Skip to content

Enabling Value-Based Health Care Using Modern Analytics Tools

Photo of Ergun Simsek
Hosted By
Ergun S. and 2 others
Enabling Value-Based Health Care Using Modern Analytics Tools

Details

We will have our second meeting on February 27 at UMBC University Center, Room 310. 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 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 join NewWave, she was building AI/ML models using medical insurance claims data at CareFirst. Xue has a M.P.S of Data Science from UMBC, a Ph.D. on Genetics and a M.D. from China, and was a postdoc at Johns Hopkins Medical School at 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 platform to improve health outcomes and reduce waste by transforming the wealth of data CMS currently collects, which allows 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.

Photo of UMBC Data Science Meetup Group group
UMBC Data Science Meetup Group
See more events
UMBC
1000 Hilltop Circle · Baltimore, MD