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This research will further scale clinical decision support aimed at preventing the prescription of inappropriate medications to older adults upon discharge from the emergency department.
This research will adapt a shared decisionmaking tool for lung cancer screening and create a shareable clinical decision support tool that can be integrated into any electronic health record system.
This project will develop a method to use video captured electronic health record interactions to analyze the context around medication errors, identify design elements that contributed to the errors, and make design recommendations to mitigate those errors.
This project will develop and validate new measures needed for automatically identifying violations of the “Five Rights of Medication Safety”: right patient, right dose, right medication, right route, and right frequency.
This research linked a web viewer for 3D models of patient homes to an electronic health record so that the models could be viewable and annotated from within a patient’s record for better discharge planning.
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 developed and pilot tested an electronic after-visit summary (AVS) that incorporated evidence-based strategies for communicating printed health information to patients and determined best practices for future AVS development.
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 developed and validated a 30-day readmission risk prediction model that incorporated data from a health information exchange.
This project developed and piloted a patient-centered clinical decision support tool that was used in emergency department management of minor head injury and found high patient and clinician satisfaction and usability.