Back to top
Top
U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

QI-Core – Quality Improvement Core

Quality Improvement Core (QI-Core) is a Health Level Seven International® (HL7®) implementation guide that defines a set of Fast Healthcare Interoperability Resources® (FHIR) profiles that support successful creation of interoperable and quality-focused applications including Electronic Clinical Quality Measures (eCQMs) and Clinical Decision Support (CDS) artifacts. US Core profiles are used as a foundation when designing QI-Core profiles. US Core is a set of profiles that define minimum constraints on FHIR resources to ensure interoperability within the US health care system, ultimately improving ease in sharing and understanding health information.

Health Care Quality: Benefits of QI-Core Alignment with US Core

Standardization and Interoperability

QI-Core is designed to standardize the capture, reporting, and comparison of health care quality metrics across various providers and systems. By aligning with US Core, QI-Core facilitates interoperability, allowing different health care organizations to more easily share and compare data. This interoperability is essential for effective communication among health information systems, enabling better tracking and reporting of health care quality, which ultimately leads to improved patient outcomes.

Patient-Centric Focus

Both QI-Core and US Core prioritize patient care by providing a unified framework that helps health care organizations incorporate quality measures into patient care processes. This integration has the potential to decrease implementer burden and allow health care providers to concentrate on delivering high-quality care, thereby enhancing the overall patient experience.

Data-Driven Decision Making

With QI-Core based on US Core, health care organizations can make better decisions using reliable primary clinical data to identify areas for improvement, track progress over time, and make data-driven decisions that enhance care quality.

Transition to Value-Based Care

The alignment of QI-Core with US Core supports the shift towards value-based care, where patient outcomes and care effectiveness are central to reimbursement rather than the number of services provided.

Both QI-Core and US Core enhance health care by establishing clear standards, facilitating effective data sharing, and offering practical tools that enable organizations to assess and improve the quality of care they deliver. QI-Core’s alignment with US Core makes these processes even more effective.

From QDM to QI-Core: Advancing FHIR-Based Measures

QI-Core is a pivotal component of the ongoing harmonization efforts aimed to align specification development for quality measures, particularly eCQMs and CDS artifacts. The profiles in this implementation guide derive from and extend the US Core profiles to provide a common foundation for the creation, sharing, and evaluation of knowledge artifacts that support quality improvement efforts in the US.

QI-Core replaces the Quality Data Model (QDM) as the conceptual framework for constructing quality measures. It introduces identifies specific FHIR-based categories, datatypes, and attributes that facilitate this process. Each QI-Core version includes guidance on authoring and retrieving data for measurement and CDS artifact usage. Each version also provides mapping between the conceptual data model used for eCQMs in CMS programs (QDM version 5.6), and the respective version of QI-Core.

Measure Authoring Tools

To assist measure authors in using QI-Core and Clinical Quality Language (CQL), the Measure Authoring Development Integrated Environment (MADiE) tool is available. This tool streamlines the process of authoring measures, ensuring adherence to the standards set forth by QI-Core. Visit the MADiE webpage for more information.

Measure authors use the National Library of Medicine (NLM) Value Set Authoring Center (VSAC) to define the sets of codes (i.e.: value sets) used in measure logic to identify patient populations of interest. Visit the NLM VSAC Help page for more information.

QI-Core Updates

The integration with US Core is essential for ensuring measures and CDS artifacts use data that maintains consistent meaning during routine data capture and sharing (interoperability). The Assistant Secretary for Technology Policy (ASTP)/Office of the National Coordinator for Health Information Technology (ONC) defines requirements by publishing the United States Core Data for Interoperability (USCDI) versions. Each QI-Core version builds upon the newest US Core version, which is based upon the current USCDI version. For example, QI-Core 6.0 builds upon US Core version 6.1.0, which incorporates USCDI version 3, required for clinical vendor certification effective January 2026.

QI-Core offers a variety of tools and resources that facilitate the implementation and understanding of quality improvement standards in health care systems. The following resources can help you better understand the standard and how to implement it:

QI-Core Implementation Guide

The QI-Core standards are located on the HL7 Website: Quality Improvement Core (QI-Core Implementation Guide.

The QI-Core Implementation Guide provides detailed profiles, resources, and specifications necessary for implementing quality improvement measures using the Fast Healthcare Interoperability Resources (FHIR) framework. You can access the guide here.

GitHub Repository

The source code and documentation for QI-Core profiles are available on the QI-Core GitHub repository.

FHIR Package Registry

The QI-Core Implementation Guide is listed on the FHIR Package Registry, where you can find the necessary profiles and extensions that guide the implementation of quality-focused applications. Explore the FHIR Package Registry.

Cross-Referencing with Other Models

Resources that outline the relationships between QI-Core, the Quality Data Model (QDM), and Clinical Quality Language (CQL) are available to help practitioners understand how these frameworks interconnect to support quality measurement efforts. More information can be found on the eCQI health IT webpage.

Comparing QI-Core to QDM

Comparing QI-Core and QDM reveals the unique roles each plays in the landscape of health care quality measurement and improvement. Here is an explanation of the differences between the two:

QI-Core Focuses on Interoperability vs. Data Definition

QDM focuses on the conceptual information used in quality measurement, standardizing the definition and relationships of data elements. QI-Core aligns with QDM and focuses on data interoperability using FHIR by building on the US Core standard and adding context required to enable proactive clinical decision support (CDS) and to evaluate and measure clinical and operational performance. Further, QI-Core harmonizes data requirements for quality measurement with those defined for CDS.

QI-Core Offers Implementation Guidelines

QI-Core offers specific implementation guidelines and profiles for executing quality improvement initiatives, whereas QDM outlines the foundational data concepts necessary for creating eCQMs without delving into interoperability.

QI-Core Provides More Usage Opportunities

QI-Core is often used in environments where there is a need for real-time data exchange and application of quality measures, such as in health information exchange networks. In contrast, QDM is more focused on the foundational elements that researchers and developers would utilize when designing eCQMs.

QI-Core Supplies QDM Mapping to QI-Core

The QI-Core Implementation Guide provides direct mapping of all QDM concepts to their representation in QI-Core, considering all QDM categories and attributes. Measure developers can use the mapping outlined on the QDM to QI-Core page of the IG to provide additional context for expressing QDM-based measures and to convert such measures to the QI-Core FHIR model. Implementers can use this mapping to understand in greater detail what data must be retrieved and evaluated to analyze care and report results for QDM-based measures.

Educational Videos and Webinars

  • Writing Measures in QI-Core: A Closer Look YouTube Video Short - February 2022
  • Representing Encounters in QI-Core YouTube Video Short - April 2022
  • Other QI-Core and FHIR-related content can be found here.

QDI User Group

HL7 QI-Core Activities

Last Updated: Dec 09, 2024