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As of January 2022, eligible hospitals and critical access hospitals (CAHs) that participate in the Centers for Medicare & Medicaid Services’ (CMS) Medicare Promoting Interoperability (PI) Program are required to electronically submit data to public health agencies (PHAs) for syndromic surveillance, immunization registry, electronic reportable laboratory result (lab reporting), and electronic case reporting. Public health registry and clinical data registry reporting are not required but qualify for bonus points (1). During the COVID-19 pandemic, U.S. hospitals were also required to report data associated with hospital capacity and utilization of medical supplies to assist the government with resource allocation. This data brief uses nationally representative survey data from the 2022 American Hospital Association (AHA) Information Technology (IT) supplement to describe non-federal acute care hospitals’ active engagement towards electronically submitting data for required and optional public health and hospital capacity reporting. This analysis shows progress in hospitals’ rates of electronic reporting since 2021 (2) and highlights challenges that may hinder hospital capacity to contribute timely and accurate data to support PHAs’ ability to effectively respond to current and future public health emergencies.
Figure 1: Percent of non-federal acute care hospitals that reported actively electronically submitting production data for public health reporting, 2021-2022.

Table 1: Mean number of public health reporting types, by hospital characteristics, 2022.
| Hospital Characteristics | Mean Number of Reporting Types (Out of 6) |
|---|---|
| National Average | 4.2 |
| Size | |
| Small < 100 beds (N=1,228) | 3.84* |
| Medium 100-399 beds (N=990) | 4.44* |
| Large > 400 beds (N=323) | 4.81 |
| Ownership | |
| Government (N=486) | 3.50* |
| For-profit (N=325) | 3.91* |
| Non-profit (N=1,729) | 4.45 |
| Location | |
| Rural (N = 988) | 3.73* |
| Suburban-Urban (N = 1,553) | 4.47 |
| Critical Access | |
| Yes (N = 721) | 3.69* |
| No (N = 1,820) | 4.38 |
| System Affiliation | |
| Independent (N = 662) | 3.59* |
| System member (N = 1,879) | 4.45 |
| Certification | |
| Not certified (N=119) | 2.89* |
| Certified EHR (N=2,422) | 4.21 |
Figure 2: Methods used to submit data for public health and hospital capacity reporting, 2022.

Figure 3: Processes used to submit data for public health and hospital capacity reporting, 2022.

Table 2: Percent of hospitals that reported experiencing at least one challenge for each reporting type and mean number of challenges experienced (among those reporting at least one challenge).
| Number of public health reporting challenges | At least one challenge | Mean (Out of 8 challenges) |
|---|---|---|
| All reporting types | 76% | 3.2 |
| Electronic case reporting | 57% | 3.3 |
| Public health registry reporting | 53% | 3.5 |
| Clinical data registry reporting | 49% | 3.6 |
| Immunization registry reporting | 48% | 2.8 |
| Electronic lab reporting | 47% | 2.9 |
| Syndromic surveillance reporting | 47% | 3.3 |
Table 3: Percent of hospitals that reported experiencing a given challenge for at least one public health reporting type in 2022 and mean number of reporting types (among those experiencing the challenge for at least one reporting type).
| At least one reporting type | Mean No. (Out of 6 types) | |
|---|---|---|
| Hospitals feel PHAs lack the capacity to electronically receive information | 50% | 3.7 |
| Hospitals report they lack the capacity to electronically send information | 16% | 3.3 |
| Technical complexity of interfaces, transmission, or submission process | 39% | 3.5 |
| Cost related to interfaces, transmission, or submission | 26% | 4.4 |
| Use different vocabulary standards than PHAs, making it difficult to submit | 16% | 3.4 |
| Difficulty extracting relevant information from EHR | 19% | 3.4 |
| Data not stored in a discrete format within the EHR | 13% | 3.7 |
| Onboarding process for electronic reporting is too cumbersome | 38% | 4.5 |
Figure 4: Percent of hospitals that reported experiencing at least one public health reporting challenge in 2022, by state.

