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When it comes to providing high-quality medical care, clinicians can’t outsource human touch and personal intuition.
The evolution of predictive analytics, however, is giving providers a helping hand to do their jobs even better. Deep access to pools of patient data can be leveraged to adjust care delivery models, improve patient outcomes, and strengthen a hospital’s bottom line.
Delivered at the point of care, detailed insights can be lifesaving. Penn Medicine, for example, uses a program that gleans data from a patient’s electronic health record and a machine-learning algorithm to develop a prognosis score upon arrival.
Beyond saving lives, the effort can reduce operating costs. Nearly two-thirds of executives forecast that predictive analytics will save their systems 15 percent or more over the next five years, the Society of Actuaries survey found.
Continue reading at healthtechmagazine.net
There’s a reason the healthcare industry is shifting toward value-based reimbursement models and away from volume-based care. Value-based care reimburses healthcare providers based on the quality of …
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