An official website of the United States government

Here’s how you know

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

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.

ASTP Logo
Skip Navigation
  • Topics
      • Featured
        • Featured

        • Certification of Health IT

          Ensures health IT meets standards for functionality, security, and interoperability.

        • Information Blocking

          Regulations ensuring health data is shared appropriately without improper barriers.

        • Interoperability

          Enables secure and seamless exchange of electronic health information among authorized users.

        • Health Information Technology Advisory Committee (HITAC)

          Advises on policies, standards, and implementation specifications for health data and technology.

        • United States Core Data for Interoperability (USCDI)

          Offers a standardized set of health data classes and constituent data elements for nationwide, interoperable health information exchange.

        • Trusted Exchange Framework & Common Agreement (TEFCA)

          Operates as a nationwide framework for the interoperability of electronic health information.

      • Artificial Intelligence
        • Artificial Intelligence

        • Artificial Intelligence (AI) at HHS

          HHS’ list of AI use cases is publicly available to search and reference. In addition to AI use case summaries, the inventory also includes information on data, IT infrastructure, internal governance, and much more.

      • Care Continuum
        • Care Continuum

          Explore the roles of health information and technology in broad healthcare settings, supporting seamless, coordinated patient care from prevention through recovery.

        • Care Settings

        • Behavioral Health

          Health information, policies, and technology supporting integrated care for mental health and substance use disorders.

        • Emergency Medical Services

          Rapid response and communication during health emergencies through health information and technology.

        • Long-Term & Post-Acute Care

          Health information and technology facilitating coordinated care beyond acute settings.

        • Maternal & Pediatric Care

          Technology addressing unique health needs of mothers and children.

        • Pharmacy & PDMP

          Electronic tools tracking controlled substance prescriptions to improve patient safety.

        • Public Health

          Using health information and technology to prevent disease, diagnose health conditions, and promote population health.

        • Clinical Topics

        • Clinical Quality & Safety

          Optimal care through measuring results, prioritizing improvements, and implementing and monitoring results.

        • Usability & Provider Burden

          Promotes health information and technology usability to reduce clinician burden and enhance patient care.

      • Interoperability
        • Interoperability

          Promotes standardized exchange and use of electronic health data to improve patient care, coordination, and public health outcomes.

        • Health IT Interoperability

          Enables secure and seamless exchange of electronic health information among authorized users.

        • Trusted Exchange Framework & Common Agreement (TEFCA)

          Facilitates secure, nationwide electronic health information sharing to connect providers, patients, public health agencies, and payers.

        • Certification of Health IT

          Provides certification criteria for developers of health IT modules that ensures health IT products meet the standards for functionality, security, and interoperability.

        • Standards & Technology

          Advance healthcare quality and safety through standardized health IT and secure health data exchange.

        • Information Blocking

          Prevents practices that interfere with the access, exchange, or use of electronic health information, as defined by the Cures Act.

        • Interoperability Standards Platform

          Serves as a homepage for tools and resources for understanding and using health IT standards and technologies.

        • Investments

          Support interoperability improvements nationwide.

        • Health IT & Health Information Exchange Basics

          Enable secure electronic sharing and access of patient health information, supporting healthcare providers and patients across care settings.

        • Patient Access to Health Records

          Ensure patients have secure and convenient access to their health records, supported by healthcare providers and health IT developers under HIPAA.

      • Policy
          • Policy

            Outlines federal regulations and strategic initiatives guiding effective use and secure exchange of electronic health information.

            • Legislation

              Delivers improvements in the delivery and experience of health care while enhancing health outcomes by leveraging health information technology.

            • Regulations

              Supports the adoption and promotion of standards-based health information.

            • TEFCA

              Operates as a nationwide framework for the interoperability of electronic health information.

            • HHS Health IT Alignment Program

              Coordinates health data and technology initiatives across HHS to enhance interoperability and effectiveness.

            • Health Information Technology Advisory Committee (HITAC)

              Advises on policies, standards, and implementation specifications for health data and technology.

            • Privacy & Security

              Protects electronic health information security through policy.

          • Rulemaking

          • HTI Rules

            Health data interoperability regulations ensuring secure, effective technology use.

          • Information Blocking

            Policies to prevent practices interfering with the access, exchange, and use of electronic health information.

          • Certification Program Rules

            Ensures health IT meets standards for functionality, security, and interoperability.

      • Research & Analysis
        • Research & Analysis

          Interactive datasets related to health IT data analysis, providing insights into adoption and use.

        • Dashboards

          Gives data-driven insight on how dashboards are driving health IT adoption and how they have helped users to meet federal healthcare incentives or programs.

        • Data Briefs

          Provides health IT adoption and use statistics derived from surveys and administrative data and in-depth analysis of health IT policies and programs.

        • Datasets

          Grants access to raw datasets from ASTP related to health IT adoption, health IT capabilities and other topics.

        • Quick Stats

          Streamlines data into visualizations of key data and summarizes the latest statistics, facts and figures about health IT.

        • About Health IT Research & Analysis

          Provides information about how health IT data are collected, analyzed, and published.

  • Resources & Tools
      • Featured
        • Featured Resources & Tools

          Highlights key tools and guidance supporting effective health IT implementation, interoperability, patient engagement, and compliance with federal standards.

        • Interoperability Standards

          ASTP’s initiatives in health data standards enable secure electronic health data exchange.

