This research will develop and disseminate sharable, interoperable drug-drug interaction decision-making tools that enable patient-centered shared decision making.
This project will examine the impact of implementing the e-Prescribing standard CancelRx on outpatient medication discrepancies and on clinic and pharmacy workflows.
This study will examine usability and safety hazards of electronic medication administration records, with a focus on communication and information flow between health information technology applications.
This project proposes a novel proactive system to reduce alert burden and thereby increase attention to situations in which patient safety is at risk.
This study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.
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 evaluate a computerized provider order entry (CPOE)-based function—medication voiding—that can be used to prospectively identify and document medication ordering errors.
The project will develop and test a large set of alerts at two large health systems to demonstrate that alerts can help prevent wrong-drug and wrong-patient errors and improve the completeness of the problem list.
This project will develop a clinical decision support tool for the perioperative setting.
This project developed patient-tailored relevant warnings about drug-drug interactions and found that it reduced irrelevant alerts.