Webinar: Leveraging Artificial Intelligence (AI) and Analytics
to track Disease & Pandemic outbreak, surveillance and rapid response
Believe it or not, the medical community has used a deeper understanding of the relationship between population health and geography to improve outcomes since the mid 19th century. Back then, John Snow, also known as the father of modern epidemiology, made a map of London Cholera cases and traced the source of a devastating outbreak of the disease to a contaminated source of water.
Today, global health organizations and healthcare providers can leverage sophisticated descriptive, spatial and predictive analytics, to predict the spread of infectious disease and epidemics, enable surveillance and rapid response. Actionable insights from self-service Artificial Intelligence (AI) and Analytics platforms will empower business and clinical leaders in Healthcare Provider and Public Health organizations to proactively forecast and deploy doctors, nurses, technicians, drugs, devices, testing kits and supplies to deliver high quality care in response to a surge such as the one we are witnessing at this time with the Global Pandemic.
In this webinar, Deanna Sanchez, Alteryx ACE, and PK Practice Lead and Andy De, Senior Director, Healthcare and Life Sciences Solutions Strategy from Alteryx will briefly unpack the history of geospatial epidemiology and also present relevant customer case studies. The presentation will also deliver a step-by-step demonstration on how to integrate real-world data on diseases and epidemics with self-service analytics to deliver actionable insights to enable rapid response to a disease outbreak or pandemic.
Key takeaways will include:
1. The link between geography and the spread of infectious disease
2. How to use self-service analytics and AI to visualize relevant data quickly and at scale
3. Sources of public data you can leverage to get started now