.fhir.r4 NuGet to map rows into FHIR Patient and Observation objects, e.g. maps patient id to… | ||
| FHIRing up Primary Care with Specialty Clinical Decision Support | Lucienne Ide | 21m |
A FHIR-based SMART app plus CDS Hooks platform calculates NAFLD risk scores (NAFLD fibrosis score shown) from Appointment, Observation, MedicationStatement… | ||
| FHIR Resources for Clinical Research | Edward Hugh Glover | 45m |
Vulcan FHIR Accelerator shows concrete FHIR structures: R5 research study redesign adds multi-name labels, arm identifiers, status dates and registry… | ||
| Democratising FHIR with GraphQL | Matt Bourne | 21m |
Claims that GraphQL Mesh can be extended with custom resolvers to surface FHIR data as front-end friendly queries rather than raw bundles, and demonstrates… | ||
| Lessons From MassVaxx, Open Source Mass Vaccination Mgt System | Peter Hogya, David Fraley | 18m |
MassVaxx is an open source mass vaccination management system focused on COVID vaccine distribution, built as two apps: patient registration and appointment… | ||
| Argonaut: Subscriptions | Gino Canessa | 45m |
FHIR Subscriptions move from result-set polling to a topic-based model with a new canonical SubscriptionTopic that defines triggers and allowed filters… | ||
| Learn StructureDefinition and CapabilityStatement from JSON Schema and OpenAPI | Nick Hatt | 44m |
Shows how to generate CapabilityStatement-driven OpenAPI by extracting supported resources and search parameters from FHIR and using StructureDefinition for… | ||
| Data Quality Management | René Spronk | 44m |
Covers a concrete ETL-style pipeline: provenance resource for full traceability, use of the Bulk Data API, and terminology servers to enrich codes and… | ||
| FHIR API Testing with Inferno | Robert Scanlon | 44m |
Inferno is an open source FHIR API test harness that runs locally or as a service and uses a Ruby DSL plus a built-in FHIR client, validator and terminology… | ||
| Transitioning of Message Mapping Guide to FHIR Implementation Guide | Tia Pope, Myung Choi | 21m |
Maps legacy MMG HL7 v2.5.1 questions and lab repeating groups into FHIR R4 resources using the HL7 v2-to-FHIR project as a baseline, producing v2.5.1 to R4… | ||
| From Zero to Production FHIR Server in 6 Months at a Large Northeast Healthsystem | Nic Lorenzen | 19m |
A large Northeast system stands up a fully managed cloud FHIR repo on Google Cloud Healthcare API and migrates over 10 TB of data in six months, ingesting ~2… | ||
| Clinical and Claims Data Transformation utilizing FHIR Bulk Data | Ricky Sahu | 21m |
Combines claims and clinical records into a single FHIR store, ingesting CCDAs, HL7 feeds or individual FHIR resources and exposing them via NiFi processors… | ||
| Microsoft Azure API for FHIR | Brendan Kowitz | 40m |
Microsoft outlines two deployable FHIR options: managed service vs open source (FHIR Server for Azure on GitHub). It demonstrates HL7v2→FHIR conversion using… | ||
| Referential Integrity | Grahame Grieve | 42m |
FHIR does not require references to resolve and most real systems choose a middle ground: enforce referential integrity for clinically meaningful links… | ||
| CMS: Provider API | Misu Tasnim | 42m |
CMS builds a scheduling pipeline that turned community work into a working feed for vaccines.gov within weeks, using Bulk FHIR files that publish three core… | ||
| FHIR Questionnaires and Structured Data Capture | Brian Postlethwaite | 47m |
Explains how FHIR Questionnaire + QuestionnaireResponse become executable forms using the Structured Data Capture IG with concrete features: server and client… | ||
| Claims on FHIR | Dharmesh Patel, Mike Arce | 20m |
Modernizes claim workflows by mapping eligibility checks, preauthorization requests and adjudication to the FHIR financial model and building concrete APIs… | ||
| Daily Wrap Up | Wayne Kubick | 06m |
🔥 Join us in one of the upcoming editions of FHIR DevDays: https://www.devdays.com
👩🏫 Also there, you can also find the slide decks and exercises for… | ||
| FHIR Fusion: Analytics on Combined Clinical and Imaging Data | Steven Borg | 44m |
