Our new digital health series offers four programs that provide executives in the healthcare and life science industries with immediate, actionable insights in light of the current pandemic and its economic aftermath. The second program in the series is Health Data Science (Live Online), taught by Columbia Business School Professor Asaaf Zeevi and Chair of digital health testing center HITLAB, Stan Kachnowski.
 

Dates: May 11–13 and 18–20, 2021
Duration: 6 days over 2 weeks
Time: 11 a.m.–2 p.m. ET per program day
Format: Live, virtual sessions
Fee: $4,950

This program earns 3 certificate credits. Learn more.

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Program Overview

The Health Data Science (Live Online) program will prepare you for the more complex elements of digital health. Delving into the world of algorithms and analytics, this program will explore the various technologies and techniques that are used every day around the world in amplifying the ability for healthcare data to provide value to large enterprises in a variety of sectors. The learning objectives will be driven by the needs of executives around how to apply data science in healthcare & life sciences today.

Learning Outcomes

✓ Understand the terms, techniques, and technologies driving data science in healthcare and life sciences today

✓ Learn how to apply algorithms, statistical inferences, various computer systems, analytics, and visualization, to enhance healthcare and life sciences value creation

✓ Practice how to and when to identify, evaluate, and apply data science in healthcare and life sciences

✓ Learn in a high-touch, intimate setting from a range of academic and industry experts

Topics

Day 1

• Introduction to Health Data Science
• Artificial Intelligence

Day 2

• Leveraging Predictive Analytics
• Predictive Analytics and Machine Learning

Day 3

• Predictive Analytics and Machine Learning, Cont.
• Digital Strategies for Operational Excellence

Day 4

• Managerial Statistics
• Applying Data Science Tools & Techniques to Optimize Managed Care Performance in the US

Day 5

• Case Studies in Precision Medicine
• The Importance of Data Visualization as the Last Mile of the Health Data Science Marathon

Day 6

• Business Analytics and Data Science
• Harnessing Real-World Data for Regulatory Use and Applying Innovative Applications

Schedule

» Download the program schedule here.

AMA PRA Category 1 Credits™

The October 13–22, 2020 iteration of the Data Health Science program has been approved for up to 18 AMA PRA Category 1 Credits™ to “serve to maintain, develop, or increase the knowledge, skills, and professional performance and relationships” as stated in the AMA’s definition of CME†.

Faculty

Asaaf Zeevi
Kravis Professor of Business
Columbia Business School

Assaf Zeevi is the Kravis Professor of Business at Columbia Business School. His research and teaching interests lie at the intersection of operations research, statistics, and machine learning. He has received several teaching and research awards including the CAREER Award from the National Science Foundation, the IBM Faculty Award, and the Google Research Award. He also serves on various editorial boards and program committees in the operations research and machine learning communities, as well as scientific advisory boards for startup companies in the high technology sector.
 

Stan Kachnowski
Chair
HITLAB

Stan Kachnowski is the Chair of the digital health organization HITLAB. He is an Oxford trained researcher who has taught over 5,000 students from Columbia University, IIT-Delhi, and Quinnipiac College. His teaching and research over the past 25 years include educating graduate-level and executive students on four continents and conducting extensive studies on the efficacy and diffusion of digital health, including electronic data capture, ePRO, wearables, and predictive algorithms.

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Questions?

Please contact our Faculty Co-Director Stan Kachnowski at [email protected].