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This research will apply innovative health information technology strategies to improve methods for systematic collection and use of patient-reported outcomes in clinical care for those with multiple chronic conditions using person-specific patient-reported outcomes.
This research will estimate the cost-effectiveness of pharmacogenomics clinical decision support alerts and create a tool that provides estimates of the value of developing and implementing them.
This project will develop design principles to enable more effective integration of patient-reported outcomes data into patient care activities through health information technology.
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 applied a user-centered design process to understand the needs and attitudes for sharing patient-collected lifelog data with providers to improve management and decision making.
In an effort to reduce medical errors and adverse events, this project will determine the information needs of hospitalized patients and caregivers, and develop design requirements for a solution that supports communicating safety concerns to providers.
This study sought to gain an understanding of the personal health information management needs and practices of older adults and their caregivers to inform the design of health information technologies that support older adult health and independence.
This project developed an image-based electronic health record to give patients visual feedback on home physical therapy exercises and provide that information to the physical therapist.
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.
The project supported the Workshop on Interactive Systems in Healthcare (WISH) that addresses design limitations and other issues that stymie the development and adoption of health information technology.