Patient Safety

Predictive Monitoring: IMPact of Real-Time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)

Description

This research evaluates an artificial intelligence risk predictive tool called CoMET that uses visual outputs of patient data to serve as an early warning system for patients at risk of cardiac decompensation to allow for earlier intervention and reduction in morbidity and mortality.

Grant Number
R01 HS028803

Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign

Description

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.

Grant Number
R01 HS025136
Principal Investigator(s)

Meaningful Drug Interaction Alerts

Description

This project proposes a novel proactive system to reduce alert burden and thereby increase attention to situations in which patient safety is at risk.

Grant Number
R01 HS025984
Principal Investigator(s)