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Registration and Payment
COVID-19 Update: All course will be held remotely!
Course Date:
Part I: Wednesday, September 20, 2023 from 9:00AM-12:30PM (over Zoom)
Part II: Wednesday, September 27, 2023 from 9:00AM-12:30PM (over Zoom)
Remote Registration:
Remote Registration - Students will have access to audio/video of the course lectures and all course materials
Exercises and group discussion will be held over zoom in September
Remote registration fee - $500
To Register:
Please complete our Registration form through REDCap: https://redcap.mountsinai.org/redcap/surveys/?s=NMW7XM8HPFXKA4A3
After you complete the registration form you will be prompted for payment via electronic fund transfer (Sinai applicants only) or credit card. Payment must be completed to confirm registration.
Course Details
Summary:
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
Where: Courses will be held over zoom
When: The live sessions of the course will take place on September 20th and 27th, 2023
Course Format: Pre-recorded lectures will be provided ahead of the live session of the course. Hands-on exercises and group discussion. will take place during the live portions of the course.
Payment: Fund tranfer or credit card accepted. Further information will be provided once registered.
Background:
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
•Gain exposure to Mount Sinai data resources and COVID-19 research performed at ITE
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.
Professor, Director of the Institute for Translational Epidemiology; Professor, Population Health Science and Policy
Assistant Professor, Population Health Science and Policy; Environmental Medicine and Public Health
Dr. Liu is a chronic disease epidemiologist whose research focuses on geospatial and disparity patterns of environmental exposure and their impact on health and healthcare utilization. She has extensive experience working with large databases such as NHANES, SEER, and SPARCS.
Professor, Population Health Science and Policy
Dr. Egorova is a biostatistician with extensive experience analyzing large healthcare datasets including hospital and state discharge databases, and Healthcare Utilization Project databases such as NIS, NEDS, and KID. She has also analyzed data from Medicaid, Medicare, SEER-Medicare, Truven/MarketScan database and national survey databases such as NHANES, NAMCS, NHAMCS, NHDS as well as the Behavioral Risk Factor Surveillance System.
Rebecca L. Johnson, MBA, Senior Healthcare Management Consultant, Milliman
Ms. Johnson has worked as a consultant at Milliman since 2005 for hospital systems, health plans and pharmaceutical companies.
Samantha Tomicki, MPH, Senior Healthcare Data Analyst, Milliman
Ms. Tomicki has extensive experience using SAS to analyze large health claims databases.
Teaching Assistants:
- Angelo Zegarelli, BS
- Tara Ivic-Pavlicic, MPH
- Matthew Untalan, MPH
Past Course Testimonials
Overall Quality of Course
Would you recommend this course to others?
Overall Quality of Faculty
My knowledge of healthcare data has increased
I plan to make changes to my research practice as a result of this 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”
“Excellent instructors, great list of topics”
“Experienced faculty, well organized, clean communication, exercises helped a lot”
“Amazing instructors, very well organized, great powerpoints, great exercises!”
“As a research faculty, I believe many faculties in Mount Sinai could benefit from this course.”
“I appreciated the mixing of interactive learning activities with the lectures just to help emphasize the take away and applying the concepts reviewed. jam packed content that flowed really well together, also thanks for all the snacks!”
“The content was great. I learned a lot about different kinds of databases and how I might be able to access them.”
Frequently Asked Questions
COVID-19 Update
Q: What are the course materials ?
A: Electronic copies of recorded lectures will be provided to attendees prior to the beginning of the course
Q: What occurs during the live sessions on September 9 and 16?
A: Hands-on exercises, as well as group discussion and questions/answer sessions will occur.
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