        • TEFCA Resources

          Data sheets, videos, and documents to guide users of the TEFCA framework and exchange.

        • Implementation Resources

          Technical resources and tools supporting healthcare providers, clinicians, and developers of health IT products.

        • Health IT Playbook

          Strategies, recommendations, and best practices for implementing and using health data and technology.

        • Security Risk Assessment Tool

          Desktop application supporting providers conducting HIPAA security risk assessments.

        • Patient Engagement Playbook

          Practical reference tool for clinicians, staff, and other innovators around the world to improve patient engagement.

        • Certified Health IT Product List (CHPL)

          A comprehensive and authoritative listing of successfully tested and certified health IT modules.

        • Conformance Test Tools & Edge Testing Tool

          Resources for developers implementing standards to enable health information interoperability.

        • Health IT Feedback Form

          Users can submit feedback regarding health data and technology usability, interoperability, and compliance issues.

      • Resources
        • Resources

          Collection of practical materials, videos, educational tools, and user guides designed to support successful implementation and adoption of health IT systems.

        • Get It, Check It, Use It Guide

          A guide for patients and caregivers who want to access, review, and use their health records.

        • Video Resources

          A repository of informational videos created by ASTP.

        • Health IT Curriculum Resources for Educators

          Instructional materials to help healthcare workers stay current in the changing healthcare environment and deliver care more effectively.

        • Fact Sheets

          A repository of fact sheets created by ASTP.

      • Tools & Technology
          • Implementation

          • Certified Health IT Product List

            A comprehensive and authoritative listing of successfully tested and certified health IT modules.

          • Electronic Clinical Quality Improvement Resource Center

            Provides common standards and shared technologies to monitor and analyze the quality of health care and patient outcomes.

          • Security Risk Assessment Tool

            Desktop application supporting providers conducting HIPAA security risk assessments.

          • Tools

          • Edge Testing Tool

            A centralized collection of testing tools and resources supporting health IT developers and users fully evaluating specific technical standards.

          • Conformance Test Tools

            ONC-approved conformance resources supporting developers implementing standards to enable health information interoperability.

          • Get It, Check It, Use It Guide

            A guide for patients and caregivers who want to access, review, and use their health records.

          • Quick Links

          • Certification & Testing
          • USCDI
          • USCDI+
          • Interoperability Standards Platform (ISP)
          • FHIR
          • ASTP Standards Bulletins
          • Patient ID & Matching Adopted Standards for HHS
  • News & Events
      • Media Center
      • ASTP Blog
      • News
      • Events
      • Featured Blogs & News

      • TEFCA’s growing, are you in? Take a look at who’s participating in TEFCA Exchange

        TEFCA’s growing, are you in? Take a look at who’s participating in TEFCA Exchange

        We are pleased to announce that the beta version of an interactive, searchable map for TEFCA™ participation is now available. The map released today is another example of our commitment to transparency.

        ASTP/ONC Rule Creates Prescription Drug Cost Transparency, Eases Administrative Burden, and Speeds Access to Care

        ASTP/ONC Rule Creates Prescription Drug Cost Transparency, Eases Administrative Burden, and Speeds Access to Care

        ASTP/ONC released a final rule enabling the use of certified EHRs to submit prior authorizations, select drugs consistent with a patient’s insurance coverage, and exchange electronic prescription information with pharmacies and insurance plans.

        USCDI v6 and Standards Bulletin 25-2

        USCDI v6 and Standards Bulletin 25-2

        The United States Core Data for Interoperability Version 6 (USCDI v6) is now available! USCDI v6 includes an updated list of data classes and elements that seek to advance health data in a way that will benefit users of health IT. We also released the latest Standards Bulletin, which describes ASTP’s continued expansion of USCDI.

  • About
      • Overview
        • About ASTP

          Mission, role, and responsibilities of ASTP.

        • Leadership

          Profiles of ASTP’s senior leadership team.

        • History

          Timeline of ASTP’s evolution and key milestones.

        • Budget & Performance

          Financial reports and performance accountability.

        • Investments

          Strategic investments in programs, policies, and technology.

        • Reports to Congress

          Annual health data and technology progress updates to Congress.

      • Careers
        • Careers at ASTP

          View opportunities with ASTP.

        • Working at ASTP

          Overview of workplace culture and employee experience.

      • Contact
        • Contact Us

          Reach ASTP with general inquiries.

        • Health IT Feedback Form

          Users can submit feedback regarding health data and technology usability, interoperability, and compliance issues.

        • Report Issue with Certified Health IT

          Complaint process to resolve any issues of potential noncompliance with certification requirements.

        • Information Blocking Claim

          Form to report alleged information blocking practices.

        • Speaker Request

          Form to request ASTP experts for speaking engagements.

      • Funding Opportunities
        • Funding Announcements

          ASTP’s contractors and grantees play a valuable role in helping promote better health care for Americans by fostering interoperable health data and technology.

        • Grants Management & Process

          Learn about opportunities for funding through grants and cooperative agreements.

