Ambulatory Safety and Quality Program: Enabling Quality Measurement through Health IT (R18)
This project investigated and validated the prevalence and patterns of exception reporting among physicians participating in the Cardio-HIT collaborative, a practice-based research network. The overall objectives of this study were to assess the prevalence of exception reporting, document specific reasons for exceptions, evaluate the relative accuracy of reported exceptions, and identify the location of exception data in electronic health records.
This project designed and validated a new diabetes quality of care process measure.
This project sought to identify existing, and create new, clinical quality of care metrics able to be reliably retrieved from electronic systems, such as electronic health records and health information exchanges.
Citizens Memorial Healthcare (CMH) will establish the standardization efforts necessary for data capture of quality measures in an ambulatory EMR system and demonstrate the efficiency and accuracy of using a data extraction and reporting expert to perform quality measurement in the ambulatory care setting. CMH will standardize and integrate data capture for quality of care measurement into the normal documentation of care within the ambulatory EMR.
The project team successfully developed and implemented an automated system for measuring the rate of adverse drug events in pediatric patients.
This project demonstrated the ability of an interoperable health information exchange and an electronic health record to provide useful quality and safety measures for the vulnerable populations served by two community health center clinics.
This project sought to develop an automated self-management monitor and test its impact of on glycemic control and self-management behaviors among patients with type 2 diabetes mellitus.
This project developed an automated system to provide feedback on patient outcomes to clinicians working in ambulatory settings.
The project sought to create a generalizable system to facilitate detection and clinician reporting of vaccine adverse events and found that it is possible to automatically detect adverse events in defined ways, and to electronically report them.
This study developed electronic medical record-based quality indices for eleven cardiovascular primary care services. It related physicians’ prior index scores to subsequent disease incidence and to care utilization in their patients.