The development of data science and predictive analytics in healthcare is incredibly useful and important in ensuring the best possible outcome of patients’ healthcare plans. However, and understandably, there are several concerns regarding the technology. If the correct steps are taken to make certain the technological abilities are used correctly and in concert with healthcare providers’ expertise, the positive effects of predictive analytics can substantially increase the quality of healthcare.


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Predictive analytics can bring the best possible healthcare to every patient. For example, data science can predict which, if any, patients have tumors or which patients show a risk of re-admission. The health service provider can then reach out to those patients and bring them the care that they need. There are also many less obvious ways to implement data science in the healthcare field.


While data science brings up several potentially positive aspects, skeptics say that such medical information should not be as accessible. Others note that results drawn from predictive analytics are not reliable enough and would put the patient’s health at risk with expensive and unnecessary procedures. On the other hand, a medical doctor has the final say as to what to do, and there are positive elements for the future of technologies.

Healthcare providers have the ability to combine medical records with external data to assist patients in becoming more intimately connected with their personal experiences in healthcare.


Predictive analytics can also be used to produce feasible treatment advice for a patient. Patients’ home addresses can be used with other available information to educate patients on the number of practicing surgeons close by or other related information that can aid in providing services otherwise unavailable. A patient can then use this information to design a treatment plan that is convenient and best for them. Plus, similarly made predictive models can be constructed to predict the development of diseases. As a result, a medical team can look at a trajectory of a patient’s illness and use it to determine when/how to continue on to the next step of their healthcare plan.


Data scientists play an integral role in the healthcare industry. Using predictive analytics has proven to thoroughly enhance patients’ conditions. However, data science must be implemented with the intention of improving patients’ lives, not only for the sake of convenience.’


To find out more about predictive technologies and their effect on healthcare services, check out the source article at Data Science Blog.


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