With any successful process, challenges are always a concern. Although technology can produce algorithms, human error is possible. Skill and knowledge to appropriately interpret and share data are essential to the implementation of changes in healthcare. Predictive analytics is based on past and present data but does not account for unpredictable changes that may affect outcomes.
In the world of technological advances, predictive analytics plays a significant role. Early disease detection, production of time and cost-saving processes, and enhancement of medical decision-making techniques are expected outcomes of predictive analytics. As problems are identified, predictive analytics can change the healthcare system to a preventative healthcare model.
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