Introduction to USCDI

An overview of USCDI and how it applies to digital quality measurement.

Purpose of the Guide

This guide is an overview of the United States Core Data for Interoperability (USCDI) and its application in digital quality measurement, particularly for HEDIS® reporting. It was designed for health care professionals, IT specialists and stakeholders in quality measurement and data interoperability, and offers practical steps and resources for utilizing USCDI.

Understanding USCDI

Happy group of business people discussing strategy during team meeting at the office desk together

What Is USCDI?

USCDI is a standardized set of health data classes and constituent data elements that the health care ecosystem (e.g., clinicians, health information systems) uses to ensure consistent and accurate exchange of health information across systems and settings.

Who Developed USCDI?

USCDI was developed and adopted by the Assistant Secretary for Technology Policy (ASTP) on behalf of the U.S. Department of Health and Human Services (HHS). USCDI is incorporated into regulations from both ASTP and the Centers for Medicare & Medicaid Services (CMS), underscoring its significance in national health IT strategies.

Why Was USCDI Developed?

USCDI replaces the Common Clinical Data Set (CCDS) as part of ASTP’s efforts to enhance health data interoperability. It addresses the need for a standardized framework that supports consistent exchange of health information. Its aim is to enhance interoperability, improve care coordination, support health IT initiatives and ensure that health care practitioners, payers and partners can share critical patient information efficiently and accurately. The transition from CCDS to USCDI reflects expansion and refinement of the data elements required for health information exchange.

There are three guiding principles for USCDI:

  1. Define a core set of structured and unstructured data essential for supporting patient care and enabling patient access through health IT.
  2. Create a consistent foundation of harmonized data elements that can be applied across use cases, including those beyond direct patient care and access.
  3. Evolve through a predictable, transparent, collaborative approach, considering both the expected benefits and the broader impact on the health care industry.

What Is USCDI’s Relevance to Quality Programs?

USCDI supports quality measurement initiatives by providing a baseline-standardized dataset and associated vocabulary standards that facilitate accurate, consistent data exchange. For quality programs and health information exchange use cases, implementation of USCDI is supported by standards and guidelines, including FHIR® US Core profiles. Standardized data elements from USCDI are utilized in HEDIS digital measure specifications (via FHIR) to define clinical concepts, which helps ensure that quality measures are based on comparable and commonly defined data across health care practitioners and settings.

USCDI Versions

Each USCDI version builds on the previous one by adding new data elements and classes, and refining definitions or vocabulary standards based on stakeholder feedback. For example, USCDI v1 includes essential data classes like patient demographics and clinical notes, while subsequent versions expand to include additional elements such as social determinants of health (SDOH) and health status assessments.

Update Process

Creation of new USCDI versions is a structured, multi-step process managed by ASTP.

1. Call for Data Element Submissions

During the yearly submission period, stakeholders can propose new data elements or revisions to existing ones.

2. Review and Evaluation

New data elements are evaluated based on their relevance to patient care, feasibility of implementation and potential impact on improving health care interoperability and quality.

3. Release of Draft Version

After evaluation, ASTP releases a draft version of the new USCDI for public comment. This draft includes proposed new data elements and revisions to existing ones.

4. Public Comment

The draft version is available for public feedback, allowing stakeholders to express support, suggest changes or raise concerns about proposed updates. This period typically lasts several months.

5. Review and Revision

ASTP reviews the feedback and may revise the draft USCDI based on stakeholder input.

6. Publication of Final Version

ASTP publishes the final version of the updated USCDI on its website.

7. Ongoing Updates

This iterative process includes annual updates, allowing continuous improvement and adaptation of the USCDI to meet the changing needs of the health care landscape.

USCDI Updates Over Time

Annual USCDI updates reflect the evolving needs of health care interoperability. Updates incorporate new data elements and respond to stakeholder feedback, which may result in changes to existing elements. ASTP typically releases a draft version of USCDI in January, and a final version in July.

