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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 developed a relational agent system--a human animation program that interacts with patients--to deliver depression treatment to patients with chronic illness and comorbid depression and found the system to be feasible and user-friendly.
This study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.
This project developed and tested the impact of a virtual patient on the clinical approach of primary care providers at a community health center serving refugee patients.
This project established an integrated information and communication technology system to help older adults age in place and live independently for as long as possible, and found that the system improved user quality of life.
This project created individualized, culturally and linguistically inclusive education materials for older adults from diverse backgrounds tailored to electronic medication information.
Analyzed a patient secure messaging application for patients with depression, congestive heart failure, and diabetes, and evaluated potential for safer and more effective medical care.