In this project, a clinical decision support tool was developed for Otitis Media, and then studied in a cluster randomized controlled trial to evaluate its impact on the quality of care of Otitis Media.
This project developed, implemented, and evaluated the impact of a computerized tool to automatically identify tests with pending results at hospital discharge, and assist in communicating those to followup providers.
Expands upon an electronic medical records-sharing initiative for high-risk infants and their families in Mississippi, linking new health centers and clinics and serving a rural area that spans 17 counties; uses telemedicine technologies to enhance evidence-based developmental care for newborns in acute care hospitals; and creates Web-based decision support resources for physicians who care for infants.
Evaluated the effects of staggered installation of an Epic health IT system that includes an EMR with provider order entry and clinical decision support in primary care settings on quality, safety, and resource use within a large integrated delivery system on cohort of 780,000 members with chronic illnesses.
Established a Web-based electronic medical record system for 10 small rural hospitals to connect them to the area's regional medical center. The project's ultimate goal was to quickly give all providers access to patient data, eliminate duplicate tests and exams, deliver high-quality care, reduce medical errors and track health outcomes.
This project enhanced the information system MedTrak with an intervention called Virtual Continuity to improve communication between physicians of hospitalized patients and their primary care providers.
In this project, the team identified the most appropriate and feasible methods of collecting data on national performance on the adoption, use, and outcomes of health IT.
Develop a comprehensive plan for health IT implementation and integration by assessing specific clinical and organizational needs, feasibility of health IT implementation, defining project parameters, developing the implementation plan, and specifying procedures for ongoing evaluation and feedback.
This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
Shared an electronic medical records system that improved patient safety and quality of care. Also served as a critical learning tool for clinicians in a coalition of three large health organizations and 24 primary care clinics in northern Iowa.
