This project studied the impact of changing the computing layout in a clinical exam room and evaluated its impact on workflow and patient centeredness.
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 research team developed and tested algorithms that can predict postoperative adverse outcomes with a high degree of accuracy.
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.
This study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.
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 will examine the quality and safety impact of patient-initiated telemedicine visits with primary care providers.
This research implemented a clinical decision support tool to identify patients at risk for a life-threatening, uncommon cardiac arrhythmia.
This research will examine the factors affecting cancer patients’ use of an electronic patient safety event reporting system to communicate adverse medication-related events to their care team.
This research will refine a current health information exchange platform to improve data exchange for inter-hospital transfers, evaluate its impact, and create a dissemination toolkit so that others may adopt this model.