Open source dicomcast runs as a Linux container that reads a DICOM service change feed, matches patient IDs to an Azure API for FHIR server, and upserts… | ||
| Porting from Basic to Smart on FHIR Launch | Adam Moses, Ajay Dharod, Paul Yelton | 18m |
Migrates the Empath CRC iPad app from a legacy PACS/Basic launch to a SMART on FHIR OAUTH launch with a new Epic launch button, using R4 when available… | ||
| Google Cloud FHIR APIs: Data Ingestion, Management, and Analytics | Kalyan Pamarthy | 45m |
Google Cloud Healthcare API provides a fully managed FHIR R4 server with import/export, validation, transformation, and analytics integrations. It runs… | ||
| FHIR REST API | Nikolai Schwertner | 45m |
Hands-on coverage of the FHIR REST interface with concrete HTTP examples: how to create, read, update, delete resources via POST/GET/PUT/DELETE, how search… | ||
| Introduction to Profiling | Mirjam Baltus | 46m |
Overview of the FHIR conformance layer: profiles are StructureDefinitions that constrain core resources (cardinality can be tightened but required core… | ||
| Working Smarter with SMART on FHIR | Quintonn Rothmann | 19m |
A working queue-management app demonstrates that a single codebase (HTML/CSS/JavaScript) connects to multiple EHRs via SMART on FHIR without code changes… | ||
| Lessons learned with FHIR Paging and Plain/Façade FHIR/Load Balanced-Systems | Sloan Holliday | 21m |
HAPI FHIR’s sample paging keeps search results in memory which breaks behind load balancers and forces eager loading; implemented a working alternative that… | ||
| Let's Build a FHIR Spec: Profiling with Forge | Ardon Toonstra | 47m |
Walks through eight exercises using Forge for FHIR R4 to build and publish profiles: creates a Patient profile (name 1.., family and given mandatory, DOB and… | ||
| Argonaut: Overview of Projects + New Projects for 2021 | Brett Marquard | 41m |
Argonaut outlines concrete outputs and next steps: a 2016 Argonaut Data Query IG and US Core that went through HL7 balloting (recent ballot yields 90+… | ||
| Bridging v2 to FHIR | Hans Buitendijk | 54m |
Project maps actual HL7 v2 usage into FHIR R4 by mapping commonly used messages (ADT A01, ORM/O01, ORU, VXU, SIU, OML) and the cumulative V2 standard up to 2.9… | ||
| Extending your FHIR Server with Proxy Services | Benjamin Xue | 16m |
Shows a working SMART on FHIR proxy using Azure API for FHIR and Azure AD to translate app OAuth flows into FHIR server access, with a local JavaScript client… | ||
| Ortho on FHIR: Tracking Surgery Outcomes | Sistania Bong | 19m |
Rimidi and Emory build a mobile FHIR app pair: a surgeon app that shows seven-day clinic and surgical schedules and aggregates PROMs, and a patient app that… | ||
| Translating Tabular Data Maps into a FHIR Implementation Guide | Jay Lyle, Michael van der Zel | 18m |
A pipeline converts an analyst-friendly Excel list into FHIR Implementation Guide artifacts by running three Node.js scripts that read Excel XML, expand FHIR… | ||
| Multi-Language Support | René Spronk | 37m |
Explains concrete FHIR mechanisms: use the resource language element and xml:lang in narratives, set HTTP Content-Language and request with Accept-Language… | ||
| Advancing and Implementing Consumer Directed Health Information Exchange with CARIN | Ryan Howells | 37m |
CARIN reports concrete artifacts and timelines: CARIN IG for Blue Button STU1.1 is due in June with reference implementations and test scripts; a… | ||
| SNOMED CT with FHIR | Peter Groves Williams | 42m |
SNOMED CT is presented as an ontology served by an open source Java Spring + Elasticsearch server called Snowstorm Terminology Server, available on GitHub and… | ||
| Create an Implementation Guide with FHIR Shorthand | Mark Kramer | 46m |
FSH is a concise DSL that turns declarative text into full FHIR artifacts and IGs using tools like Fish Online, sushi and go-fish, and it already runs… | ||
| Using a Rule-Based Approach Questionnaires in a FHIR-first Chatbot Application | Alex Pavlushkin | 19m |
A FHIR-first chatbot implements a rule engine that listens for questionnaire saves or rule updates, extracts structured resources (Condition, Observation… | ||
