Course Details


This workshop will teach participants the nuts and bolts of obtaining and working with healthcare datasets for population health research. Participants will learn how to link datasets, develop research questions, and conduct analyses using healthcare datasets. No prior experience working with healthcare data necessary!

January 2018 Course

January 2018 Course

Where: Icahn School of Medicine at Mount Sinai, New York, NY.

When: The class will meet from 9:00 to 5:00 pm 4/27 and 4/28 with a 1-hour lunch break. Coffee and light breakfast will be provided

Course Format: A mixture of lectures, hands-on exercises and group discussion

Payment: Sinai faculty, students and staff also receive $100 discount. There is an additional $100 early-bird discount if you register by March 1st!!


With the increasing availability of large healthcare datasets and accompanying technology to process big data, the applications of administrative data for research purposes are anticipated to play an increasing role in population health research. However, because health claims data are collected for billing not for research purposes, challenges remain in using this data for research.

Objectives & Goals:

•To teach participants how to successfully obtain and use healthcare datasets for population health research.

•Using the knowledge gained by this course, have participants develop a research question

Topics Covered:

•Practical hands-on guidance on dataset availability, access and restrictions, and the IRB approval process

•Familiarity with a range of data sources including Medicare, SEER Medicare, Medicaid, state and city-level health data, international healthcare registries, and individual hospital system electronic health records (EHR)

•Applications such as linking survey to claims data and geospatial data

•A deeper understanding of methodological challenges in using administrative data

•Mastery of advanced topics including working with diagnostic and procedure codes and risk scores

•Exposure to a range of research topics including cancer, palliative care, and environmental epidemiology


Course Faculty

The faculty of the Institute for Translational Epidemiology (ITE) and Center for Biostatistics of the Icahn School of Medicine at Mount Sinai (ISMMS) includes distinguished members from throughout the Icahn School of Medicine. 


Emanuela Taioli, MD, PhD 


Professor, Director of the Institute for Translational Epidemiology; Professor, Population Health Science and Policy


Bian Liu, PhD


Assistant Professor, Population Health Science and Policy; Environmental Medicine and Public Health
Dr. Liu is a cancer epidemiologist whose research focuses on geospatial and disparity patterns and environmental exposures to pollutants.  She has extensive experience working with NHANES, SEER, and SPARCS data.


Katherine Ornstein, PhD, MPH


Assistant Professor, Geriatrics and Palliative Medicine
Dr. Ornstein's research focuses on older adults with serious illnesses and their families at the end of life. She has extensive experience working with HRS, NHATS, Medicare claims data, and international registries.


Natalia Egorova, PhD


Associate Professor, Population Health Science and Policy
Dr. Egorova is a biostatistician with extensive experience analyzing large healthcare datasets including NHDS and SEER Medicare.

Rebecca C.  Johnson, MBA, CHFP,  Senior Healthcare Management Consultant, Milliman
Ms.  Johnson has worked as a consultant at Milliman since 2005 for hospital systems, health plans and pharmaceutical companies.  She is also a Certified Healthcare Finance Professional.

Samantha Tomicki, MPH,  Senior Healthcare Data Analyst, Milliman
Ms.  Tomicki has extensive experience using SAS to analyze large health claims databases.

Teaching Assistants:

  • Stephanie Tuminello, MPH
  • Wil Lieberman-Cribbin, MPH
  • Naomi Alpert, MS

Past Course Testimonials

I plan to make changes to my research practice as a result of this course


Overall Quality of Course

Exercises were great; opportunities to work with the other people in the class were great. Question and Answer was super helpful…Really liked Ornstein’s real-life research examples, it helped form some ideas of when and where to use something
— Participant, January 2018 Course
Excellent instructors, great list of topics
— Participant, January 2018 Course
Experienced faculty, well organized, clean communication, exercises helped a lot
— Participant, January 2018 Course