Childhood Obesity Preventer

Many health centers struggle to reap the benefits of technological advancement and investments in health information technology (health IT), while others embrace them and reap rewards. Interoperability is one such example; requiring health centers assess systems, relationships, and implementation.

There are keys to successful interoperability implementation for which health centers must develop processes, stand up infrastructure (within the system, internally and externally, and organization), and then take action.

Process refers to structured processes, policies, and procedures within the health center.

Infrastructure refers to structural capacity and ability within the health center’s technology and staffing structure.

Action refers to full implementation to the point of active and ongoing use and engagement.

This scorecard encourages health centers to consider their processes, infrastructure, and action in a number of key areas. Each area key to interoperability are to be self-graded on a scale of 1 through 5, where 1 is poorly or not yet developed and 5 is well developed. Health centers can also use this to guide discussions and monitor progress over time.

The Performance Measure Data Definition Worksheet can be used during the Quality Improvement (QI) process to assess the alignment of your health center’s workflows and documentation and your EHR vendor’s reporting logic processes.
The Office of the National Coordinator for Health Information Technology (ONC) EHR Certification criteria requires EHR vendors to use eCQM (electronic Clinical Quality Measure) specifications to define measures. Therefore, reported data for a measure should be consistent regardless of EHR vendor. In practice, however, it is important to confirm that your EHR vendor’s reporting logic is consistent with your health center’s definition and workflows, and vice versa, as outlined in this worksheet.

The Social Determinants of Health Data Dashboards training is a four-module series. Modules range from about 8 minutes to 12 minutes in length. Module four provides advanced-level information on using social determinants of health data and dashboards for facilitating and tracking social needs referrals, conducting predictive analysis with social determinants of health and health outcomes data, and using social determinants of health data to improve reimbursement for addressing social needs.

The Social Determinants of Health Data Dashboards training is a four module series. Modules range from about 8 minutes to 12 minutes in length. Module three provides intermediate level information on collecting social determinants of health data and using data visualization for effective dashboards with stratification of data.

The Social Determinants of Health Data Dashboards training is a four module series. Modules range from about 8 minutes to 12 minutes in length. Module two provides beginner level information on collecting social determinants of health data and basic analyses of the data.

The Social Determinants of Health Data Dashboards training is a four module series. Modules range from about 8 minutes to 12 minutes in length. Module one provides an introduction to the role of screening and collecting data on social determinants of health, identifying social determinants of health measures and using data effectively, and assessing organizational data dashboard capability. Subsequent modules provide beginner, intermediate and advanced level considerations and examples for social determinants of health data dashboards. 

As of CDC's 2017 National Diabetes Statistics Report, 30.3 million people, or 9.4% of the total U.S. population, have diabetes. Of these 30.3 million, only 23.1 million are diagnosed—while the other estimated 7.2 million are undiagnosed. Additionally, more than 1 in 3 adults or 84.1 million people in the U.S. have prediabetes, including nearly half of people age 65 and older. According to 2018 UDS data, an estimated 15.1% of Federally Qualified Health Center patients nationwide have diabetes, an increase over recent years. Of these approx. 2.4 million plus patients living with diabetes, approximately 33% have uncontrolled diabetes, with HbA1c equal to or above 9% or have had no test in the year. This has remained relatively stable since 2016. These statistics bring forth the need for improvement in the care of diabetes; several resources and research outcomes are profiled here with specific takeaways for health centers.

The first of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools. 

This Report Inventory tool is a means to make public all available reports, the schedule for publishing to the organization, and their distribution. 

This Data Dictionary provides a single point of reference for data mapping and interpretation for all of the indicators in your quality reports. Organization of the data definitions in this tool provides a reference for the team of all such definitions that impact reports and alerts in the analytics application.