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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 project will examine health information exchange (HIE) usage patterns, the barriers and facilitators of HIE use, and the impact of HIE use by emergency department clinicians.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.
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 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.
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.
This project integrated an electronic medication reconciliation system with an electronic prescribing system and evaluated whether the resulting system altered the rate of medication reconciliation and the incidence of medication errors.