This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
Researchers refined and implemented integrated digital healthcare enhancements to a previously developed, interactive, patient-centered discharge toolkit, finding that while patients used the toolkit, there were no significant changes in post-discharge healthcare utilization.
This project evaluated the impact of an electronic health record on the quality of diabetes care as measured by compliance with recommended processes of care and patient outcome measures.
Assessed the value of software applications to facilitate information transfer during the high-risk transition from hospital to home at discharge, and compared health information technology to usual care for benefits outcomes, adverse events, effectiveness, costs, and satisfaction among patients and physicians.
The findings of this study demonstrated that electronic health record-based trigger methods can enable more meaningful measurement and surveillance of diagnostic errors in primary care.
This project team developed a quantitative decision support system to help clinics balance timeliness of care with continuity of care.
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.
Evaluated the effects of a Web portal-based patient empowerment program and EMR system on quality of care, patient safety, and utilization for patients with diabetes and physicians in primary care practices.
The overarching goal for this project is to improve the quality and patient-centeredness of asthmatic ambulatory care for children and adults.
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.