In 2022, most non-federal acute care hospitals (96%) reported actively submitting production data for at least one type of public health reporting—a significant increase from 2021. Reporting rates were highest for immunization registry, syndromic surveillance, and electronic reportable laboratory results reporting, which have been core performance objectives since the early stages of the PI Program (formerly Meaningful Use) and were required in 2022 (3). Public health and clinical data registry reporting, which are not required but qualify for bonus points, also increased significantly between 2021 and 2022.
Reporting rates were lowest for electronic case reporting, which was added as an optional measure relatively late in the PI program and became a required measure for the first time in 2022. Since hospitals could satisfy their public health reporting requirements through other means, the demand for EHR products with electronic case reporting functionality has historically been low (4). While overall rates of electronic case reporting did not change between 2021 and 2022, fewer hospitals were submitting data electronically using fully manual processes in 2022 (2% compared to 6% in 2021). This increase in automation is likely attributable to a targeted effort led by the Centers for Disease Control and Prevention (CDC) and Association of Public Health Laboratories to advance the adoption of electronic case reporting(5). To further facilitate faster and more efficient case management, ONC’s new proposed rule would require that Health IT Modules support eCR using consensus-based, industry developed standards. The move from functional to standards-based requirements would facilitate bi-directional exchange between providers and PHAs and help ensure PHAs have access to timely and accurate case reporting information.
Directly submitting data through EHRs was the most common method used for required electronic public health reporting (ranging from 78% of hospitals for electronic case reporting to 84% of hospitals for immunization registry reporting), followed by submitting data through HIEs (ranging from 15% of hospitals for electronic case reporting to 19% of hospitals for immunization registry reporting). While portal and flat file use was less common for required reporting types, these methods were used by 15% to 29% of hospitals for public health and clinical data registry reporting. These were also the main methods used to submit data for hospital capacity reporting, which was a CMS condition of participation for hospitals and CAHs implemented in 2020, during the COVID-19 pandemic, to assist the government with resource allocation (6).
In 2022, most hospitals reported submitting public health data electronically using fully or primarily automated processes (ranging from 54% of hospitals for clinical data registry reporting to 91% of hospitals for immunization registry reporting). However, manual processes or a mix of automated and manual processes were predominantly used for hospital capacity reporting, which is likely due to greater reliance on portals and flat files for this type of reporting. Unlike other types of public health reporting, there is no certification criterion for hospital capacity reporting and thus there may be limited capacity built into EHRs to support automated reporting. Across reporting types, the share of hospitals using fully or primarily automated processes to transmit data was higher for those submitting data directly through EHRs or through HIEs for reporting compared to those using portals and flat files (Appendix Table A2).
Despite progress in hospitals’ rates of electronic public health reporting, in 2022, about three-quarters of hospitals nationally reported experiencing at least one challenge to public health reporting, ranging from 23 to 100 percent of hospitals within a given state. The most common challenges cited by hospitals were PHAs’ lack of capacity to electronically receive information and the technical complexity of interfaces, transmission, or submission processes for electronic reporting, which were reported by 50 and 39 percent of hospitals, respectively, for at least one reporting type. Cost-related challenges and reports of onboarding processes for electronic reporting being too cumbersome were also reported by more than a quarter of hospitals for at least one type of reporting. While not all public health reporting challenges were common, reported challenges tended to occur consistently across reporting types.