Popular searches: certifications information blocking interoperability

Health IT Research & Analysis

    • Data Types
    • Categories
    • Sort By
Data Briefs iconData Briefs

Standards Adoption Among Health Information Exchange Organizations

No. 75 | October 2024
  • Standards Adoption Among Health Information Exchange Organizations [PDF – 280.6 KB]
  • Data Brief 75 Figure 1 [PNG – 65.56 KB]
  • Data Brief 75 Figure 2 [PNG – 43.95 KB]
  • Data Brief 75 Figure 3 [PNG – 40.93 KB]
  • Data Brief 75 Figure 4, 4a, and 4b [PNG – 163.11 KB]
  • Data Brief 75 Figure 5 [PNG – 42.01 KB]
Link to Page Icon Link to Page
  • Overview

Health information technology standards are used in the health care industry to facilitate the capture and exchange of information.1 Health information exchange organizations (HIOs) are state and regional networks that enable electronic exchange of health information across their participants, which may include health care providers, public health agencies, payers, and other health care entities. HIOs’ adoption and conformance to standards is critical to enable the seamless sharing of information among their participants and across networks to ensure that information can be easily integrated once received.2 Understanding how HIOs use standards can inform public and private efforts to promote better coordination on standards development, implementation, and conformance. As there are various standards in use across health IT for storing and transporting data, we surveyed HIOs nationwide to assess current adoption and use of various standards, including the United States Core Data for Interoperability (USCDI) and Health Level 7 (HL7®) Fast Healthcare Interoperability Resources (FHIR®). This brief reports on the share of HIOs in 2023 that electronically send and receive data using these standards, and the range of data elements they make available to network members.

Highlights

  • A majority of HIOs routinely sent and received HL7 Version 3 Clinical Document Architecture (CDA) documents and HL7v2 messages.
  • On average, HIOs made more than two-thirds of data elements from USCDI versions 1-4 available to participating organizations.
  • HIOs were more likely to send data (or make data available) that adhere to USCDI v1 or v2, but less likely to receive data from participants that adhere to USCDI v1 or v2.
  • Nearly half (46%) of HIOs mapped from non-standard laboratory test or result codes to LOINC codes when accessing data from labs.
  • Over half of HIOs that have mapped from non-standard laboratory test or result codes to LOINC codes reported they have not experienced any issues with LOINC mapping.

A majority of HIOs routinely sent and received CDA documents and HL7v2 messages.

Findings

  • More than 90% of HIOs reported that they routinely or sometimes sent or made available to and received CDA documents from their participants.
  • More than 80% of HIOs reported that they routinely or sometimes sent (or made available) and received any type of HL7 v2 messages.
  • Ninety percent of HIOs routinely received data from their participants in the format of HL7 v2 admission, discharge, and transfer (ADT) messages.
  • About one-fifth of HIOs routinely or sometimes sent or made data available and received data via HL7 FHIR APIs.

Figure 1: Percentage of HIOs that reported routinely or sometimes sending or making data available and receiving data from their participants, by approach.

Figure 1 is a bar chart consisting of four groups, each representing different approach for sending and receiving data: CDAs, HL7 v2 messages (any type), ADT (for applicable participants), and HL7 FHIR APIs. Each group has two bars showing percentages for sending and receiving data and by frequency. 
CDAs: 68% send routinely, 25% send sometimes, 63% receive routinely, and 27% receive sometimes.
HL7 v2 messages (any type): 71% send routinely, 12% send sometimes, 78% receive routinely, and 10% receive sometimes.
ADT: 0% send, 90% receive routinely, 6% receive sometimes.
HL7 FHIR APIs: 15% send routinely, 7% send sometimes, 11% receive routinely, 6% receive sometimes.
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: N=68 for send/make data available, 9 missing responses were excluded from the denominator. N=63 for receive, 14 missing responses were excluded from the denominator. “HL7 FHIR APIs” include respondents who selected HL7 FHIR messages (DSTU2), HL7 FHIR Release 3 (STU) messages, or FHIR v.4.0 messages. See Appendix Table A1 for survey questions and Appendix Tables A2 and A3 for more details.

HIOs, on average, reported making more than two-thirds of data elements included* in the USCDI standard available to participating organizations.

Findings

  • Based on an analysis of data elements made available by HIOs (see Appendix Table A4) to participating organizations and included in USCDI versions 1-4, HIOs on average made available 73% of those data elements included in USCDI v1, 72% of those data elements included in v2, and 67% of those data elements included in versions 3-4. 
  • Among all data elements included in the survey, HIOs made available immunizations (92%), problems (90%), vital signs (90%), and encounters (90%) data elements to participating organizations at the highest rates.
  • Among all data elements included in the survey, HIOs made available, substance use disorder (39%), diagnostic imaging order (51%), and care plan (51%) data elements to participating organizations at the lowest rates.

Table 1: Data elements made available by HIOs and included in USCDI versions 1-4, ranked by frequency, and the average rate of data element availability by USCDI version.

Data ElementUSCDI Versions% of HIOs
Most Frequently Made Available (Top 4)
Immunizations1, 2, 3, 492%
Problems1, 2, 3, 490%
Vital Signs1, 2, 3, 490%
Prescribed Medications1, 2, 3, 487%
Least Frequently Made Available (Bottom 3)
Substance Use Disorder439%
Diagnostic Imaging Order—51%
Care Plan Fields1, 2, 3, 451%
USCDI Version(s) Average Rate of Availability of Data Elements
Data elements included in version 173%
Data elements included in version 2 72%
Data elements included inversion 3/4 67%
Data elements included in versions 1-467%
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: This table reflects an analysis of data elements asked about in survey question Q4 mapped to USCDI versions 1-4; this survey question does not include the full list of USCDI data elements. See Appendix Table A1 for question text and the Methods section for more details on the analysis/mapping and its interpretation. See Appendix Table A4 for a full list of data elements asked by the survey, the USCDI versions these data elements are included in, and the proportion of HIOs that reported making each data element available to participating organizations.

