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Predictive Analytics – Transforming Healthcare Industry Experience

By enterpriseitworld on 09 September 2016

Every one of us must have visited Healthcare Practitioners or Providers in past, demanding best possible diagnosis and treatment outcomes. In the process of receiving medical assistance, we presume healthcare providers and doctors to be super humans, assuming them to provide flawless diagnosis every single time. In reality (and unfortunately), this is not what gets delivered to us – as for most of the time, it is too much to ask for a healthcare provider to match our expectations.

There is no doubt that experienced Healthcare Providers and Physician Practitioners are extremely knowledgable, very well read and fully trained to handle their expertise area. But for a practitioner to synthesize complete medical knowledge while treating their patient is a supreme ask. 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 available information to be able to integrate them with the patient’s medical profile, resulting in gap between treatment expectation and actual outcomes. More often than not, this gap leads to situations like diagnosis errors and delays, patient readmissions, in-efficient practitioner occupancy, claim management issues and many more.

So, inspite of healthcare providers trying their best, a perfect healthcare service with 100% accuracy would be very tough ask. Looking at the rate with which healthcare sector is growing, gaps between expectations and outcomes will continue to grow which will further strengthen limitations that we already have been living with.

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