IHE Structured Data Capture (SDC) on FHIR uses a form driven workflow to capture and encode data by creating FHIR Observations from the captured data. The primary use case for this implementation guide is point of care reporting for clinicians using structured forms to capture high quality data for care and reporting purposes. Structured data can enable easier auto-population of future medical documents, easily queriable data, and high quality reporting for quality measurement and evaluation, and research.
The SDC initiative was established by the ONC in 2013 to develop two implementation guides:
On March 30, 2017 both initiatives transitioned into community led projects focused on data capture. The ideal scenario is that data captured in any manner can exist in FHIR for maximum interoperability. Both initiatives focus on improving data capture within healthcare. The CAP has already developed and implemented IHE SDC for their collection of electronic Cancer Checklists (eCCs), and being able to extract data from these cancer checklists to create FHIR Observations will enhance interoperability.
This FHIR implementation guide is based on FHIR R4.
This implementation guide specifies a pattern of use for IHE SDC with applicable FHIR resource to enable use of data captured from IHE SDC forms within FHIR. This guide supports:
- Creation of structured data in FHIR
- Use of that data
Common use cases:
Use cases for IHE SDC on FHIR include:
- Public health reporting (e.g. Cancer Registry reporting)
- Quality measurement and evaluation
- Clinical guideline concordance evaluation
- Auto-population of future forms
|Joel Francis||Canada Health Infoway|
|Alex Goel||Ontario Health (Cancer Care Ontario)|