Innovation Events: Big Ideas Pitch Event

June 7, 2024

On May 14, 2024, the BJC HealthCare Innovation Lab and the Institute for Informatics, Data Science and Biostatistics hosted the 6th annual Big Ideas Pitch Event. The Big Ideas competition was created to identify and support high-priority, novel projects from collaborative clinical, operational and research teams that are developing innovations in informatics and health care delivery.

Six teams had five minutes to pitch their ideas and convince the judges why their Big Idea is worth funding. The competition was judged by leadership of BJC HealthCare and Washington University School of Medicine including Drs. John Lynch, Karen Mullis, Elizabeth Peek, Tommye Austin, Vicky Fraser, and Michael Avidan.

In case you missed it, catch up with the Big Ideas Pitch Event by visiting our website:

Winning teams can be awarded up to $50,000 to fund their innovative projects. The 2024 winners will be announced on June 13. Finalists in the Big Ideas competition are:

  • Coaching Peripheral Nerve Surgery with Mixed Reality – The Time is Now
    PI/Project Lead – Christopher Dy, MD, MPH, FACS | Associate Professor, Orthopedic Surgery Division of Hand and Microsurgery
    Use Mixed Reality (MR) headsets to assess the efficacy of surgical training for highly specialized procedures, including peripheral nerve surgery
  • Machine Learning Assisted Diagnosis of Delirium (ML-ADD)
    PI/Project Lead – Robert Young, MD, MS | Associate Professor, Division of Hospital Medicine and General Medicine & Geriatrics at Washington University School of Medicine
    Build an inpatient floor delirium machine learning (ML) model based on the Barnes-Jewish Hospital two-step delirium detection system to better risk-stratify patients and deliver an intensive surveillance and management system
  • Addressing Wait Time Issues in Primary Care
    PI/Project Lead – Nicholas Roth | Patient Experience Manager
    Leverage technology to improve patient communication and team member education/training to proactively reduce patient wait times for primary care visits
  • Presenting Patient Histories as Stories
    PI/Project Lead – Caitlin Kelleher, PhD | Associate Professor, Computer Science and Engineering
    Utilize a story format for patient prior history and hospital care to enable clinicians to more efficiently review patient histories and more accurately recall the details for their patients
  • Multimodal Patient Education Initiate to Improve Outcomes in Hepatopancreaticobiliary Surgery
    PI/Project Lead – Natasha Leigh, MD | Director of ERAS for Hepatopancreaticobiliary Surgery
    Assess the use of multimodal patient education to impact postoperative complications, hospital length of stay, readmission rates, and adherence to postoperative milestones
  • Harnessing Machine Learning for the Transition to Automated Healthcare-Associated Infection Surveillance
    PI/Project Lead – Jonas Marschall, MD | Professor of Medicine, Division of Infectious Disease
    Create and assess performance of an automated, machine learning-assisted surveillance module for the three reportable HAIs in comparison to current state manual processes


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