GEN May 1, 2018
Big Data Plus Machine Learning Equals Scientific Advancement
The biggest obstacle to seamless electronic health records (EHRs) is the lack of synchronicity between the medical profession and the companies that develop EHR systems.
More is better when it comes to Big Data and machine learning. This is particularly true in the fields of medicine and pharma. A report by Accenture estimates that by the year 2026, Big Data in conjunction with machine learning in medicine and pharma will be generating value at a prodigious rate: $150 billion/year.
This figure reflects how the tools of artificial intelligence (AI) are expected to help doctors, patients, insurers, and overseers reach better decisions, optimize innovations, and improve research and clinical trial...