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Can Predictive Analytics Enable Healthcare To Have 100% Accuracy?

02 September 2016


Despite proper technology framework in place and new technology we fall short due to lack of proper infrastructure and skilled resource

Every one of us have been a patient in past, during which, we always demand best possible medical care from healthcare practitioners and providers. While receiving medical assistance, we presume healthcare providers to be experts 100% of the time; assuming them to provide best possible diagnosis without any exception. In reality (and unfortunately), for most of the time, this is not what gets delivered to us.

There is no doubt that experienced healthcare providers and physician practitioners are extremely knowledgeable, very well read and fully trained to handle their expertise area. But it is humanly impossible to leverage 100% of their knowledge instantly while treating their patients for every medical situation. Moreover, Providers will not have all the desired data points at their fingertips needed to compare treatment outcomes. Even if they have access to the massive amounts of historical data points, they would still need time and expertise to analyze that information and integrate it with the patient's own medical profile.
This gap between expectation and reality might lead to inappropriate diagnosis, readmissions, diagnosis delays, higher practitioner occupancy, issues with claim management and the list continues.

So, in spite of healthcare providers at their best, perfect healthcare service with 100% accuracy would be little too much to ask for. Looking at seriousness with which healthcare sector is being taken, gaps between expectations and outcomes will continue to grow which will not be the best situation to live with.

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