This research will evaluate the safety, usability, and impact of an e-prescribing standard on adverse drug events related to erroneously dispensed medications.
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 examine the evidence around the value of order sets, while uncovering clinician perceptions that hinder their efficient use.
This project will use mobile health technology to collect patient-reported outcomes after dental procedures to optimize the quality of acute post-operative dental pain management.
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.
Facilitates transfer of information among providers and patients in the Presque Isle community; implements a model of chronic care management; and educates area health care providers on how best to use current information systems to communicate with each other.
This project reviewed the evidence on use and impact of health information technology in assisting all of the phases of medication management.
This project, one of five grants awarded by the Agency for Healthcare Research and Quality to conduct electronic prescribing (e-prescribing) pilots, evaluated six standards that were being considered for e-prescribing under Medicare Part D.