2022 Big Ideas Pitch Event

2022 Finalists

  • Artificial Intelligence Based Treatment Planning Workflow for Decision Making in Proton Therapy, Project lead: Baozhou Sun, PhD
  • Biomarker Technology for Early Prediction of Chemotherapy Induced Peripheral Neuropathy, Project lead: Simon Haroutounian, PhD, MSc
  • Care Transition TRUST; TRust through Understanding via Smart use of Technology, Project lead: Mark Williams, MD
  • Evaluation and Validation of a Mobile Application for Patient Functional Assessment in Spinal Surgery, Project lead: Camilo Molina, MD
  • Expediting Radiotherapy Initiation via a Simulation Free Workflow, Project lead: Tianyu Zhao, PhD
  • Improving Diagnosis of Superimposed Preeclampsia in Pregnant Patients: A Wearable Device for Non-invasive Continuous Monitoring of Fluid Dynamics, Project leads: Ebony Carter, MD, MPH, and Valene Garr Barry, PhD
  • Intelligent Clinical Decision Support for Perioperative Blood Management, Project lead: Sunny Lou, MD, PhD
  • Reduction of Blood Culture Contamination Through a Data Driven Targeted Education Campaign, Project lead: Mark Zaydman, MD, PhD
  • Remote Blood Pressure Monitoring, Project lead: Jennifer Schmidt, MD
  • Using Three Dimensional Movement Data and Deep Learning to Predict Recovery in Cervical Myelopathy, Project lead: Brenton Pennicooke, MD
2021 Big Ideas Pitch Event

2021 Panel of Judges

  • Michael Avidan (WUSM)
  • Deb O’Dell (BJC)
  • John Lynch (BJC)
  • Clay Dunagan (BJC)
  • Ebony Carter (WUSM)
  • Thomas Kannampallil (WUSM)

2021 Big Ideas Finalists

  • Determine if step counts recorded in fitness trackers worn by adolescent and young adults undergoing cancer treatment correlate to Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaire responses, PI / Project Lead: Amy Armstrong, MD
  • Leverage digital device to determine the efficacy of an incentive spirometer to improve pulmonary function in the preoperative and postoperative surgical setting, PI / Project Lead: Chet W. Hammill, MD
  • Development and implementation of a statistical model to identify malfunctioning clinical decision support, PI / Project Lead: Keith F. Woeltje, MD, PhD
  • Implementation of mobile health technology in the form of wearable sensors for pre-transplant patients assessed as meeting the condition of frailty, PI / Project Lead: Kevin M. Korenblat, MD
  • Collaboration to develop technology that allows low-risk patients to start heart rhythm medications safely at home, PI / Project Lead: Albert Lai, PhD
  • Expansion of MY HEART clinic services to a virtual platform with integration of nurse-based nutrition counseling, PI / Project Lead: Kathryn J. Lindley, MD
  • Prediction of persistent and profound intraoperative hypoxemia in pediatric patients to mitigate life threatening events and improve patient safety, PI / Project Lead: Michael C. Montana, MD, PhD
  • Using mobile health technology to capture physical, functional and psychosocial features that predict recovery after lumbar fusion, PI / Project Lead: Wilson Ray, MD
  • Hypoglycemia predictor tool, PI / Project Lead: Amy E. Riek, MD
  • Completion of the user-centered design of ENVISION (Engagement and Visualization to Improve Symptoms In Oncology care), resulting in a fully functional version of the digital tool that would address the pressing need for improved symptom management in hospice care, PI / Project Lead: Karla T. Washington, PhD
  • Validation of the first single use, disposable device (i.e., Mercury Patch) capable of performing continuous pressure monitoring and preventing pressure injury development and progression, PI / Project Lead: Amanda Westman, PhD