Believe it or not, many doctors and medical researchers find themselves using the same analytical tools that you use at work almost every day. Big data is as big a thing in the medical industry as it is in the commercial sector, because patients generate gigabytes of data on a daily basis, that need to be analysed in order to make progress in medical research.
Over the years, epidemics like Ebola and MERS have put the medical industry into action, with an increased need to be prepared for similar outbreaks. To this end, thousands of dollars are being spent each year on conducting extensive clinical tests and medical trials, in order to understand the causes and effects of various diseases and their viruses. However, more often than not, no results are found.
Fortunately, a recent healthcare symposium in Boston discovered that predictive analytics is the way forward for genetic testing, and the reason for this is quite simple. Unlike the commercial sector, where there are previous reports available, the majority of genetic testing involves studying complex, new DNA that are completely unknown, and therefore, researchers don’t even know what they must be looking for. Often, there aren’t any reports to compare with, and the research is left open-ended and inconclusive. So, rather than spend time and money conducting various tests and trials, they figured it would be better to make predictions for future cases using the vast amounts of patient data already available. Now, only time will tell how beneficial analytics is to medicine!
Further reading http://www.healthcarefinancenews.com/news/healthcare-providers-so-success-predictive-analytics-boston-symposium