One in three HIOs routinely received data that adhere to USCDI v1 or v2 from participants.

Findings

  • Twenty-two percent of HIOs reported sometimes receiving data that adhere to USCDI v1 or v2 from participants from participants.
  • Few HIOs reported rarely (11%) and never (2%) receiving data that adhere to USCDI v1 or v2 from participants.
  • Thirty percent of HIOs responded that they don’t know if data received from participants adhere to USCDI v1 or v2.
Figure 2 is a bar chart that shows the percentage of HIO respondents that reported receiving data that adhere to USCDI v1 or v2 from their participants. The x-axis displays frequency categories ranging from “routinely/from most participants”, “sometimes/from some participants”, “rarely/from few participants”, “never”, and “don’t know”. The y-axis displays percentages from 0-35%. The bars indicate that 33% of HIO respondents indicated “routinely/from most-participants”, 22% indicated “sometimes/from some participants”, 11% indicated “rarely/from few participants”, 2% indicated “never”, and 30% indicated “don’t know”.
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: N=63. 14 missing responses were excluded from the denominator. See Appendix Table A1 for survey questions. See Methods section for further details.

Forty-four percent of HIOs routinely sent or made data that adhere to USCDI v1 or v2 available to participants.

Findings

  • Few HIOs reported sometimes (10%) and rarely (5%) sending or making data that adhere to USCDI v1 or v2 available to participants.
  • Eight percent of HIOs reported never sending or making data available to participants that adhere to USCDI v1 or v2.
  • Twenty-nine percent of HIOs reported that they don’t know if data sent or made available to participants adhered to USCDI v1 or v2.

Figure 3: Percentage of HIOs that reported sending or making data that adhere to USCDI v1 or v2 available to participants.

Figure 3 is a bar chart that shows the percentage of HIO respondents that reported sending or making data that adhere to USCDI v1 or v2 available to participants. The x-axis displays frequency categories ranging from “routinely/to most participants”, “sometimes/to some participants”, “rarely/to few participants”, “never”, and “don’t know”. The y-axis displays percentages from 0-50%. The bars indicate that 44% of HIO respondents indicated “routinely/to most participants”, 10% indicated “sometimes/to some participants”, 5% indicated “rarely/to few participants”, 8% indicated “never”, and 29% indicated “don’t know”.
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: N=63. 14 missing responses were excluded from the denominator. See Appendix Table A1 for survey questions. See Methods section for further details.

Nearly half (46%) of HIOs map from non-standard laboratory test or result codes to LOINC codes.

Findings

  • Forty-six percent of HIOs map from non-standard laboratory test or result codes to LOINC codes.
  • Among HIOs that are mapping to LOINC codes, a majority reported having to map all or most (33%) or some (40%) non-standard laboratory test or result codes to LOINC codes.
  • Among HIOs that are mapping to LOINC codes, 1 in 5 reported having to map few (17%) or no (3%) laboratory test or result codes from non-standard codes to LOINC codes.

Figure 4: Percentage of HIOs that map from non-standard laboratory test or results to LOINC codes and the extent to which HIOs reported having to map laboratory results.  

Figure 4a. Does your HIE map from non-standard laboratory test/result codes to LOINC codes?

Figure 4b. If yes, within the past year, to what extent did your HIE have to map those results from non-standard codes to LOINC codes?

Figure 4 contains two panels with Figures 4a and 4b. Figure 4a is entitled, “Does your HIE map from non-standard laboratory test/result codes to LOINC codes?”, and displays a pie chart showing the portion of HIO respondents that indicated “Yes” (46%), “No” (40%), and “Don’t know” (14%) in response to this question. The second panel (4b), entitled “If yes, within the past year, to what extent did your HIE have to map those results from non-standard codes to LOINC codes?”, displays a pie chart that shows among those respondents who indicated that their HIE maps from non-standard laboratory test/result codes to LOINC codes (46% from figure 4a), the portion of respondents that indicated
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: Figure 4a: N=65, 12 missing responses were excluded from the denominator. Figure 4b: N=29, 1 missing response was excluded from the denominator. See Appendix Table A1 for survey questions.

Among HIOs that have mapped from non-standard laboratory test or result codes to LOINC codes, over half reported they have not experienced any issues with LOINC mapping.

Findings

  • More than 1 in 5 HIOs reported lacking resources to map or maintain LOINC mapping.
  • A smaller portion of HIOs reported insufficient expertise to map to LOINC (10%) and that LOINC tools were too difficult to use (3%).

Figure 5: Issues HIOs report with LOINC mapping from non-standard codes.

Figure 5 is a horizontal bar chart that shows the percentage of HIO respondents that indicated experiencing a variety of issues with LOINC mapping from non-standard codes. The x-axis displays percentages ranging from 0% to 60%, representing the percentage of HIO respondents, and the y-axis lists each of the following issues (or lack thereof) experienced with LOINC mapping: “Have not experienced any issues”, “Lack resources to map and/or maintain mappings to LOINC”, “Insufficient expertise to map to LOINC within organization”, “Other”, and “LOINC tools too difficult to use.” The horizontal bars displayed indicate that 55% of HIO respondents indicated not having experienced any issues. Meanwhile, 21% reported that they “Lack resources to map and/or maintain mappings to LOINC”, 10% reported that they have “Insufficient expertise to map to LOINC within organization”, 10% indicated that there was some “Other” issue with LOINC mapping from non-standard codes, and 3% reported that “LOINC tools [were] too difficult to use.”
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: N=29. 1 missing response was excluded from the denominator. See Appendix Table A1 for survey questions.

