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Webinar: Data Science Applications in Laboratory Medicine

October 6 @ 1:00 pm - 2:00 pm

“The practice of medicine is changing rapidly to include the introduction of automated and algorithmic solutions to clinical and operational challenges. These approaches represent a dramatic improvement over manual paper-based healthcare practices.

In this webinar, Dr. Daniel Holmes will provide examples of data analytics applications in laboratory medicine to demonstrate how laboratory data can be leveraged to improve healthcare delivery and operations. Exploration of data analytic tools, including select applications of machine learning, will be covered to illustrate how they can be utilized to automate manual laboratory processes, develop new quality monitoring and assurance tools, and support clinical/operational decisions. Dr. Holmes will demonstrate how the analysis of laboratory data yields information that is necessary for the evidence-based planning and decision making in the health care system.”