Plain Language Summary goes here

Introduction

Healthcare industry has embraced FHIR as the standard for data exchange and has been implementing FHIR in the real-world as part of the various accelerators such as Argonaut, DaVinci, Helios. The adoption of FHIR has been further expedited by the ASTP/ONC and CMS regulations which require the implementation of FHIR for multiple use cases. One of the competing requirement that is emerging in the industry is the need for data which does not contain PHI/PII. These requirements are common among Federal Reporting use cases such as HRSA Uniform Data System (UDS) reporting, Public Health reporting to CDC, data needs for training AI models, data needs for research programs. This implementation guide creates a set of profiles for USCDI resources that can be used to exchanged deidentified and anonymized information in the US. The initial set of resources that have been profiled are based on the HRSA UDS program and will be enhanced as new use cases get added.

This Implementation Guide (IG) defines the data structures (profiles) using which Federal Agencies such as HRSA, SAMSHA and others can receive line level deidentified and/or anonymized infomration. The IG defines profiles to represent and exchange

• Deidentified Patient data using FHIR Resources
• Anonymized Patient data using FHIR Resources

The main sections of this IG are:

• Background - The page provides introduction and definitions for deidentification, psuedonymization and anonymization.
• Use Cases - Defines the use case, workflows, actors and systems that will be used as part of the IG.
• FHIR Artifacts - Defines the FHIR Artifacts for the IG.
• Downloads - Allows downloading a copy of this implementation guide and other useful information

Relationship to other Implementation Guides

This section elaborates the relationship of this IG to other implementation guides

Relationship to US Core Implmentation Guide

This implementation guide, leverages terminology from US Core. The profiles are not derived from US Core since the profiles eliminate many of the data elements that are mandatory in US Core profiles. Hence this IG is aligned with US core in terms of terminology only.

Relationship to De-identification, Anonymization and Redaction Toolkit Services (DARTS) Implmentation Guide

This implementation guide complements the the DARTS Implmentation Guide by defining the data structures (profiles) to represent deidentified and anonymized data. DARTS services consume identiable information and produce deidentified or anonymized information and use the DAPL profiles to represent the output produced by each DARTS service.

Relationship to Data Segmentation for Privacy (DS4P) Implmentation Guide

DS4P IG specifies the tags,labels,obligations to be used to protect patient privacy of patients' data. DAPL IG on the other hand aims to remove PHI/PII from the data structures. Implementers of this IG can leverage any existing DS4P mechanisms if needed as part of the DAPL profiles and data exchanges containing DAPL profiles.

Relationship to HRSA UDS+ Implmentation Guide

HRSA UDS+ IG defines the specific content and APIs for Health Centers to report data to HRSA annually. UDS+ will be reusing services from DARTS IG to create deidentified content and the DAPL IG profiles to represent deidentified content.