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.
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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.