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Automated Point of Care Recognition of Innocent Still's Murmur in Children
- Raj Shekhar, PhD, PI
- Robin Doroshow, MD, Clinical Lead and Co-PI
- Sukryool Kang, PhD, Postdoc Fellow
- James McConnaughey, BS, Research Engineer
The goal of this project is to develop a mobile device-based digital stethoscope accompanied with a highly accurate computer algorithm to discriminate benign Still’s murmurs, that account for 90 percent of diagnosed murmurs in children, from pathological murmurs. Unnecessary referrals by pediatricians to pediatric cardiologists and testing cost the healthcare system more than $500 million. Through our device, pediatricians could identify Still’s murmur in the office setting without needing expert consultation. The device could also help new pediatricians develop the necessary auscultation skill to identify Still’s murmur.
Counting all pediatricians as users of our product, we estimate the total addressable market for our product to be $38 million. Our "lean startup" approach, inspired customer discovery process has validated that the potential annual savings of hundreds of millions of dollars is a strong value proposition for managed care organizations (MCOs) and health management organizations (HMOs). Consequently, MCOs, HMOs, and their network of pediatricians are expected to be the early adopters of our product.
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