IHE SDC is the format of the College of American Pathologists (CAP) electronic Cancer Checklists (eCC). These checklists are used to capture essential information about cancer diagnosis for patient care, registry, and research use cases. Consistently representing this information in FHIR resources is essential for interoperability and processing by larger entities such as cancer registries. Ultimately this guide could be used to develop new methods of submitting data to cancer registries, most of which currently rely on HL7 2.5.1 North American Association of Central Cancer Registry (NAACCR) Volume V. Using FHIR will enable easier use of modern tooling, better search capabilities, and closer alignment to other reporting tools which leverage FHIR, in pathology and other medical domains. This project will aim to port over the Simplifier IG IHE SDC on FHIR, which describes how to convert a CAP (eCC) and other IHE SDC forms to FHIR Observations. The guide also describes how to transport IHE SDC forms using the DocumentReference resource, similar to a C-CDA document or PDF. The original Simplifier IG does not use DiagnosticReport, but this resource would be added to the IG as part of this project. The current Simplifier IG also only describes transformation to Observation, and this project would expand this to include a definition based extraction which will be leveraged by PSS-1682 Cancer Electronic Pathology Reporting ( https://jira.hl7.org/browse/PSS-1682 ). The Integrating Cancer Reporting Scenario in the Public Health Connectathon Track has tested these transformations and transport methods in several FHIR and IHE Connectathons and found them to be viable with the existing and planned future use cases for eCCs and NAACCR use cases. This project provides an opportunity for better alignment across the pathology space through FHIR and increased interoperability between different formats used in pathology, and other medical domains, such as radiology. Improved coordination through FHIR could facilitate better information sharing and therefore improve patient care. The following text is background modified from: https://simplifier.net/guide/SDConFHIR/Introduction This implementation guide will describe how to use IHE Structured Data Capture (SDC) Forms with FHIR. Specific resources used include the DocumentReference, Observation, and DiagnosticReport. The aim of this proposal is to create a specified format for IHE SDC to be transported through FHIR, using the DocumentReference, and/or transformed into FHIR resources using the Observations and DiagnosticReport. IHE SDC primarily supports pathology use cases, and would enable access to a large amount of structured data. This project will deliver descriptions of how to attach IHE SDC forms to DocumentReferences, and mappings for data extraction to other resources including the Observation and DiagnosticReport. It will also include further development of the IHE SDC on FHIR parser to better enable these transformations. These deliverables will be usable by anyone who has or intends to implement any products that use the IHE SDC technical framework and enable better interoperability with FHIR SDC. Note: 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:     IHE SDC Technical Framework     HL7 FHIR SDC Profile 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.