For most, the term “analytics” refers to any kind of data that has been calculated, reformed, and translated into a usable manner. This can be in almost any form of information – from web traffic to healthcare stats collected across the globe. Crunching – or analyzing – these results are the only way to turn them into workable information.
But how exactly does the process work?
Through online analytics, companies such as Google or Bing integrate various computer programs and algorithms to track website activity. This includes traffic, where web hits came from, keyword searches, and more. Website owners then receive a list of charts comparing numbers to one another, as well as previous months’ figures.
Healthcare analytics are much similar – except for how they are inputted. With the Internet, information can be automatically collected. Healthcare big data must be manually updated to a database (which can include software). However, once put into place, this data can help translate an infinite number of big data. But unlike online analytics, which shows business owners from where their Internet traffic is directed, healthcare analytics has the ability to help people. Doctors can make predictive diagnoses, see trends or similar cases, while patients can see a bigger bang for their buck.
And without analytics in the healthcare field, megabytes upon megabytes are collected without serving a purpose.
Healthcare Analytics Breakthroughs
Today, Accountable Care Organizations (or ACOs) are building models to better serve healthcare data. At once the task was seen as too large to tackle, but considering the infinite benefits to be gained by documenting big data, researchers knew the hurdle must be overcome. By incorporating these same Internet-based logistics into the healthcare field, ACOs have made serious headway.
While the end result is far different between the two entities, the process is very much the same. Check out our resources page to find more today.