Hear the 2024 finalist teams present their Big Idea to a panel of judges from WashU School of Medicine and BJC HealthCare for a chance to win $50,000 in funding.
The Big Ideas grant competition is excited to collaborate with the Pittsburgh Regional Health Initiative for the upcoming 2024-25 competition. In addition to the standard $50,000 Big Ideas grant, a selected team will receive an extra $10,000 from the Patient Safety Technology Challenge. This additional award is specifically designated for projects utilizing technology to tackle patient safety issues in the following areas: Medication-related, medical complications with patient care, procedure/surgery-related, infections, diagnostic errors.
Presenting Teams
PI / project lead in bold
- Coaching Peripheral Nerve Surgery with Mixed Reality – The Time is Now
Christopher Dy, MD, MPH, FACS, Associate Professor, Orthopedic Surgery Division of Hand and Microsurgery, School of Medicine, Washington University in St. Louis
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)
Robert Young, MD, MS, Associate Professor, Division of Hospital Medicine and General Medicine and Geriatrics, School of Medicine, Washington University in St. Louis
Build an inpatient floor delirium machine learning (ML) model based on the BJH 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
Nicholas Roth, Patient Experience Manager, BJC Healthcare
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
Caitlin Kelleher, PhD, Associate Professor, Computer Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis
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
Natasha Leigh, MD, Director of ERAS for Hepatopancreaticobiliary Surgery, School of Medicine, Washington University in St. Louis
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
Jonas Marschall, MD, Professor of Medicine, Division of Infectious Disease, School of Medicine, Washington University in St. Louis
Create and assess performance of an automated, machine learning-assisted surveillance module for the three reportable HAIs in comparison to current state manual processes