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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 will clarify the relationship between “pull” and “push” health information exchange usage in primary care settings, and determine the impact of each approach on potentially avoidable and costly health care utilization.
This project will implement and evaluate a previously developed, interactive, patient-centered discharge toolkit to improve the transition of care from the inpatient to outpatient settings.
This research developed and pilot-tested a sleep promotion toolkit (SLEEPkit), an application designed to facilitate routine sleep assessment and inform individualized plans for sleep promotion.
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 studied the impact on workflow of applications that allow patients to electronically share information with clinics on workflow and at how clinics redesign information workflows to incorporate this data.