Connectathons are a great opportunity to work directly with FHIR developers and kick the tires of your own FHIR server or application.
The purpose of a Connectathon event is to engage in testing of the FHIR specification and implementations. This environment demands preparation to participate in technical discussions, code review, and testing of a reference implementation or your own FHIR-based system. All participants are welcome and will be encouraged to actively prepare and participate
Anybody technical will benefit from seeing first hand how data is handled according to the FHIR standard.
Having some basic understanding of FHIR is helpful or alternatively an understanding of the business process involved.
If you're interested in the future of healthcare technology, you won't want to miss our upcoming discussion on HL7 FHIR ePI. HL7 FHIR ePI (electronic Product Information) is an initiative for structuring medicinal product information and medicinal product labelling that have the potential to greatly improve how medicine information is exchanged and utilized. By joining our discussion, you'll have the opportunity to hear from experts in the field, ask questions, and share your own insights and ideas. Whether you're a healthcare professional, a tech enthusiast, or just curious about the latest innovations in the industry, this discussion is not to be missed!
The track is supported by the EU IMI Project Gravitate Health, the EU funded project UNICOM and supports the ePI pilot project at the European Medicines Agency.
Track Objective is to test and gather feedback on the following:
1. Intro to the ePI and IPS – basics and connection between them
2. Searching ePI and IPS documents
3. Linking of terminologies and clinical to regulatory terminology.
4. Semantic Annotation
5. Persona Dimensions as FHIR artifacts
This guide defines the FHIR building blocks to meet use cases which will eventually mature the minimal set of common resources and elements. It identifies the minimal set of EHR-based information needed to answer a small set of research questions and creates a set of FHIR profiles for representing this needed information in an EHR.
With an Implementation Guide just balloted, the Real World Data track wants to test its two major use cases - Cohort Creation and Finding Patient Data.
We want to test if we can find patients that meet a set of cohort criteria and then, using the results of the cohort, retrieve patient data to see if it meets the needs of the research goals. We are looking for servers with medical patient data that can be queried and clients that can query the patient data using the Acute Coronary Syndrome use case documented in the IG.
The core of this project is to define a usable pattern for a Clinical Trial Schedule of Activities structure using FHIR Resources and Processes, such that:
Topics to be worked on include:
Research Study Dataset (SoA)
there is a need for realistic sample study data covering the planning, execution and outcome of Study activities
Investigational Product Administration
is a key intervention that can define many other study activities, sometimes very directly (eg PK study) or more indirectly (eg Screening versus Treatment Epochs)
Up until to now the Study Design has been limited to pure 'happy path' implementation; we now need to look at data points required when there are variations from the happy path.
The use of FHIR to express eligibility criteria has been limited but using the EvidenceVariable Resource to express complex characteristics multiple examples were demonstrated to confirm the expressivity of complex eligibility criteria for clinical trials.
Recently, the recognition of the need for standard methods to express individual characteristics for findability, re-usability, and interoperability across cohort definitions (eligibility criteria, phenotypes, quality measures, prior authorization, etc.) and across developers of cohort definitions (e.g. searching a library of characteristics for re-use) led to a Characteristic FHIR Resource Proposal.
In this Connectathon Track, we will introduce these developments, demonstrate the use of the EvidenceVariable and Characteristic Resource to structure cohort definitions, and help participants apply these resources to fit eligibility criteria of interest.
Vulcan FHIR Accelerator
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