Catalog

Introduction to FHIR for Research is a three-hour training course that aims to provide NIH research scientists and program officers with an understanding of how FHIR could impact their research, and how they can take advantage of it. This webinar covers the background and context of FHIR, what data and tools are available, and examples of research using FHIR. It is broken into three parts:

Part 1: Background and Context of FHIR
This section provides essential background and context on FHIR, including the history and evolution of the standard, its relation to similar frameworks, and its components and data structure.

Part 2: The FHIR Ecosystem
After discussing FHIR background, we'll next turn to discussing the broader ecosystem of FHIR systems and capabilities practitioners can hope to leverage. This section will explore the extent of systems, tools, and applications available to users.

Part 3: Working with FHIR
We will now explore a detailed set of applications for FHIR starting with a sampling of recent FHIR uses in both industry and academia. We will then provide a series of case studies leveraging both Python and R to demonstrate how FHIR can be used to extract and utilize medical data.

This document is a companion to Section 1D of the Building Blocks Guide. It describes the steps required for HL7 message definition and provides additional information on the tools and topics discussed in the Guide, including the Implementation Workbook and the Message Validation Template.

A first-time attendee video for the HL7 FHIR Connectathon describes hands-on FHIR development and testing. The first two hours focus on an overview of FHIR, profiling, and implementation guides. The third hour is focused on what to expect at HL7 FHIR Connectathons. Time stamps for specific topics are provided below:
FHIR 101
6:10 FHIR Timeline
13:04 Regulatory drivers behind FHIR
13:35 Basics of FHIR (Overview)
15:45 Benefits of FHIR
17:35 Navigating the Specification
20:00 Resources
22:50 Profile
24:45 Extensions
26:45 FHIR Operations
28:00 Terminology
29:05 Modules
30:30 Scenario Example
32:30 Resource Content
34:20 Terminology Bindings
35:30 Search Parameters
36:10 Example Resource
37:30 References between Resources
40:15 Structure and Coding
41:40 Value Sets
43:00 Profiling
44:30 REST and APIs, SMART on FHIR
47:50 CDS Hooks
48:50 Bulk Data Access
49:00 CQL

How to Read an IG
53:00 Why do we need implementation guides?
54:00 What is an FHIR Implementation Guide?
54:50 Navigating the FHIR Implementation Guide
58:40 Homepage
59:40 Framework/Guidance
1:00:00 Use Cases/ Examples
1:02:50 FHIR Artifacts
1:04:10 Profiles
1:09:30 Slicing
1:10:45 Conformance
1:12:00 Terminologies
1:13:50 Operations
1:16:10 Capability Statement
1:18:25 Tips and Tricks
1:22:00 Where do you find FHIR IGs?

US Core Profiles
1:27:40 Cures Act Final Rule
1:29:00 Argonaut Project
1:32:10 US FHIR Core
1:34:30 Argonaut vs US Core
1:36:00 Profile-less FHIR
1:39:30 Profile Deep Dive
1:43:00 US Core Patient
1:44:50 Value Sets
1:47:30 US Core Capability Statement
1:48:30 Extensions
1:49:00 US Core and USCDI
1:51:45 Standards Version Advancement Process (SVAP)
1:54:00 USCDI ONDEC
1:55:20 Journey to US Core
2:01:30 Inferno
2:02:30 Future of Argonaut and US Core
2:04:50 Data vs Narrative

FHIR Testing, Tools, and Heading to a Connectathon
2:11:15 Interoperability Challenges
2:13:00 The 5 “Ws”
2:23:50 Testing with Touchstone
2:42:20 Connectathon Testing Experience

Healthcare organizations have many reasons for bulk-data export, such as populating a data warehouse for operational or clinical analytics, leveraging population health and decision support tools from external vendors, and submitting data to registries and regulatory agencies. Today, bulk export is often accomplished with proprietary pipelines, and data transfer operations frequently involve an engineering and field mapping project. Learn about an exciting new effort by SMART and HL7 to bring the FHIR standard to bear on these challenges of bulk-data export.

This presentation reviews the history of the laboratory orders (LOI) and results (LRI) implementation guides in general, some of the common aspects shared between them and how these standards are used together

This presentation discusses how the laboratory orders (LOI) and results (LRI) implementation guides are written and some of the ways they are different from other v2 standards.

This presentation discusses how the values sets used by the laboratory orders (LOI) and results (LRI) implementation guides are documented.

This presentation describes the use cases encompassed by the laboratory orders (LOI) implementation guide and details some of the unique features of the profiles defined in the standard.

This presentation describes the use case encompassed by the laboratory results (LRI) implementation guide and details some of the unique concepts in the standard including snapshot mode and parent-child linkages

This presentation describes some of the technical constraints included in the profiles used by the laboratory results (LRI) implementation guide.

Resources resulting from a Public Health FHIR Implementation Collaborative workshop include a high-level overview of FHIR, a more in-depth review of the rules, regulations, and policy framework behind interoperability, and a workshop summary.

These FHIR Fact Sheets are a collaborative effort to help educate and demystify FHIR. These fact sheets summarize the key technical concepts that make up the foundation of FHIR, how it is developed in an open and public process, and why FHIR adoption has become the focus of the health IT standards world.

Allows public health laboratories to assess strengths and gaps in informatics capability by addressing 19 critical operational areas

A General Introduction to FHIR, presented by Richard Ettema at HL7 FHIR DevDays, June 2018, Boston, MA

The interoperability of data, and delivery of a consistent level of data quality, are critical factors in the National Digital Health Strategy – both for quality of immediate care, and for the development of longer-term health strategies. This is the first of a three-part webinar series looking at interoperability and clinical terminologies, with a particular focus on the Fast Healthcare Interoperability Resources (FHIR), a key standard for interoperable data in Australia.

This video presentation will explore the details of how FHIR resources are defined and used. We'll walk through examples to see how the FHIR standard is implemented to exchange real-world data.

This video presentation will review the latest HL7 interoperability standard, FHIR. We'll put FHIR into context relative to other HL7 products and examine how FHIR defines resources to represent a variety of different healthcare entities and events. We'll also discuss how Public Health programs

In this presentation, we will be introducing the different HL7 product families that are used to exchange clinical data.

This course provides information on the role and processes of laboratory informatics through exploration of the “life of a result” as data and results move through the laboratory and outside the laboratory. Topics covered include characterization of the recipients of laboratory data, data and results storage, and the communication of data and results (especially electronically) to various stakeholders

This basic-level eLearning course provides an overview of the Laboratory Information Management System (LIMS) – also known as a Laboratory Information System – and other information systems that play a key role in laboratory informatics. Included in the course are explorations of LIMS functionality, the role of the LIMS in interoperability, various regulations and standards regarding information systems and laboratory data, and the steps in implementing a LIMS.

This course provides information on the role and processes of laboratory informatics through exploration of the “life of a specimen” as a specimen moves through the laboratory. Topics covered include the roles of various personnel in the laboratory informatics enterprise, data relationships, data quality, and standards, and the generation and flow of information as a specimen progresses through the pre-analytic, analytic, and post-analytic phases.

An overview of the FHIR interoperability standard and how it may be applied to a Public Health use case