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 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 successfully adapted and evaluated scaling of the Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department medication safety program to an additional commercial electronic health record and added additional sites, finding a significant reduction in potentially inappropriate medication prescribing in the emergency department setting.
This research study examined the relationships between clinician use of order sets, patient-level order variation, and patient outcomes and found that order set usage reduced order variation and improved patient outcomes in patients with sepsis.
This study implemented a mobile health (mHealth) platform to measure patient-reported outcomes for pain management after certain dental procedures to determine the impact on the patient pain experience.
Researchers created a drug allergy module that detects inconsistencies in allergy information within the electronic health record and uses a dynamic picklist that puts answers in order of how important they are based on the allergen input.
The research team developed and evaluated a natural language processing allergy module that was used to study different types of allergies in an electronic health record.
This research evaluated the usability and usefulness of medication therapy management (MTM) alerts and made recommendations for improving MTM platform design.
This research assessed the utilization of a “smart” pillbox, a prefilled electronic medication tray that sends electronic alerts and reports to patients, caregivers, and primary care providers for patients discharged from the hospital, finding an increased medication adherence among patients on five or more chronic medications.
