Predictive analytics is the ability to use historical and real-time data to predict future outcomes. It is helping professionals in numerous industries get ahead of some of their most complex problems. In the healthcare industry, predictive analytics has the potential to transform the delivery of care in and out of clinical settings.  

Predictive analytics relies on data, predictive algorithms, and models: 

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Predictive Analytics in Healthcare 

Most of the emphasis in healthcare is on treating sick patients and managing those with chronic illnesses. Although preventative care is a focus of clinicians and hospitals, the episodic nature of care delivery where patients could only be monitored in clinical settings presented an almost insurmountable challenge to providers looking to close the continuity of care gap.  

With the rise of healthcare IoT in the form of wearable devices as well as remote patient monitoring that allows data from these devices to be captured, health care practitioners can now “see” what happens to their patients when they leave the hospital or care facility. Predictive analytics takes this shift toward preventative care a step further, allowing the data compiled to be used in making predictions about future health care needs once familiar patterns begin to emerge.  

On the whole, predictive analytics can improve the business side of health care delivery—helping to reduce waste and leading to better resource management—as well as enhance the accuracy of healthcare diagnoses and treatments, often helping providers begin treatment courses before an illness or disease has advanced to a critical stage. It can also help with assessing potential risk factors for public health. 

Predictive Analytics and Telehealth 

Predictive analytics and telehealth both bring measurable improvements to health care delivery. Combined, they can accelerate these improvements, particularly to those who need them the most. Predictive analytics will help make sure that telehealth applications are more targeted and successful. Since predictive analytics can help verify exactly where interventions are needed, and telehealth can help make sure those interventions are available to people who are away from clinical settings by necessity, the result will be improved patient outcomes and better managed health care resources overall. Telehealth can be applied not just for live video interactions with patients but also to push out just the right content or message, or to intervene when an alert is triggered that an unwanted event is on the horizon.