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Search found 18 items
This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.
This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project analyzed secondary data to identify factors associated with timely opening of electronic health record-based asynchronous alerts, timely response to the alerts, and patient outcomes.
This project will refine the Leapfrog Computerized Provider Order Entry (CPOE)/Electronic Health Record (EHR) test – a “flight simulator” for EHRs with CPOE which evaluates the safety performance of EHRs after deployment, with a particular focus on high impact patient safety and medication safety problems.
This project evaluated select Stage 3 Meaningful Use criteria in the Patient and Family Engagement, Care Coordination, and Interoperability domains and developed recommendations to improve them and increase their value to hospitals and practices implementing them.
The Center for Education and Research on Therapeutics (CERTs) Program focused on translating health information technology research into improved clinical practices related to medication safety, effectiveness, and cost.
This project sought to reduce the use of emergency department services for non-urgent care by improving access to primary care physicians for Medicaid patients via the electronic medical record.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.