We are excited about our current body of work and want to share project insights. For more information, questions about our work, or to share ideas, please contact us.
The Lab Projects
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Oncology Deterioration Early Warning Signs
This project focuses on preventing deterioration of hospitalized oncology patients. Providers will access an early warning system dashboard to detect those who are high risk.
Project Lead: Patrick Lyons, MD, MSc
- Epic Predictive Analytics
active
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Post-Operative Prediction
The goal of this project is to prevent death and post-operative complications, including acute kidney injury, after surgery using a prediction tool.
Project Lead: Bradley Fritz, MD, MSCI
- Epic Predictive Analytics
active
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Sepsis Prediction Tool
The Sepsis Prediction tool allows Epic to highlight patients who are at risk for sepsis, which leads to a more rapid clinical intervention and reduced adverse outcomes.
Project Lead: Andrew Michelson, MD
- Epic Predictive Analytics
active
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Machine Learning for Post-Operative Care
The goal of this project is to utilize machine-based learning in Epic to assist with the reduction of adverse outcomes in post-operative patients.
Project Lead: Christopher Ryan King, MD, PhD
- Epic Predictive Analytics
active
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Palliative Care Identification
The Lab aims to improve patient referrals for palliative care services using predictive models such as Epic Predictive Analytics and analyzing patient data while they are inpatient.
Project Lead: Nathan Moore, MD
- Epic Predictive Analytics
active