Taken together, these findings suggest that the CDC’s ongoing Data Modernization Initiative (DMI) efforts, particularly those targeting specific reporting types, are critical to addressing barriers to electronic public health reporting and improving health information exchange between healthcare providers and PHAs. Efforts to promote data standardization through the Health IT Certification Program, can help mitigate reporting challenges related to the use of different vocabulary standards and difficulties extracting relevant information from EHRs. Standardization can also help support automated reporting of health information for public health purposes. ONC is working to advance standards to facilitate public health data exchange through ONC’s new proposed rule to standardize electronic case reporting, and through USCDI+, an initiative aimed at identifying and establishing public health specific datasets that will operate as extensions to the existing United States Core Data for Interoperability (USCDI) standard (7). Building on this groundwork, ONC’s Trusted Exchange Framework and Common Agreement (TEFCA) initiative will help further advance interoperability for healthcare providers, hospitals, and PHAs by providing the infrastructure for more seamless nationwide health information exchange (8).
Critical Access Hospital: Hospitals with less than 25 beds and at least 35 miles away from another general or critical access hospital.
Large hospital: Non-federal acute care hospitals of bed sizes of 400 or more.
Medium hospital: Non-federal acute care hospitals of bed sizes of 100-399.
Non-federal acute care hospital: Hospitals that meet the following criteria: acute care general medical and surgical, children’s general, and cancer hospitals owned by private/not-for-profit, investor-owned/for-profit, or state/local government and located within the 50 states and District of Columbia.
Public Health Agency (PHA): state and local public health agencies support interoperability efforts and data exchange with electronic health records, many of which have been utilized by the Centers for Medicare & Medicaid Services (CMS) Promoting Interoperability Programs.
Rural hospital: Hospitals located in a non-metropolitan statistical area.
Small hospital: Non-federal acute care hospitals of bed sizes of 100 or less.
System Affiliated Hospital: A system is defined as either a multi-hospital or a diversified single hospital system. A multi-hospital system is two or more hospitals owned, leased, sponsored, or contract managed by a central organization. Single, freestanding hospitals may be categorized as a system by bringing into membership three or more, and at least 25 percent, of their owned or leased non-hospital pre-acute or post- acute health care organizations.
Data are from the American Hospital Association (AHA) Information Technology (IT) Supplement to the AHA Annual Survey. Since 2008, ONC has partnered with the AHA to measure adoption and use of health IT in U.S. hospitals. ONC funded the 2022 AHA IT Supplement to track hospital reported adoption and use of EHRs and the exchange of clinical data.
The chief executive officer of each U.S. hospital was invited to participate in the survey regardless of AHA membership status. The person most knowledgeable about the hospital’s health IT (typically the chief information officer) was requested to provide the information via a mail survey or secure online site. Non- respondents received follow-up mailings and phone calls to encourage response.
This brief reports results from the 2020 and 2022 AHA IT Supplements. Due to pandemic-related delays, the 2020 survey was not fielded until April 2021 to September 2021. Since the IT supplement surveys instruct respondents to answer questions as of the day the survey is completed, we refer to responses to the 2020 IT supplement survey as occurring in 2021. The response rate for non-federal acute care hospitals (N = 2,359) in the 2020 survey was 54 percent. The 2022 survey was fielded from July 2022 to December 2022 and the response rate for non-federal acute care hospitals (N = 2,541) was 59 percent.
A logistic regression model was used to predict the propensity of survey response as a function of hospital characteristics, including size, ownership, teaching status, system membership, and availability of a cardiac intensive care unit, urban status, and region. Hospital-level weights were derived by the inverse of the predicted propensity.
The author is with the Office of Technology, within the 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 Rachel Abbey.
Richwine, C. Progress and Ongoing Challenges to Electronic Public Health Reporting Among Non-Federal Acute Care Hospitals. ONC Data Brief [Internet]. 2023 June; 66.
