This research will use artificial intelligence and machine learning to create prediction tools integrated into visualization dashboards to guide critical care pharmacists in preventing adverse drug events.
This research will study the effectiveness of a virtual in-home program designed to reduce hospital readmissions among COPD patients post-hospitalization.
This research aims to determine the effectiveness of a program designed to reduce medication-related issues among patients during the hospital-to-skilled nursing facility transition.
This research developed strategies to optimize CancelRx implementation and measured its impact on dispensing errors and patient outcomes.
This study tested the feasibility, acceptability, and usability of a novel telemedicine application that incorporates a virtual pharmacist into the delivery of patient-centered palliative care.
This research explores the effectiveness of an e-prescribing tool to electronically communicate medication discontinuation orders between electronic health records and pharmacies.
This study will create an innovative electronic medication administration record prototype and a medication administration workflow risk assessment to improve the medication administration process and the usability and safety of the electronic medication administration records in response to challenges from COVID-19.
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 study showed the feasibility and value of creating a methodology and process for a health information technology black box to inform electronic health record design and usability.
