Imagination Category Finalists
Brad Walker – Orthopedic Wellness Laboratories, Christian Severt – CuraCloud, David Atkins, PhD – UW / Lyssn.io, Kerry M. Curran – Lung Technologies, Lynn McGrath, MD PupilScreen, Mahesh Mulumudi, MD -Steth IO, Maitreyee Joshi – Microsoft, Michele Mehl – Excy, Peter Harris – Longevity Surgical, Inc., Ran Baror – Gulp Baby, Shawn Iadonato, PhD – Kineta, Sundar Balasubramanian – Xealth | Photo credit: Seattle Health Innovators, 2018

On December 6, Health Innovation NW, a Washington non-profit group, held the Fourth Annual Seattle Health Innovators Awards Ceremony at the Cambia Grove in Seattle. The Health Innovation NW event attracted nearly 150 people, honored 24 nominees, and celebrated the winners in four categories: Collaboration, Customer Focus, Imagination, and Perseverance.

The Imagination category brought in the largest number of nominations with a roster of twelve. First place was won by University of Washington neurosurgical resident, Lynn McGrath, MD. Lynn and his team created PupilScreen, a phone-based app aiming to be a screening tool for traumatic brain injury such as concussion, not only useful in the hospital setting, but at the ball playing field.

Second place was won by Shawn Iadonato, Ph.D., CEO of Kineta, a Seattle biotechnology company with several drugs in the pipeline, one which is a pain therapy acting on a physiologic pathway such that it would be a nonaddictive alternative to opioids.

Christian Severt, the Information Security leader at CuraCloud, received an honorable mention in the highly competitive Imagination category for CuraCloud’s Clean Room project.

Learn More About the Clean Room project

Christian Severt is the Information Security leader at CuraCloud, a healthcare AI startup in Seattle. He is a former US military Information Technology expert and has worked in the healthcare field for the past three years.

Soon after joining the CuraCloud team he led the project to provide a HIPAA-compliant method for receiving data from healthcare providers to be used to build and test our deep learning models. He led the selection process, chose a consulting firm to support the effort and then led the design effort for our “Clean Room” project.

The model resulted in a new capability that will be useful for operating a HIPAA “hybrid” model in which a limited number of employees have access to Protected Health Information but ensures that AI developers only use de-identified data.

The Clean Room project provides a way for healthcare providers with whom CuraCloud has a Business Associate Agreement to upload encrypted data and provides audit trails through the data cleansing process. After de-identification, the data may be used for IRB-approved research projects without risking the loss of privacy.

This innovation addresses one of the key blockers in developing deep learning models by providing an effective way to protect patent privacy.