| Make EHR Data Available for Research and Public Health (MedMorph) | Nagesh Bashyam, Maria Michaels | 32m |
Provides a FHIR-based reference architecture that automates EHR-to-public-health/research exchange using a backend services app that reads knowledge artifacts… | ||
| Adventures in FHIR Resource Syncing and Caching | Corey Alexander | 20m |
Wellsheet moves FHIR fetch logic into a relational SQL cache and ingests resource fields rather than storing raw JSON, then builds a dependency graph so… | ||
| Create an Implementation Guide with FHIR Shorthand | Mark Kramer | 46m |
Requires Node.js, one npm command to install sushi and go-fish, and a VS Code .fsh extension; run sushi -i to scaffold, paste FSH, run sushi to compile and… | ||
| Leveraging FHIR Capabilities to Enable Patient Access and Provider Directory APIs | Caitlin Voegele | 36m |
Tutorial demonstrates concrete steps to make a FHIR R4 server meet the CMS July 1 requirements for Patient Access and Provider Directory APIs: posts US Core… | ||
| Smart Health Cards | Josh Mandel | 45m |
Smart Health Cards encode a compressed, signed JSON Web Signature that wraps a W3C Verifiable Credentials payload containing a constrained FHIR bundle (patient… | ||
| Case Based Learning on FHIR | Mark Braunstein, Jim Steel, Ben Barry | 22m |
A pure FHIR platform built at CSIRO and University of Queensland runs real case-based learning in production for UQ medical students, cloning one FHIR patient… | ||
| Daily Wrap Up - Day 2 | Wayne Kubick | 06m |
Day 2 distills into specific takeaways: a plenary with three recent national coordinators runs short on time but signals policy momentum; a hands‑on FHIR… | ||
| From CDA to FHIR: Responding to COVID19 | Doug Seven | 21m |
A U.S. city health department aggregates lab reports and emergency department CCDs, converts them to FHIR using the open source FHIR Converter (influenced by… | ||
| Bringing the .NET SDK to the cloud | Ewout Kramer | 02h 03m |
Firely turns the .NET FHIR validator into an AWS Lambda function, shipping compiled .NET DLLs plus a precompiled conformance archive (CAR) that converts IG npm… | ||
| Isomer | Nikolai Ryzhikov | 46m |
Isomer is a bi-directional schema transforms language that describes edits to source schemas and auto-generates both forward and reverse data transformations… | ||
| Introduction to FHIRPath | Mirjam Baltus | 48m |
FHIRPath is a concise tree-walking language used for extraction, validation and search indexing; examples show navigation like patient.name.given, filtering… | ||
| Accelerating your Implementation Guide Production | José Costa Teixeira | 02h 01m |
A practical recipe for mass-producing IGs: clone an HL7 Belgium GitHub template, edit ig.xml and package ids, add a local template with package.json to… | ||
| NHSNLink: A CDC Application for COVID Medication Data | Daniel Pollock MD, Rick Geimer | 21m |
Vendor-neutral reference implementation that queries inpatient EHRs over FHIR to capture medication exposure, authenticates via OAuth2/SMART conventions, runs… | ||
| Events with FHIR: a Simplified Way to Unify Health Data | Myles Bell | 21m |
A company unifies siloed patient records by publishing every data change as event streams using schemas derived from FHIR profiles but simplified to required… | ||
| Leveraging Provenance to Maintain Traceability while Achieving Interoperability | Sam Schifman | 21m |
Diameter Health converts messy inbound CCD/CCDA data into normalized FHIR resources, then preserves a byte-for-byte copy of the original as a FHIR resource and… | ||
| SMART V1 +V2 Granular Controls | Josh Mandel | 01h 48m |
Overview of the SMART on FHIR platform including the new SMART v2 scope language that replaces read/write with CRUDS scope letters and lets servers attach FHIR… | ||
| International Patient Summary (IPS) - Moving from Specification to Implementation | Robert Hausam | 46m |
The IPS specification is live and teams move toward real implementations: a GDHP goal targets 10 countries by end of year and 20 countries with 10 in… | ||