Summary

HIOs are commonly used by U.S. hospitals to electronically send and receive summary of care records.(1, 2) The results from this national survey could help inform future standards development and implementation efforts to improve electronic health information exchange. In this brief, we discuss two main types of standards used in health care — content standards and terminology standards. Content standards, such as HL7 v2 and C-CDA, are used to describe the structure and organization of the data, while terminology standards (e.g. LOINC) are used to communicate health concepts using a common set of codes, terms, and classifications.5 In 2023, HIOs widely used document-based exchange to facilitate the sharing of data for its participants. More than 90% of HIOs reported that they routinely or sometimes received and sent (or made available) CDAs. While a majority of HIOs routinely received and sent (or made available) HL7 v2 messages, only a small portion of HIOs reported routinely using HL7 FHIR APIs to receive and send data (or make data available). A majority of HIOs reported receiving HL7 v2 ADT messages, which may be used to enable electronic notifications from hospitals and emergency departments to ambulatory clinicians. Although HIOs have a long history of receiving ADT messages, the high percentage of HIOs receiving HL7 v2 ADT message may also be partly explained by the Centers for Medicare & Medicaid Services’ (CMS) Interoperability and Patient Access final rule’s requirement for the electronic exchange of patient ADT information for psychiatric hospitals, critical access hospitals, and Medicare Conditions of Participation.

In addition to facilitating the movement of data, standards enable encoding of data in a structured format. In the survey, HIOs were asked if they made a list of data elements available to their participating organizations (see Table 1 and Appendix Table A4). As part of our analysis, we mapped these data elements to USCDI versions 1-4 to determine the extent to which HIOs made USCDI-adopted data elements available to participating organizations. Among data elements mapped to the USCDI standard, HIOs, on average, reported making more than two-thirds of these data elements from each USCDI version available to participating organizations. Among all data elements included in the survey, the data elements with the highest rate of HIO availability to participating organizations are immunizations (92%), problems (90%), vital signs (90%), and encounters (90%).

Building on this, we then looked at overall use of the USCDI standard for data received by HIOs from participating organizations and by HIOs when making data available to their members. About 4 in 10 HIOs routinely sent data (or made data available) that adhere to USCDI v1 or v2, and 33% routinely received data from their participants that adhere to USCDI v1 or v2, indicating that HIOs were more likely to send data (or make data available) that adhere to USCDI v1 or v2, but less likely to receive data from participants that adhere to USCDI v1 or v2. Together, these findings show that HIOs are likely to make data elements mapped to USCDI available, but HIOs are less likely to make them available as adhered to USCDI’s semantic standards requirements, and even less likely to receive these data elements from their participants in a standardized manner. Overall, there is a wide range in level of support for standards among HIOs,3 which may explain why many HIOs (around 30% on average) reported not knowing if the information they received or sent (or made available) adhere to USCDI’s semantic standards requirements, indicating a lack of awareness and use of USCDI.

Beyond the general exchange of data, laboratory results that conform to data standards are critical for data precision and quality within EHRs, laboratory information systems, and for public health reporting and surveillance.4 Examining the extent to which HIEs have these data encoded and the barriers associated with this process could inform future efforts to promote laboratory interoperability.5

LOINC codes offer a consistent naming convention for the exchange of laboratory data fields, which minimizes ambiguity in the interpretability of data fields received by a care system. Having a consistent naming convention thus allows data received to be read and integrated properly into electronic health information systems.6 Nearly half (46%) of HIOs reported mapping from non-standard laboratory test or result codes to LOINC codes. This finding suggests that many HIOs may be encountering the use of local codes by laboratories rather than the widespread use of LOINC. Among HIOs that mapped local codes to LOINC codes, a majority did not experience any issues with LOINC mapping but were mapping all, most, or some non-standard laboratory test or result codes to LOINC codes within the past year. However, some HIOs who have mapped from non-standard laboratory test or result codes to LOINC codes reported lacking resources to perform LOINC mapping, having insufficient expertise to map to LOINC codes, or that LOINC tools were too difficult to use. This suggests that available resources might not be adequate to assist most local health care systems in adopting LOINC codes. Our findings demonstrate the need to support laboratories in their use of LOINC and thereby reduce the need for HIOs and other networks to map from local codes to LOINC.

Definitions

HL7 v2 ADT messages: HL7 v2 ADT (Admit, Discharge and Transfer) messages are used to communicate patient demographics, visit information and patient state at a healthcare facility.

Clinical Document Architecture (CDA): A base standard which provides a common architecture, coding, semantic framework, and markup language for the creation of electronic clinical documents.

Continuity of Care Record (CCR): All certified EHRs can generate and receive a Continuity of Care Document (CCD) or Continuity of Care Record (CCR), standard formats for exchanging key clinical information (for example, problem list, medication list, medication allergies, diagnostic test results) among providers of care and patient authorized entities.

