Search found 8 items
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project developed, implemented, and evaluated a voice-generated enhanced electronic note system and found that it did not improve the time to finalize notes or clinician satisfaction.
This project determined care priorities for patients with multiple chronic conditions based on patient needs, preferences, and capabilities and developed a set of recommendations for patients and providers.
This project aimed to capture and understand how clinical work is actually done, and then to analyze how the efficiency and quality of care could be measurably improved through health information technology.
This project evaluated the use and benefits of an electronic medical record shared between patients with diabetes and their health care providers.
Implemented an ambulatory computer physician order entry (ACPOE) system with clinical decision support capabilities in an ambulatory, community-based, integrated health-system; evaluated the impact of the system both internally, on organizational processes and human factors, and externally, on patient safety as measured by medication errors and adverse drug events.
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.