This page is part of the Da Vinci Clinical Documentation Exchange (v0.1.0: STU 1 Ballot 1) based on FHIR R4. The current version which supercedes this version is 1.1.0. For a full list of available versions, see the Directory of published versions 
Introduction
Purpose
The CDex Implementation Guide (IG) defines combinations of exchange methods (push, pull, subscribe), specific payloads (Documents, Bundles, and Individual Resources), search criteria, conformance, provenance, and other relevant requirements to support the exchanges of clinical information between provider and other providers and/or payers.
The IG provides specific guidance showing patterns of exchange so that providers and payers can reliably exchange information for patient care (including coordination of care), risk adjustment, and quality reporting, and other uses that may be documented as part of this effort. Clinical data payloads include C-CDA, C-CDA on FHIR, compositions, bundles, specific resources, and bulk data exchange. This list is intended to be illustrative and not prescriptive.
Background
The Clinical Data Exchange (CDex) IG is part of a set of IGs developed to support eHealth Record Exchange requirements identified by the Payer community. The set of IGs includes the Da Vinci Health Record Exchange (HRex) IG which establishes a framework for supporting information exchange, the Payer Data Exchange (PDex) IG which focuses on exchanging data available in Payer systems, the Data Exchange for Quality Measures (DEQM) which establishes a framework for supporting quality measure data exchange, and the CDex IG which focuses on exchanging data available in Provider systems.
Value Proposition
The goal of this implementer guidance is to rapidly improve available computer processing methods that can be used between payers, providers, and service supplier systems. The project will accelerate the shift toward value-based care and support value-based reimbursement models. More efficient and effective exchange of health record information will improve coordinated care and network performance, increase operational efficiencies, improve delivery of patient care and care outcomes, and reduce the burden of quality reporting.
