This research study used cognitive systems engineering approaches to understand the decision making process in the emergency department and proposed models and solutions to some of the biggest challenges in practicing medicine in this complex environment.
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.
The research team developed a smartphone application that notifies primary care providers when patients receive care in the hospital or emergency department, allowing for rapid followup care.
Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department
This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.
Develop and Validate Health IT Safety Measures To Capture Violations of the Five Rights of Medication Safety
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 project assessed the clinical and operational implications of electronic health record downtimes and developed a simulation model to support the creation of effective downtime contingency plans.
This research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.
This research pilot tested a sickle cell disease mobile application that was found to reduce acute care visits by patients with the condition.
Portals in Inpatient Care: Evaluating the Usability, Use, and Patient Experience Associated With Patient Portal Technology at the Bedside
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.