Ask the Expert Webinar Series

How Do I Build and Analyze Patient Cohorts Using SAS® Health?

On-Demand • Cost: Complimentary

About the webinar

Join this webinar to learn how SAS Health provides an interactive, drag-and-drop interface for querying and building cohorts with temporal relationships – no coding required.

You can easily explore cohort characteristics and the effect of inclusion/exclusion criteria on patient populations to determine study feasibility.

You can also save cohort definitions for reuse, modify them and apply them to other real-world data assets for comparisons across populations, which saves time and resources.

You can validate results and do further analysis using in-memory analysis and visualization in SAS or other technologies (e.g., R, Python and third-party visualization tools).

You will learn how to:

  • Prepare and analyze health data for the purposes of building relevant and repeatable patient cohorts.
  • Use patient cohorts for downstream analyses, including patient safety, clinical trial design, patient outcomes, program evaluation and population health studies.
  • Generate actionable health insights for the purposes of clinical decision support, grant writing or policy development.
  • Bridge the divide between data management and exploration for critical interdisciplinary work in a single platform for analytic interoperability, fostering collaboration within and between organizations.

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About the Expert


Sherrine Eid
Global Lead for Real-World Evidence and Epidemiology, SAS

Sherrine Eid is an infectious disease epidemiologist with more than 20 years of experience in real-world evidence, epidemiology and biostatistics. She worked in global health development with Egypt, Yemen, Uganda and other government health systems. She served as the District Epidemiologist for the City of Alexandria, VA, where she led the Epi Response Team on outbreak investigations and contact tracing. She also co-authored outcomes research with health care providers at a large health network.
 

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