Patient Safety

This research implemented a clinical decision support tool to identify patients at risk for a life-threatening, uncommon cardiac arrhythmia.

This project will examine the quality and safety impact of patient-initiated telemedicine visits with primary care providers.

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.

The research team developed and tested algorithms that can predict postoperative adverse outcomes with a high degree of accuracy.