News and Resources from CDC, NACDD, and National Partners
From Public Health Informatics Institute and NACDD
Recording available from Nov. 19, 2019, Evidence-Based EHR-based Surveillance Learning Community
The following are highlights of the Building Support for EHR-based Chronic Disease Surveillance call.
Launching an EHR-based surveillance program requires building support both internally and with external/community partners such as healthcare providers, health information exchanges and others. Such support is critical because of the complexity, risks and likely long-time horizon for implementation.
The next meeting of the EHR-based Surveillance Learning Community will be on Tuesday, Dec. 17, 2019, from 3:00-4:00 p.m. ET and will cover Analysis-Visualization-Reporting (AVR) tools. You can register for the call series, view past call recordings and learn more about the community by visiting the MENDS homepage and clicking on the Learning Community Tab.
- Building support internally can include getting leadership and staff to understand and accept the vast potential of EHR data as a source of information.
- Building support externally begins with crafting a compelling business case for why healthcare should bother sharing data with the health department despite the cost. This means articulating the value to them, based in business healthcare terms and not public health values.
- Critical success factors for surveillance projects are leadership/executive sponsorship, governance and stakeholder involvement, organizational alignment, IT lifecycle planning, project management, communications planning, policy alignment, and evaluation.
- The San Diego County Cardiovascular Disease Surveillance Demonstration Project is exploring the use of clinical data from EHRs for public health surveillance with a focus on early clinical conditions (prediabetes and elevated blood pressure). The goal is to demonstrate the utility of EHR data in surveillance and to develop prototype reports for clinics that link clinical and community date, leveraging CDC Prevention grant (sample maps are included in the slides).
- In creating analytic visualizations, the Program overlays clinical data with data from community sources such as education, census, business, crime, food access, and transportation.
If you have questions or comments, please contact Kayla Craddock at email@example.com.