Health Information Exchange (HIE): Ability to electronically send or receive patient health information from other providers outside their medical organization using an EHR system or query any patient health information from sources outside of their medical organization.

Health Information Exchange Organizations (HIOs): Local, regional, and state organizations operating in the United States that supported live electronic health information exchange across unaffiliated entities. This does not include local proprietary or enterprise networks.

Interoperability: The ability of a system to exchange electronic health information with and use electronic health information from other systems without special effort on the part of the user.

Logical Observation Identifiers Names and Codes (LOINC Codes): A universal code system for identifying health measurements, observations, and documents. These codes represent the “question” for a test or measurement. LOINC codes can be grouped into Laboratory and Clinical tests, measurements and observations.7,8

United States Core Data for Interoperability (USCDI): A standardized set of health data classes and data elements for nationwide, interoperable health information exchange.9

USCDI Data Class: An aggregation of various data elements by a common theme or use case.9

USCDI Data Element: Piece of data defined in USCDI for access, exchange, or use of electronic health information.9

Data Sources and Methods

Data are from the 2023 National Health Information Organization (HIO) Survey. Since 2020, the Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT (hereafter ASTP) has partnered with Civitas Networks for Health (Civitas) to examine how HIOs continue to evolve and the role they play in enabling interoperability, as it relates to the broader scope of various policies such as the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 and the Trusted Exchange Framework and Common Agreement (TEFCA). ASTP funded the 2023 HIO Survey, led by Julia Adler-Milstein, PhD, Professor and Director of the Division of Clinical Informatics and Digital Transformation at University of California San Francisco (UCSF).

In the survey (see Appendix Table 1 for a list of the relevant questions), HIOs were asked about data elements (see Appendix Table A4) they made available to their members (Q4) and, separately, to what extent they received (Q2) and sent (or made available) (Q5) data using the USCDI standard. In Table 1, we report results from an analysis of these data elements from USCDI versions 1-4, as this analysis preceded the publication of USCDI version 5. The mapping does not reflect all data elements adopted by USCDI versions 1-4 but rather only maps those data elements asked about in the survey to these USCDI versions. Consistent with Executive Order 14168 the sexual orientation, and gender identity data elements have been removed from this data brief. In Figures 2 and 3, we report the results of HIOs’ responses to Q2 and Q5. Responses indicate the extent to which HIOs receive and send (or make available) data using the USCDI standard, specifically, USCDI versions 1 and 2, which, at the time the survey was finalized, were the only published versions of the standard. The two analyses are presented as complementary and present a deeper assessment of HIOs’ use of standards and availability of certain data elements through their networks.

Leadership from 135 HIOs were invited to participate in the survey with the option to complete via the online survey tool Qualtrics© or over the phone if preferred. Non-respondents received follow-up emails and one phone call to encourage response. As with prior years, respondents were offered a $50 gift card for completing the survey or a $10 gift card if they were screened out. 45 HIOs were ineligible for the survey. This brief report results from the 2023 National HIO Survey, which was fielded from January to July 2023. The response rate for national HIOs was 86 percent (N = 77). The responding HIOs operated in 47 states and the District of Columbia.

Data Availability

Data is available upon request. Please contact ASTP_Data@hhs.gov.

References

  1. Boone KW. Health IT Standards 101: Healthcare IT News; 2012 [Available from: https://www.healthcareitnews.com/blog/health-it-standards-101].
  2. Parker C, Reeves M, Weiner M, Adler-Milstein J. Health Information Exchange Organizations and Their Support for Research: Current State and Future Outlook. 2017(0046-9580 (Print)).
  3. The Office of the National Coordinator for Health Information Technology. 2023 Report to Congress. 2024.
  4. Pylypchuk Y, Everson J. Interoperability and methods of exchange among hospitals in 2021. Washington DC: Office of the National Coordinator for Health Information Technology January 2023.
  5. Cholan RA, Pappas G, Rehwoldt G, Sills AK, Korte ED, Appleton IK, et al. Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories. Journal of the American Medical Informatics Association. 2022;29(8):1372-80.
  6. Regenstrief Institute. What LOINC is: Regenstrief Institute, Inc.; [Available from: https://loinc.org/about/].
  7. Regenstrief Institute. Scope of LOINC: Regenstrief Institute, Inc.; [Available from: https://loinc.org/get-started/scope-of-loinc/].
  8. HIMSS. Interoperability in Healthcare [Available from: https://www.himss.org/resources/interoperability-healthcare].
  9. The Office of the National Coordinator for Health Information Technology (ONC). United States Core Data for Interoperability. 2020.

Acknowledgments

The authors are with the Office of Technology, within the Office of the Assistant Secretary for Technology Policy and Office of the National Coordinator for Health Information Technology. The data brief was drafted under the direction of Mera Choi, Director of the Technical Strategy and Analysis Division, Vaishali Patel, Deputy Director of the Technical Strategy and Analysis Division, and Wesley Barker, Chief of the Data Analysis Branch with subject matter expertise from Carmela Couderc, Molly Prieto, and Matt Rahn.

Suggested Citation

Chang W, Larson J, Strawley C. Standards Adoption among Health Information Exchange Organizations. Office of the Assistant Secretary for Technology Policy. Data Brief: 75. September 2024.

Appendix

Appendix Table A1: National HIO Survey Questions 

Question TextResponse Options
Implementation and Use of Standards
Q1. To what extent does your HIE electronically receive data from your participants using the following approaches listed below?

