Predictive analytics in healthcare transforms how medical experts use data science services for precise medical diagnosis, patient health monitoring, general medicine and treatment, high-risk disease forecasts, and more.
Not just for patient care, medical specialists and researchers are using predictive AI to predict pandemic-like emergencies.
There is much more to delve into the role of predictive healthcare analytics and its benefits. If you're a healthcare group, a medical health officer, a healthcare researcher, or a chief medical analyst, this blog is a must-read for you.
As per the GlobeNewsWire's report, the worldwide healthcare predictive analytics market will grow at a CAGR of 22.23% to be valued at $30 billion by 2028.
For a long time, the medical community has been trying to organize their tremendous amounts of data and derive value from it for patient care. Now, with predictive analytics, there lies an opportunity to revolutionize the global healthcare industry.
What is Predictive Analytics in Healthcare?
The healthcare and medical industry has vast amounts of data.
From research papers and academic teachings to patient data and lab tests, big data insights and records offer many opportunities for modern computational tools to analyze and derive value.
Source by: https://www.bluent.net/blog/predictive-analytics-in-healthcare/
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