URMC / Health Lab / Projects
Projects
Projects originate with affiliated faculty or Health Lab team members. All project leaders are welcome to bring updates and questions to the team, and our space allows for folks to be involved in a few projects at any given time. UR Health Lab co-directors Dave Mitten and Michael Hasselberg provide insight and strategy for all, and resources are divided among ongoing projects as needed.
Current and forthcoming projects include:
explore POCUS, AI, and clinical implementation
HL Team: Kathleen Fear; Justin Zelenka; Jeff Lillie; Constantinos Ketonis; Spencer Rosero; Meghan Plate
use VR to reduce procedural anxiety/sedation
HL Team: Kate Ackerman; Antonia Kolokythas; Wendi Cross; Daniela Martinez Bernal; Cristiano Tapparello
identify new brain measures to develop personalized and precise diagnostic and treatment tools
HL Team: Ben Suarez-Jimenez
identify health inequities and illiteracy
HL Team: Mechelle Sanders; Carly Hochreiter
gather data to reduce alarm fatigue in the PICU
HL Team: Heather Reyes; Alex Clark
optimize data management to improve stroke quality metrics
HL Team: Kathleen Fear; Christine Boerman
address COVID-19 information gaps via chatbot
HL Team: Jose Pérez Ramos
HL Team: Kostantinos Vasalos; Kathleen Fear
build a digital ecosystem for internal medicine residents
HL Team: Conrad Gleber; Kathleen Fear; Cristiano Tapparello; Meghan Plate
improve care of children with GJ (gastrojejunostomy) tubes
HL Team: Kate Ackerman
Learn More
develop clinical uses for Moxie, a robot with ML to promote social and cognitive development
HL Team: Heather Reyes; Kate Ackerman; Daniela Martinez Bernal
test interactive app for caregivers of children with fetal alcohol spectrum disorders (FASD)
HL Team: Cristiano Tapparello
use EHR data to understand sleep disturbances during hospital stays and outcomes
HL Team: Sullafa Kadura; Kathleen Fear
provide access and easy-to-use tech interfaces for patients in the health system
HL Team: Kathleen Fear; Carly Hochreiter
deliver app-based cognitive behavioral therapy (CBT) with embedded virtual reality
HL Team: Michael Hasselberg; Wendi Cross; Cristiano Tapparello
validate and refine an existing algorithm that predicts early acute kidney injury (AKI) among critically ill children
HL Team: Adam Dziorny
optimize medication use for recently hospitalized patients while receiving home health care visits
HL Team: Jinjiao Wang; Conrad Gleber; Kathleen Fear; Justin Zelenka
use brain training app and games for middle- and old-age patients at risk for dementia
HL Team: Josef Lenz; Cristiano Tapparello