For each of the following options:

  1. Care summaries in a structured format (e.g., CDA, CCR, C32)
  2. HL7 v2 messages (any type)
  3. ADT (for applicable participants)
  4. HL7 Fast Healthcare Interoperability Resources (FHIR) (DSTU2)
  5. HL7 FHIR Release 3 (STU)
  6. FHIR v.4.0

Respondents were asked to select among these frequency options:

  1. Routinely/From most participants
  2. Sometimes/From some participants
  3. Rarely/From few participants
  4. Never
  5. Don’t Know
Q2. To what extent is the information that you receive from your participants consistent with different versions of the United States Core Data for Interoperability (USCDI)?

For each of the following options:

  1. USCDI v1
  2. USCDI v2

Respondents were asked to select among these frequency options:

  1. Routinely/From most participants
  2. Sometimes/From some participants
  3. Rarely/From few participants
  4. Never
  5. Don’t Know
Q3. To what extent does your HIE electronically send or make available data to your participants using the following approaches listed below?

For each of the following options:

  1. Care summaries in a structured format (e.g., CDA, CCR, C32)
  2. HL7 v2 messages (any type)
  3. HL7 Fast Healthcare Interoperability Resources (FHIR) (DSTU2)
  4. HL7 FHIR Release 3 (STU)
  5. FHIR v.4.0

Respondents were asked to select among these frequency options:

  1. Routinely/From most participants
  2. Sometimes/From some participants
  3. Rarely/From few participants
  4. Never
  5. Don’t Know
Q4. Which types of clinical and other health-related information are made available by your HIE (as part of a clinical document or as a structured data element)? (Select all that apply)
  • Data Provenance
  • Problems
  • Prescribed Medications
  • Filled Medications
  • Medication Allergies
  • Non-Medication Allergies & Intolerances
  • Functional Status
  • Cognitive Status
  • Vital Signs
  • Pregnancy Status
  • Immunizations
  • Family Health History
  • Health Concerns
  • Clinical Notes
  • Diagnostic imaging order
  • Radiology Report (narrative)
  • Pathology Report (narrative)
  • Laboratory Test(s)
  • Laboratory Value(s)/Result(s)
  • Laboratory report (narrative)
  • Care Plan Field(s), including Goals and Instructions
  • Care Team Member(s) (Provider ID, Provider Name)
  • Assessment and Plan of Treatment
  • Procedures
  • Admission and Discharge Dates and Locations
  • Encounters (Encounter type, diagnosis, time)
  • Discharge Disposition
  • Referrals
  • Discharge Instructions
  • Reason for Hospitalization
  • Home Address
  • Race/Ethnicity
  • Preferred Language
  • Health-related Social Needs (e.g., housing, food insecurity)
  • Substance Use Disorder (as defined in 42 CFR Part 2)
  • Gender Identity
  • Sexual Orientation
  • Other (please list)
Q5. To what extent does your HIE electronically send or make available to participants

For each of the following options:

  1. Care summaries in a structured format (e.g., CDA, CCR, C32)
  2. Data in a format consistent with USCDI v1
  3. Data in a format consistent with USCDI v2

Respondents were asked to select among these frequency options:

  1. Routinely/From most participants
  2. Sometimes/From some participants
  3. Rarely/From few participants
  4. Never
  5. Don’t Know
Implementation and Use of Standards
Q21. Does your HIE map from non-standard laboratory test or result codes to LOINC codes?
  • Yes
  • No
  • Don’t know
Q21a. Within the past year, based upon the volume of test results received (qualitative and quantitative), to what extent did your HIE have to map those results from non-standard codes to LOINC codes?
  • All or most
  • Some
  • Few
  • None
  • Don’t know
Q21b. Have you experienced any of the following issues related to mapping to LOINC? (Select all that apply)
  • We do not have sufficient expertise to map to LOINC within our organization
  • We find LOINC and LOINC tools too difficult to use
  • We do not have the resources (personnel/time) to map and/or maintain mappings to LOINC
  • Other issue. Please specify:
  • No, we have not experienced any issues mapping to LOINC
  • Don’t know 

Appendix Table A2: Methods by which HIE electronically send or make data available to participants.

Data ElementRoutinely/ From most participantsSometimes/ From some participantsRarely/ From few participantsNeverDon’t know
CDAs68%25%3%3%1%
HL7 v2 messages (any type)71%12%1%6%10%
HL7 FHIR APIs15%7%26%38%13%
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: N=68. 9 missing responses were excluded from the denominator. See Appendix Table A1 for survey questions. HL7 FHIR messages include respondents who selected HL7 FHIR messages (DSTU2), HL7 FHIR Release 3 (STU) messages, or FHIR v.4.0 messages.

Appendix Table A3: Methods by which HIEs electronically receive data from participants.

Data ElementRoutinely/ From most participantsSometimes/ From some participantsRarely/ From few participantsNeverDon’t know
CDAs63%27%5%5%0%
HL7 v2 messages (any type)78%10%0%2%11%
ADT (for applicable participants)90%6%0%3%0%
HL7 FHIR APIs11%6%24%49%10%
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: N=63. 14 missing responses were excluded from the denominator. See Appendix Table A1 for survey questions. HL7 FHIR APIs include respondents who selected HL7 FHIR messages (DSTU2), HL7 FHIR Release 3 (STU) messages, or FHIR v.4.0 messages.

