Here, in an article originally published on BRINK, CEO and Founder of Skymind, Chris Nicholson, offers his expert perspective on the future of artificial intelligence in healthcare.
“Robot doctors” are working alongside their human counterparts, making real-time predictions in life and death situations, and saving lives in the process by helping doctors identify better treatment options.
These “robots” are actually artificial intelligence systems designed to comb through the vast amount of data being generated through electronic health records and electronic medical records at a pace impossible for human doctors to match. Advanced clinical analytics are making predictions about the outcomes of various healthcare treatments and are helping to train doctors to make accurate predictions faster.
Today we have more data than we know what to do with. The healthcare industry—now focused on artificial intelligence instead of business intelligence—must focus on gathering the right data and aggregating this data to make it transparent and actionable.
Better Care, Lower Costs
Many forces have combined to give healthcare organizations an opportunity to provide more affordable, higher-quality care. The powerful algorithms that tap into big data and real-time data streaming engines, for instance, are already helping empower people to make better rapid-fire decisions about different facets of care delivery.
As it evolves, artificial intelligence will reduce human error and help those in healthcare make critical predictions and decisions about high-risk or high-cost patients, adverse health events, hospital readmissions and more.