Our Projects

The Lab Projects

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.

  • Remote Patient Monitoring (RPM) for Primary Care

    The goal of RPM for Primary Care is to decrease inpatient admission and re-admission rates for the high-risk population, and potentially allow us to discharge patients earlier or monitor more patients from home who would have otherwise been admitted.

    Project Lead: Kayla Hurley

    • Strategic Innovation

    active

    • Remote Patient Monitoring
  • Atrial Fibrillation Dashboard

    The goal of this project was to create a comprehensive dashboard for informed outpatient care for patients who are diagnosed with Atrial Fibrillation.

    Project Lead: Krissy Mikhova, MD

    • Innovation Trainee

    complete

    • Clinical Phenotypes of Viral Pneumonia: A Comparative Study Between SARS-CoV-2 and Influenza

      By developing a machine learning predictive analytics model, this COVID-19 Big Ideas team identified variables associated with the need for ECMO in pediatric COVID-19 patients.

      Project Lead: Pratik Sinha

      • Big Ideas

      complete

      • Care Companion for Surgical Prehabilitation

        The Lab is developing a program to help patients better prepare for surgery through the use of various tools available in the market, including wearable devices.

        Project Lead: Julie Lenhardt

        • Strategic Innovation

        active

        • Remote Patient Monitoring
      • 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

        • Predictive Analytics
      • 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

        • Predictive Analytics