A view of USCDI updates over time shows the progression from USCDI v1 to the latest versions, highlighting the addition of new data classes and elements. This overview helps stakeholders understand the evolution and improvements made in each version.

  • USCDI v1 is required by Cures Act Final Rule; it comprises 16 data classes, including patient demographics, medications, laboratory, vital signs, clinical notes and provenance.
  • USCDI v2 added 3 data classes and 22 data elements, including sexual orientation and gender identity (SOGI) and SDOH elements in support of advancing health equity.
  • USCDI v3 added 2 new data classes and 24 additional data elements focused on addressing equity, disparities and public health data interoperability.
  • USCDI v4 and v5 continued to expand data classes and elements, but are not yet ASTP-required versions.

Summary of Data Classes and Data Elements USCDI v1 vs. USCDI v3

USCDI Version 1 is required under the Cures Act Final Rule. Certified health IT must support the data elements defined in USCDI v1 to facilitate standardized exchange of key health information.

USCDI v1 Summary

USCDI Version 3 is expected to be required starting on January 1, 2026, per the HTI-1 Final Rule. Health IT vendors may voluntarily upgrade to newer versions not yet required by regulations, through the Standards Version Advancement Process (SVAP).

USCDI v3 Summary

What’s the Standards Version Advancement Process (SVAP)?

The SVAP is a critical element of ASTP’s strategy to foster a more agile and responsive health IT environment, allowing continuous improvement in health care technology while maintaining compliance with federal standards. Under the SVAP, once ASTP approves a newer version of a standard or implementation specification, health IT developers can choose to integrate it into their certified systems before they are required to by federal regulations. This reduces lag time between release of a new standard and its adoption in the market, ensuring that health IT systems can quickly take advantage of improvements in data sharing and interoperability. This approach also accelerates availability of updated and more effective health IT solutions for clinicians and patients.

Key Components of USCDI

USCDI has two main parts, as defined by the ASTP:

  1. A data class—an aggregation of data elements by a common theme or use case.
  2. A data element—a portion of data defined in USCDI for access, exchange or use of electronic health information.

A data element in the USCDI typically includes specific information to guide its implementation and use in health IT systems. This information is often a definition, use notes or examples and, in some cases, associated vocabulary standards. These components ensure that the data element is understood and used consistently across systems, enhancing interoperability.

Data Class Examples

Patient Demographics/Information

Data used to categorize individuals for identification, record matching and other purposes. Includes essential information about the patient such as name, date of birth, race, ethnicity and gender identity. Accurate demographic data are crucial for patient identification and health equity.

Procedures

Activities performed as part of care delivery. Include details about medical procedures performed and SDOH interventions.

Laboratory

Analysis of clinical specimens to obtain information about a patient’s health. Includes the lab test and the value or result, which are vital for diagnosis and treatment planning.

Medications

Pharmacologic agents used in diagnosis, cure, mitigation, treatment or prevention of disease. Information on medications, including drug names, dosages and fill status, supports medication safety and appropriate treatment.

Clinical Notes

Narrative patient data relevant to the context identified by note types. Encompass progress notes, discharge summaries and relevant clinical documentation that provide a comprehensive view of the patient’s health status and care history.

Health Status Assessments

Assessments of a health-related matter of interest, importance or worry to a patient, the patient's family or the patient's health care provider that could identify a need, problem or condition.

Example of Data Elements

While data classes are related data elements, the elements themselves are the most granular level where data are exchanged, as shown in the example below.

Data ClassData Elements
Health Status Assessments Assessments of a health-related matter of interest, importance or worry to a patient, the patient's family or the patient's health care provider that could identify a need, problem or condition.
  • Health Concerns Health-related issue or worry (e.g., weight gain, cancer risk).
  • Functional Status Assessment of a patient's capabilities or their risks of development or worsening of a condition or problem (e.g., fall risk, pressure ulcer risk, alcohol use).
  • Disability Status Assessment of patient's physical, cognitive, intellectual or psychiatric disability (e.g., vision, hearing, memory, activities of daily living).
  • Mental/Cognitive Status Assessment of a patient's level of cognitive functioning (e.g., alertness, orientation, comprehension, concentration, immediate memory for simple commands).
  • Pregnancy Status State or condition of being pregnant or intention to become pregnant (pregnant, not pregnant, intent to become pregnant, unknown).
  • Smoking Status Assessment of a patient's smoking behaviors.

