Utilizing Patient Data to Drive Treatment in a Behavioral Health Setting

Oconomowoc based, Rogers Behavioral Health has become the largest non for-profit provider of Behavioral health treatment in the United States. Through the delivery of this specialty behavioral care, the organization has created a structured system of collecting high fidelity patient reported outcome measures. These measures range from symptom specific measures to quality life. This talk will focus on the system of data collection for the patient reported outcome data as well as how it is translated back into data driven treatment protocols. Additionally, the speakers will discuss how machine learning algorithms are being created off this dataset to be better identify individuals at risk for relapse or suicidal ideation. Topics covered will included, data collection, structure of data science team, translation of data into practice, and machine learning algorithms.

Brian Kay, MS, serves as the vice president of Continuous Improvement at Rogers Behavioral Health, utilizing lean methodologies to improve clinical quality, operational effectiveness, and data science. He holds a Bachelor of Arts degree in psychology from Marquette University. He earned his Master of Science in healthcare informatics from the University of Wisconsin–Milwaukee and is currently pursuing his doctorate in Translational Bioinformatics at UW-Milwaukee.

Jessica Cook, MS, serves as the Manager of Clinical Effectiveness at Rogers Behavioral Health, utilizing data science and translational bioinformatics to help better improve patient outcomes. She earned her Master of Science in Applied Economics from the UW– Whitewater and is currently pursuing her Master of Business Administration from UW-Whitewater.

Schedule:
5:15pm - 6:00pm - Networking, Food and Beverages
6:00pm - 7:00pm - Presentation
7:00pm - 8:00pm - Networking

Meetup Sponsors: Splunk> The Data to Everything Platform