Predictive Analytics in
Healthcare: Control Patient
Health through Data Signals

Healthcare organizations receive a huge amount of data every day: patient healthcare data, medical images, insurance claims, and administrative data. To manage the data and have a positive patient outcome, they need to use a 360-degree view of each patient. 

Predictive analytics uses various techniques such as data mining, modeling, and AI and evaluates historical data and real-time data to make predictions about the future.

Using it, healthcare organizations can manage the patient's health history effectively, optimize operations and prevent patient leakage, identify at-risk patient cohorts, and predict a peak of appointments. 

Getting the key signals of patient behavior today, helps to save a life tomorrow. 

In this webinar you will learn:

• How to automate data analysis in healthcare
• How to identify the key signals of patient behavior 
• How to extract insights from healthcare data
• How to build a 360 view of each patient.
  

This webinar will be useful for business leaders, executives, and everyone who’s looking for a smart way to automate the analysis of healthcare data, analyze it faster, and use real-time insights in the treatment.

Happy Intelligent Automation,

Put It Forward team