Catalog

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.

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

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.

Guidance for initiating and sustaining this project and outlines steps needed to set up electronic messaging with partners

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.