Predictive Analytics in Healthcare: From Data to Better Patient Outcomes

Imagine a patient who had been treated for heart failure, provided with routine advice and guidance, who comes back to the hospital after only three weeks in a state that is even more deteriorated than before; his readmission could easily have been predicted by analysis of a pattern found in his vital signs, his medication compliance, and previous experience. Predictive analytics in healthcare is designed specifically to detect such a risk ahead of time by analysing past and current patient data in order to predict such incidents in advance, rather than reacting after the event occurs. In this article, we are going to explain how predictive analytics actually works, its current state in India, and its relation to patients' healthcare.

What Predictive Analytics in Healthcare Actually Does

In healthcare, the use of predictive analytics incorporates the application of statistical modelling, data mining, and AI to analyse both past and present patient information in order to predict future health events, as opposed to descriptive analytics, whose sole purpose is to describe what has already happened.

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