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This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
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.
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 expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.