Gain actionable insights into how machine learning, data analytics, and subgroup analysis can be applied to make clinical decision support (CDS) systems better at diagnosing and treating disease. In this report, Paul Cerrato, former editor of InformationWeek Healthcare, discusses the algorithms that healthcare executives, technologists, and physician leaders need to construct these diagnostic and therapeutic systems.
To illustrate the power of AI, this report also delves into several cutting-edge IT initiatives at Mayo Clinic designed to improve diagnosis and management of clinical depression, cardiovascular disease, and cancer. Each of these projects can serve as the impetus for entrepreneurs to create similar products and services.
Three primary takeaways from this report include:
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