| Expanding Payer-Provider Landscape in FHIR | Viet Nguyen, MD | 45m |
Da Vinci shows concrete outputs: 11 published IGs with reference implementations, sandboxes and connect-a-thon test beds; STU1 payer data exchange, formulary… | ||
| Developing Patient Access APIs at scale | Himanshu Chavda | 15m |
Google Cloud Healthcare API pipelines ingest batch CSV claims and CPCDS/CDA, convert to NDJSON in Cloud Storage, map and validate to CARIN Blue Button, US Core… | ||
| The PACIO Project and Transitions Between Acute and Post-Acute Care | Dave Hill | 44m |
CMS-sponsored PACIO defines FHIR IGs and reference implementations to move post-acute data (notably 45% of Medicare beneficiaries need PAC) across settings… | ||
| Ceci n'est pas un pipeline | Mark Iantorno | 18m |
Automated CI/CD replaces a manual release process for the core FHIR libraries and produces snapshot builds, immutable releases and published artifacts for the… | ||
| Mapping FHIR to OMOP Using Open Source Tools | Vivian Neilley, Sebastiaan van Sandijk | 47m |
Demonstrates an open source pipeline that takes FHIR STU3 transaction bundles from a HAPI test server, runs a configurable FHIR-to-OMOP converter (deployed… | ||
| Map CDA to FHIR and Back with FHIR Mapping Language | Oliver Egger | 46m |
Shows that CDA documents map to FHIR and back by modeling CDA as a CDA Logical Model as StructureDefinitions, writing maps in the FHIR Mapping Language and… | ||
| NY Statewide Centralized FHIR Connector Implementation and Challenges | Dheeraj Kumar Pal | 17m |
New York eHealth Collaborative (NYeC) builds a statewide FHIR Central Service (FCS) that connects multiple RHIOs and the statewide MPI, completes a 2020–21… | ||
| Analyzing FHIR Data Using ML and Analytical Tools | Ranvijay Kumar | 19m |
Explains why FHIR needs flattening for analytics and lists concrete pitfalls: deeply nested arrays, choice types, modifier extensions that change meaning… | ||
| IEEE 11073-10206 - a FHIR Compatible Model for Personal Health Devices | Erik Moll | 41m |
Defines IEEE 11073-10206 “ACOM”: a compact, FHIR-mappable object model for personal health devices carried in binary over constrained transports (Bluetooth LE… | ||
| FHIR Bulk Data API + What's New in v2.0 | Dan Gottlieb | 46m |
FHIR Bulk Data v2.0 delivers an async export workflow that actually ships large datasets as per-resource ndjson required baseline files with a transactionTime… | ||
| Development and Testing Strategies | Grahame Grieve | 46m |
Explains that FHIR provides concrete tooling—Happy, Java/.NET validators, Inferno, Touchstone, Cynthia and terminology servers—and makes specific claims: use a… | ||
| The SMART Cumulus Text-to-FHIR NLP Pipeline | Timothy Miller | 23m |
This pipeline containerizes Apache cTAKES behind a Dockerized REST server, pulls notes via the FHIR Bulk Data API, maps cTAKES semantic types into FHIR… | ||
| Panel: State Implementation of Patient Access API | Kelly Taylor, Micah Jones | 45m |
Federal rule forces Medicaid, MA, CHIP and FFE QHP issuers to serve adjudicated claims, provider directory and formulary data via FHIR R4 APIs and SMART/OAuth… | ||
| The British Re-Invasion! Music & Entertainment | Dave Rudolf | 01h 21m |
It’s The British Re-Invasion! We are lucky to be welcoming multi-award winning singer/songwriter Dave Rudolf to our DevDays stage! Fasten your seatbelt for… | ||
| Argonaut: Patient Lists | Eric Haas | 48m |
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… | ||
| Newborn Weight Tool (NEWT) on FHIR | Eric Meeks | 17m |
A SMART on FHIR app connects the NEWT API to EHR data to show hour-by-hour newborn weight nomograms so clinicians can spot risky weight loss without leaving… | ||
| Let's Build! Da Vinci Implementer Tools | Viet Nguyen, MD | 46m |
Da Vinci claims over a dozen FHIR implementation guides (about 11 listed) with ~50 members and published reference/sample apps on GitHub, plus a CMS HIPAA… | ||
| Accelerate Quality: Building FHIR that Meets Federal Mandates | Richard Ettema | 45m |
