Document Type


Publication Date

Fall 9-9-2014


Overview: Learning healthcare systems use routinely collected electronic health data (EHD) – known as “observational data” – to advance knowledge and support continuous learning within comparative effectiveness research and patient-centered outcomes research. Despite the increasing sophistication of analytics and data, analysts are still unable to confidently infer causal relationships from observational data. However, effective framing of research questions, careful study design, and appropriate analytical methods can improve these inferences and the utility of EHD.

This webinar discussed approaches to using observational data to improve performance in learning healthcare systems, including how to frame research questions effectively and how to apply study design and analytical methods to ensure rigorous results.

Learning Objectives:

At the conclusion of the session, participants were able to:

  • Understand approaches to study design that can be applied to EHD in learning healthcare systems
  • Understand how to frame research questions to effectively leverage EHD
  • Learn about methods from a variety of fields that can be used to analyze EHD in learning healthcare systems.

Course Level: 101 (Introductory)

Acknowledgement: This webinar was brought to you by AcademyHealth's EDM Forum, a cooperative agreement from the Agency for Healthcare Research and Quality, Grant #U18 HS022789-01. To learn more about the EDM Forum, please visit

Faculty: Erin Holve, Ph.D., M.P.H., M.P.P., AcademyHealth (moderator); Michael A. Stoto, Ph.D., Georgetown University School of Nursing and Health Studies; Neil S. Fleming, Ph.D., Baylor Scott and White Health and Hankamer School of Business, Baylor University; Brian S. Mittman, Ph.D., VA Center for Implementation Practice and Research Support and Kaiser Permanente Southern California Department of Research and Evaluation; Elisa Priest, Dr.PH., Baylor Scott and White Health Center for Clinical Effectiveness; Lucy Savitz, Ph.D., M.B.A., Intermountain Healthcare

Streaming Media

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.