About USCDI+

USCDI+ is designed to accommodate data needs that exceed standard USCDI. It allows inclusion of additional data elements or classes tailored to the unique requirements of federal agencies and stakeholders within the health care system, building on USCDI’s baseline set of data elements for nationwide interoperability. Some advantages of this approach are:

  • Customization for Specific Needs. USCDI+ enables organizations—federal agencies, in particular—to define additional sets of standardized data elements that are critical to specific use cases. This ensures that data exchanged meet the precise needs of programs and initiatives for one use case while harmonizing and aligning across other use cases, where appropriate.
  • Enhanced Interoperability. By expanding the standard USCDI to include specialized data elements, more comprehensive data exchange across health IT systems is enabled and standardized, leading to better coordination of care, improved public health reporting and more effective research outcomes.
  • Flexibility and Scalability. USCDI+ provides a flexible framework that can be adapted as new data needs arise. This scalability allows continuous evolution of health IT systems to accommodate emerging priorities such as advances in medical research or public health surveillance.
  • Alignment With Federal Priorities. USCDI+ supports federal health programs by aligning data exchange requirements with national health priorities, ensuring that data collected and shared are relevant to the goals of federal initiatives such as improving population health, advancing equity or enhancing health care quality.

USCDI+ Domains

DOMAIN

ABOUT

Public Health

Data element lists have been developed, or are in development, to support the following use cases:
  • Case reporting.
  • Laboratory data exchange.
  • Risk factors and drivers of inequity health equity.
  • Resource reporting and situational awareness.

Quality

The USCDI+ Quality data element list supports a range of quality measurement use cases. One initial focus is supporting CMS electronic clinical quality measures (eCQM). This USCDI+ domain also supports CMS’s Data Element Library, AHRQ Common Formats and NCQA HEDIS measures.

Cancer

Focuses on the following use cases:
  • Clinical trial recruitment/matching
  • Immune related adverse event (irAE) tracking in immunotherapy trials.
  • Enhance efficiency and timeliness of collecting cancer registry data.
  • Enhancing Oncology Model (EOM) alignment.

Behavioral Health

Supports federal partners (e.g., Substance Abuse and Mental Health Services Administration [SAMHSA]):
  • Guides adoption and use of interoperable mental health and substance use disorder health IT standards and digital health technologies.
  • Provides technical expertise to SAMHSA in developing and implementing health IT technologies to support its mission.
  • Focuses on data-modernization principles of reducing reporting burden, improving data quality and measuring of program services and outcomes for SAMHSA grantees.

Maternal Health

Focuses on how maternal health could impact outcomes in both mother and child. Goals include:
  • Assess the experience of maternal health patients in accessing electronic health records.
  • Identify consistent set of data elements and lab tests required for prenatal screening for prevention of mortalities/co-morbidities for mother and child.
  • Provide patients with information to empower them to request better care and help them identify preventable risks.

Getting Started With USCDI

Keep these tips in mind as you plan your implementation process.

Planning and Preparation

Begin with a comprehensive plan that includes setting clear goals, timeline and responsibilities. Engage stakeholders early to ensure buy-in and support.

Mapping Data Elements

Align existing data systems with USCDI data elements and associated implementation guides to ensure compatibility. Review current data structures and map them to the appropriate elements.

Ensuring Data Quality and Completeness

Implement processes to maintain high data quality and completeness, including regular data audits, validation checks and staff training.

Utilizing Tools and Resources

Use resources such as FHIR US Core Implementation Guide and crosswalks from USCDI to US Core profiles to streamline the implementation process.

Related Resources