Developed a shared electronic repository for patient-level prescription medication data that enables real-time access for patients receiving health care services and plans a model system designed to electronically link prescription medication data across hospitals and physician practices.
Implemented an Epic health IT system and diffused the system community-wide; identified the prevalence of medication errors, near misses, and preventable adverse drug events; assessed costs and customer satisfaction both before and after implementation.
This project developed a children’s electronic health record (EHR) format that contains the requirements for data elements, standards, usability, functionality, and interoperability for a pediatric EHR.
This project developed an automated email notification system of tests pending at discharge and conducted an evaluation of the tool's impact on provider awareness of these tests.
This study evaluated the effectiveness of an electronic medication reconciliation intervention by comparing outcomes pre- and post-implementation in six community-based primary care clinics and two inpatient facilities.
Implemented health IT specifically related to medication administration and management and assessed the extent to which these technologies contribute to measurable and sustainable improvements in patient safety and quality of care.
Built upon an existing infrastructure to construct a fully integrated EMR to give clinicians real-time access to patient data through pharmacy management, laboratory management, patient scheduling, barcoding, clinical physician order entry, electronic signature, insurance eligibility, and Pyxis medication-dispensing units at nursing stations.
Planned the development and implementation of a health IT infrastructure throughout three rural counties, including high-speed Internet access, CPOE, CDSS, EHR, and continuity of care record templates.
This project examined the role of health information technology on inpatient health care service demand.
The project team successfully developed and implemented an automated system for measuring the rate of adverse drug events in pediatric patients.
