Today’s healthcare industry is bursting with all kinds of data about patients, conditions, treatments, drug protocols, outcomes, etc. The problem is that this type of data is unstructured, making it difficult to capture and analyze by traditional means.
Leading researchers in data science and genomics are recommending strategies to help genomic scientists better manage, share, analyze and archive massive research and clinical data sets in an effort to ensure that the big data explosion results in better health outcomes and faster research discoveries.
“Big data techniques offer a way to analyze data pooled across many patients: their specific disease mutations, biological markers, the treatments, and outcomes — in order to identify unexpected ways that existing therapies can be applied and combined to create personalized treatments that dramatically improve the chances of survival.”
The healthcare industry is renowned for its tardiness in entering the big data realm. Invested in archaic IT technology and maintaining a mindset that technological change must progress at a snail’s pace, means that healthcare may be one of the last industries to benefit from what big data can deliver even though it is possibly […]