Federal rules require FHIR conformance to specific Implementation Guides and the FHIR Testing Framework uses executable TestScript resource definitions to… | ||
| Don't Forget About the List Resource! | Nic Lorenzen | 19m |
Argues that the FHIR List resource doubles as a lightweight metadata and state store: used in production to cache EMR patient lists (fetched via legacy… | ||
| The IsiK Project of the German National Digital Health Agency | Marco Wedekind | 21m |
Gematik runs the IsiK project to reduce integration cost by publishing FHIR profiles for common hospital scenarios and modularizing them into small… | ||
| FHIR Registry & Packages | Ward Weistra | 02h 01m |
Shows exactly how a FHIR package is built, versioned and published: a gzipped tarball ( .tgz ) that contains a single package folder with a package.json… | ||
| CMS: Data at the Point of Care | Anna-Noelle Routh, David Greene | 30m |
Pilot API returns Medicare Part A/B/D claims via FHIR Bulk Export, delivering patient, ExplanationOfBenefit and Coverage records as NDJSON EOB files. Version 2… | ||
| CDS Hooks | Dennis Patterson | 46m |
Vendor-agnostic API for remote decision support that sends JSON “cards” in response to EHR events, using TLS, signed JWTs and FHIR access tokens; discovery at… | ||
| Quality Improvement with CQL and FHIR: Care Gaps and Near Real-Time Data Submission | Samuel Sayer | 37m |
Demonstrates CQL run against FHIR-based measures (QI-Core / DEQM) with a browser TypeScript gaps‑in‑care service that returns DataRequirements via the… | ||
| Argonaut: SMART Web Messaging | Carl Anderson | 44m |
SMART Web Messaging standardizes HTML5 postMessage API use to let embedded SMART apps control EHR UI and exchange ephemeral state (shopping‑cart style) using a… | ||
| FHIR on the Command Line with Firely Terminal | Martijn Harthoorn | 13m |
Command-line demo of Firely Terminal shows installing the cached US Core package, reading the same patient from two servers and finding they differ, validating… | ||
| Building FHIR Apps with Typescript | Brian Kaney | 50m |
Publishes TypeScript FHIR definitions to DefinitelyTyped (R2, R3, R4) using the FHIR COGEN generator, shows a working $extract implementation that compiles… | ||
| Implementing Provider Directory APIs | Dharmesh Patel | 23m |
Reference implementation converts public CMS/NPPES CSVs into a validated FHIR store: files land in Google Cloud Storage, run through Dataflow (Apache Beam)… | ||
| Advanced FHIR Shorthand and Tools | Chris Moesel | 46m |
FSH introduces concrete authoring features: soft indexing replaces explicit array numbers with + and =, and parameterized rule sets let reusable blocks accept… | ||
| Thinking in FHIR: The Curious Case of the Encounter++ | Sasha (Alexander) Volkov, Maidul Islam | 44m |
Legacy HL7 V2/CDA messages map to FHIR resources (Patient, Encounter, DiagnosticReport, Observation, DocumentReference/Binary, Account, Coverage) and the… | ||
| Exploring FHIR Performance Benchmarking | Steven Johnston | 26m |
Prototype Python client benchmarks FHIR servers using requests and tinydb, loading 1,000 patients and initialization bundles, running create/read/update/delete… | ||
| Plenary Session | Ewout Kramer, Allan Mustard, Grey Faulkenberry | 41m |
One keynote recounts mapping a city with OpenStreetMap resulting in 11,500 roads and 8,000+ POI names added, 90% of streets named, 650,000 ground-level images… | ||
| Plenary Session | Ewout Kramer, Elizabeth Olson, Amandine Le Pape, Katie McCurdy | 39m |
Matrix reports 33 million users and more than 76,000 deployments with bridges to Slack, Teams, WhatsApp and over 27 programming languages in its ecosystem… | ||
| Closing Session | Michael Wang, e-Patient Dave, Grahame Grieve | 01h 03m |
Defines access logs as time-stamped events recording who viewed which patient data and shows three concrete findings: interns generate click activity implying… | ||
| Plenary Session | John Halamka, Brian Anderson, John Manning, Chris Brancato | 54m |
Five short briefings show what FHIR actually does: using FHIR for pandemic situational awareness and rapid testing data exchange, running real‑world evidence… | ||
| nothing matches | ||