USA, VA, Charlottesville | Digital Healthcare Research

Informing Consumer Health Information Technology Design: How Patients Use Social Networking Sites

Description

This study showed that there is a range of how people communicate with their social network, how this information is communicated, the types of health information communicated, and the rationales for the communication.

Grant Number

R03 HS022930

Principal Investigator(s)

Valdez, Rupa Sheth

Accessibility and Beyond: Designing Consumer Health IT for Disabled Individuals

Description

This project engaged individuals with physical, sensory, and cognitive disabilities to expand upon existing consumer mobile health application design guidance for social networks.

Grant Number

R21 HS023849

Principal Investigator(s)

Valdez, Rupa Sheth

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

Principal Investigator(s)

Keim-Malpass, Jessica

Bourque, Jamieson MacDonald