Appendix Table A4: Data elements made available by HIOs to participating organizations and the USCDI versions in which each data element is required.

Data ElementUSCDI Versions% of HIOs
Data Provenance1, 2, 3, 470%
Clinical Information
Immunizations1, 2, 3, 492%
Problems1, 2, 3, 490%
Vital Signs1, 2, 3, 490%
Prescribed Medications1, 2, 3, 487%
Medication Allergies1, 2, 3, 487%
Non-Medication Allergies & Intolerances478%
Clinical Notes1, 2, 3, 475%
Health Concerns1, 2, 3, 466%
Family Health History—65%
Pregnancy Status3, 462%
Functional Status3, 457%
Cognitive Status3, 456%
Filled Medications3, 452%
Imaging/Pathology
Radiology Report (narrative)1, 2, 3, 486%
Pathology Report (narrative)1 only (removed from subsequent USCDI versions)84%
Diagnostic Imaging Order—51%
Laboratory-Related Information
Laboratory Value(s)/Results1, 2, 3, 484%
Laboratory Test1, 2, 3, 481%
Laboratory report (Narrative)1 only (removed from subsequent USCDI versions)75%
Team-Based Care
Care Team Members1, 2, 3, 461%
Assessment and Plan of Treatment1, 2, 3, 460%
Care Plan Fields1, 2, 3, 451%
Encounter-Related Information
Encounters (encounter type, diagnosis, time)2, 3, 490%
Procedures1, 2, 3, 488%
Admission and Discharge Dates and Locations1, 2, 3, 487%
Reason for Hospitalization1, 2, 3, 482%
Discharge Disposition2, 3, 482%
Discharge Instructions1, 2, 3, 474%
Referrals1, 2, 3, 465%
Other Data Elements
Home Address1, 2, 3, 484%
Race/Ethnicity1, 2, 3, 482%
Preferred Language1, 2, 3, 468%
Health-Related Social Needs2, 3, 452%
Substance Use Disorder439%
Sexual Orientation3, 435%
OtherN/A12%
Source: National Survey of Health Information Exchange Organizations (2023).
Notes: This table reflects only USCDI elements included in survey question Q4. See Appendix Table A1 for question text. N=77; the numerator includes only those HIOs that make all data elements from each respective USCDI version available, among those elements included in Q4 of the National Survey of Health Information Exchange Organizations. For our analysis, we mapped these data elements to USCDI versions 1-4. USCDI v5 was published in July 2024 (after analysis was completed for this brief) and was therefore not included in this brief’s analysis and mapping. See Methods section for more details.
  1. The Office of the National Coordinator for Health Information Technology. 2023 Report to Congress. 2024.
  2. Pylypchuk Y, Everson J. Interoperability and methods of exchange among hospitals in 2021. Washington DC: Office of the National Coordinator for Health Information Technology January 2023.
  3. Everson J, Chang W, Patel V, Adler-Milstein J. The state of health information organizations and plans to participate in the federal exchange framework. Health Affairs Scholar. 2024;2(8).
  4. Cholan RA, Pappas G, Rehwoldt G, Sills AK, Korte ED, Appleton IK, et al. Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories. Journal of the American Medical Informatics Association. 2022;29(8):1372-80.
  5. Strawley C. L, J., Patel, V. Laboratory Interoperability Through Health Information Exchange Organizations. Washington, D.C.; 2024.
  6. Regenstrief Institute. What LOINC is: Regenstrief Institute, Inc.;  [Available from: https://loinc.org/about/. 
Form Approved OMB# 0990-0379 Exp. Date 9/30/2025
Submit Beta Feedback

Submit Beta Feedback

Step 1 of 3

33%
Name(Required)
Please provide your email address for follow-up.
What kind of issue are you experiencing?(Required)
Select the type of issue you encountered. Select all that apply.
Where did you experience this issue?(Required)
Select the type of issue you encountered. Select all that apply.
Example: Google Chrome on PC or Safari on iPhone.

Page Information

What page did you find this issue? e.g. Interoperability, ASTP Blog
e.g. https://beta.healthit.gov/interoperability
Please provide a detailed description of the issue you experienced.
Drop files here or
Max. file size: 3 MB, Max. files: 3.
    If you have any screenshots or files related to the issue, please upload them here.

    Subscribe for Email Updates

    EXPLORE

    • Certification of Health IT
    • Information Blocking
    • Interoperability
    • Health Information Technology Advisory Committee (HITAC)
    • Patient Access to Health Records
    • TEFCA
    • Policy
    • Resources

    DATA

    • HealthData.gov
    • Health IT Research & Analysis

    NEWS & EVENTS

    • Media Center
    • ASTP Blog
    • News
    • Events

    ABOUT

    • About ASTP/ONC
    • Careers
    • Contact
    • Funding Opportunities
    ASTP Logo HHS
    Linkedin
    X
    YouTube
    • Privacy Policy
    • Website Disclaimers
    • Viewers & Players
    • GobiernoUSA.gov
    • HHS Vulnerability Disclosure Policy
    • Archived Content

    External Link Notice

    Welcome to our new beta site!

    Thank you for visiting the new beta version of the HealthIT.gov website! We’re continuing to make improvements behind the scenes. You may see some features and performance change during this time. We welcome your feedback using the "Submit Feedback" button at the bottom of the page to help us improve your experience!