Top use cases for predictive analytics in Healthcare
Predictive analytics has led to huge improvements across all industries, allows organisations to use historical data to estimate the likelihood of a future event, and to make more informed decisions. In this post, we will be specifically focusing on the impacts on healthcare organisations.
Health IT Analytics gives a comprehensive list of 10 high value use cases for predictive analytics. This includes many examples for directly preventing risks to patients such as deterioration, development of chronic illnesses, suicide and self-harm. Furthermore, there are also examples of how health care providers can use predictive analytics to improve their operations such as managing the supply chain, forecasting appointment no-shows and ensuring data security. In fact, Lillian Dittrick, Fellow of the Society of Actuaries goes as far as to say that: “There is some kind of predictive modeling that could help improve processes in just about any facet of healthcare.”
You can read about all 10 examples that are discussed in the full article here:
Today there are many different degree courses relating to healthcare. But whatever you are studying, from public health to psychology or healthcare management, the Qlik Academic Program is open to you! Our completely free offering to University students and academics provides you with free access to Qlik Sense software and a wealth of learning resources. The aim of the program is to get you up to speed with analytics tools and techniques, so that you can be fully prepared for the modern world of healthcare. Sign up today at qlik.com/academicprogram.