Appendix Table A1: Mean number public health reporting types, 2021-2022.
| 2021 | 2022 | |
|---|---|---|
| Mean number of reporting types | 3.9 | 4.2* |
| Among those who report at least one | 4.2 | 4.4* |
Appendix Table A2: Percent of non-federal acute care hospitals using fully or primarily automated processes to transmit data, by method of public health and hospital capacity reporting, 2022.
| EHR | HIE | Flat file | Portal | |
|---|---|---|---|---|
| Immunization registry reporting | 94% | 86% | 80% | 52% |
| Syndromic surveillance reporting | 92% | 87% | 55% | 33% |
| Electronic lab result reporting | 89% | 87% | 75% | 56% |
| Electronic case reporting | 79% | 65% | 55% | 26% |
| Public health registry reporting | 77% | 60% | 30% | 30% |
| Clinical data registry reporting | 67% | 68% | 32% | 27% |
| Hospital capacity reporting | 50% | 34% | 12% | 4% |
Appendix Table A3: Percent of hospitals that reported experiencing challenges to public health reporting in 2022, by reporting type.
| Syndromic Surveillance | Immunization Registry | Electronic Case | Public Health Registry | Clinical Data Registry | Electronic Lab | |
|---|---|---|---|---|---|---|
| Hospitals feel PHAs lack the capacity to electronically receive information | 21% | 23% | 31% | 27% | 28% | 21% |
| Hospitals report they lack the capacity to electronically send information | 5% | 3% | 8% | 9% | 10% | 4% |
| Technical complexity of interfaces, transmission, or submission process | 19% | 14% | 21% | 19% | 20% | 15% |
| Cost related to interfaces, transmission, or submission | 15% | 13% | 17% | 18% | 19% | 12% |
| Use different vocabulary standards than PHAs, making it difficult to submit | 5% | 4% | 8% | 7% | 9% | 5% |
| Difficulty extracting relevant information from EHR | 6% | 4% | 8% | 10% | 12% | 4% |
| Data not stored in a discrete format within the EHR | 5% | 3% | 5% | 6% | 8% | 4% |
| Onboarding process for electronic reporting is too cumbersome | 21% | 24% | 26% | 21% | 16% | 21% |
Appendix Table A4: Percent of hospitals experiencing at least one public health reporting challenge in 2022, by state.
| State | Report at least one challenge | N | # Hospitals in IT Survey | # Hospitals in State | % Hospitals Surveyed |
|---|---|---|---|---|---|
| AK | 100% | 8 | 8 | 26 | 31% |
| AL | 93% | 24 | 31 | 117 | 26% |
| AR | 84% | 37 | 46 | 104 | 44% |
| AZ | 56% | 16 | 33 | 112 | 29% |
| CA | 77% | 96 | 131 | 415 | 32% |
| CO | 81% | 38 | 48 | 106 | 45% |
| CT | 67% | 13 | 20 | 42 | 48% |
| DC | 70% | 3 | 4 | 14 | 29% |
| DE | 100% | 4 | 4 | 13 | 31% |
| FL | 87% | 109 | 126 | 252 | 50% |
| GA | 70% | 45 | 66 | 173 | 38% |
| HI | 42% | 2 | 5 | 28 | 18% |
| IA | 81% | 76 | 98 | 122 | 80% |
| ID | 80% | 12 | 17 | 52 | 33% |
| IL | 84% | 92 | 113 | 208 | 54% |
| IN | 93% | 52 | 58 | 161 | 36% |
| KS | 71% | 41 | 62 | 151 | 41% |
| KY | 92% | 51 | 56 | 121 | 46% |
| LA | 51% | 15 | 34 | 204 | 17% |
| MA | 43% | 10 | 23 | 102 | 23% |
| MD | 81% | 29 | 36 | 63 | 57% |
| ME | 86% | 14 | 17 | 39 | 44% |
| MI | 80% | 54 | 70 | 161 | 43% |
| MN | 56% | 41 | 75 | 140 | 54% |
| MO | 23% | 26 | 104 | 142 | 73% |
| MS | 56% | 23 | 44 | 112 | 39% |
| MT | 73% | 23 | 32 | 65 | 49% |
| NC | 90% | 58 | 65 | 136 | 48% |
| ND | 36% | 6 | 20 | 49 | 41% |
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