Predictive healthcare analytics refers to the use of advanced data analytics techniques, such as artificial intelligence, machine learning, data mining, and statistical modeling, to forecast future health outcomes based on historical data. For example, predictive tools can analyze patterns in patient records to determine the likelihood of hospital readmissions or assess medication adherence to predict chronic disease onset.
Applications of predictive analytics in healthcare:
1.Supporting personalized care.
2.Monitoring population health.
3.Reducing chronic diseases.
4.Streamlining resources.
5.Strengthening cybersecurity.
The impact of predictive analytics can be seen in its successful use across different healthcare scenarios, such as Reducing readmissions, Reducing appointment no-shows, Maintaining equipment proactively etc. Predictive analytics helps healthcare providers anticipate challenges, improve patient care, and use resources more efficiently.
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