Search found 11 items
This project will develop and evaluate the impact of the Prevent Diabetes Mellitus Clinical Decision Support on clinical outcomes, healthcare process measures, and associated costs.
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 develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.
This project developed, implemented, and evaluated a program that includes clinical decision support to improve diagnosis of hypertension in children.
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 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 developed an emergency care data registry for pediatric patients using electronic health records and assessed change in benchmarks for quality care measures.
This project designed, implemented, and evaluated a NICU-2-Home mobile phone application that supports parents of very low birth weight babies transitioning from the neonatal intensive care unit to the home.
This project investigated and validated the prevalence and patterns of exception reporting among physicians participating in the Cardio-HIT collaborative, a practice-based research network. The overall objectives of this study were to assess the prevalence of exception reporting, document specific reasons for exceptions, evaluate the relative accuracy of reported exceptions, and identify the location of exception data in electronic health records.
Created a secure infrastructure for communication among providers to allow electronic sharing of patient clinical information with hospitals and other physicians/health providers in the county, region, and State; also assessed the effectiveness of the system in improving workflow, timeliness and completeness of information, patient safety, continuity of care, and health outcomes.