Health care doesn’t have a big data problem. It has a big data opportunity, thanks to artificial intelligence. Think about the number of inefficiencies in your daily life — long lines, traffic jams, a reliance on “snail mail” for certain bills or communications. Those inefficiencies are inconvenient and annoying, yes, but they are usually not a matter of life and death. Health care is different. The need for productivity in health care is different. The potential for automation in health care is different. In fact, it’s greater.
The amount of data in health care is mind-boggling. As more traditional forms of information like patient records become electronic, we also have new sources of data being digitized — think 4D images of the body and high-resolution genomes. One study in PLOS Biology, a journal published by the Public Library of Science, forecasted that data generated by genomics alone will be on par with that generated by astronomical science, YouTube, and Twitter by 2025.
So how do we possibly make sense of all this information? Machine and deep learning can help.