Enabling Value-Based Health Care
Using Modern Analytics Tools
Daniel Pichardo and Dr. Xue Yang
UMBC will have its second Data Science meetup on February 27 at UMBC University Center, Room 310. Attendance is free, register here. Visitors can park for free (after 4:00 pm) at the parking lots marked with black arrows in the event photo. The program is as follows
(5:30 – 6:00 pm) Social
(6:00 – 6:50 pm) Talk & Demo: Enabling Value-Based Health Care Using Modern Analytics Tools
(6:50 – 7:15 pm) Question and Answer Session
Speakers: Daniel Pichardo and Dr. Xue Yang
Speaker Bios: Danny Pichardo is a Senior Data Scientist at Newwave. He previously worked as a Statistician at the American Urological Association. He holds a B.Sc. In Statistics from UMBC. His interest and experience include prediction modeling and causal inference using real world health data.
Xue Yang is a data scientist with a solid medical background. At NewWave, Xue works on data analysis and AI/ML model exploration that support data exchange/feedback platform and AI/ML projects. Before joining NewWave, she was building AI/ML models using medical insurance claims data at CareFirst. Xue has a M.P.S. in Data Science from UMBC, a Ph.D. on Genetics and an M.D. from China, and was a postdoc at Johns Hopkins Medical School at the Institute of Genetic Medicine.
Abstract: Value-based healthcare is a healthcare delivery model in which providers are paid based on patient health outcomes. Value-based healthcare requires measuring clinical outcomes and spotting population trends while incentivizing health care providers for the delivery of better healthcare.
New Wave is building next-generation data platforms to improve health outcomes and reduce waste by transforming the wealth of data CMS currently collects, which allows the Center for Medicare and Medicaid Innovation to fulfill its objectives of delivering value-based health care for the citizens. We leverage cloud-based tools such as Snowflake, Looker, and Databricks to provide health care providers a flexible platform to explore their patient’s data, as well as enable data scientists to perform efficient data analyses, model development, and reporting. We will demo how these tools can seamlessly work together, enabling every step of the data science process. Please join us on this journey of transformation as we attempt to modernize and innovate in healthcare.
Parking: Visitor parking spaces are located at Administration Drive Garage upper level, Commons Garage first level, Walker Avenue Garage upper level, Lot 9 and Lot 7 on Walker Avenue. Visitors do not need to pay for parking after 4:00 pm. Register here.