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Clinical decision support tools for risk prediction are readily available, but typically require workflow interruptions and manual data entry that limit adoption. Due to new data interoperability standards for electronic health records (EHRs), other options are available.
As a clinical case study, we built a scalable, web-based system to automate calculation of kidney failure risk and display clinical decision support to users in primary care practices.
In addition, this on-demand session reviews issues and techniques to prepare clinical data from any EHR for use in analytics generally across providers.
In this session, viewers will learn:
|Lipika Samal, MD MPH
Harvard Medical School
Chief Strategy Officer
Co-founder and Partner
New Reality Media LLC
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