As healthcare organizations gain access to more and more data, they rely increasingly on complex systems and predictive tools to make sense of it all. This has led to a divide between those who perform data analysis (programmers, statisticians, database administrators) and those who make decisions (physicians, insurance administrators, policy makers). In addition, the needs of those users are fairly heterogeneous, even a on a single data set.
In this presentation, we will show a working system that bridges the gap between data analysis and decision making using a carefully composed set of big-data technologies mated with an interactive, high-level interface. By leveraging a powerful backend infrastructure and an intuitive set of analytical tools, health professionals ranging from physicians to insurance analysts can perform interactive, real-time analysis on all data within their enterprise.
About Lauren Chaparro
Lauren Chaparro is an Engineer and leads Palantir Health business development. Before joining Palantir, Lauren was a Life Sciences investor at Health Evolution Partners, a growth-stage private equity fund led by Dr. David Brailer. Previously, she was as a consultant at the Parthenon Group, focused on the healthcare and private equity practices. Prior to Parthenon, Lauren worked at Google, Inc., including membership on the Google Health team.
Lauren graduated cum laude from Princeton University, majoring in Molecular Biology and the Woodrow Wilson School of Public and International Affairs. She received her MBA from the Stanford Graduate School of Business.
About Ari Gesher
Ari Gesher is a software/systems engineer with a lot of experience building big, real-world systems.