OK, so pause and just think of the following not just in terms of medicine (which is amazing!) but also other fields: education, engineering, biology, etc…
IBM’s Watson kicked jeopardy champs’ butts, & we all got a cool quote out of it about welcoming our new computer overlords. But as we move on from this memeful moment in history and stopping thinking about it all, Watson’s still there, progressing, becoming inexorably smarter. It’s staggering to watch this unfold as Watson is now rolling out to the medical field. This is a bit of a tangential extension of my previous thoughts on Apple’s Siri.
According to some, health care pros make accurate treatment decisions only 50% of the time. Watson has shown the capability of being accurate in its decisions 90% of the time, although not yet near that level with cancer diagnoses. Patients need 100% accuracy of course, but making the leap from being right half the time to being right nine out of ten times will be a huge boon for patient care. The best part is the potential for distributing the intelligence anywhere via the cloud, right at the point of care. This could be the most powerful tool we’ve seen to date for improving care and lowering everyone’s costs via standardization and reduced error.
Watson has made huge strides in its medical prowess in two short years. In May 2011 IBM had already trained Watson to have the knowledge of a second-year medical student. In March 2012 IBM struck a deal with Memorial Sloan Kettering to ingest and analyze tens of thousands of the renowned cancer center’s patient records and histories, as well as all the publicly available clinical research it can get its hard drives on. Today Watson has analyzed 605,000 pieces of medical evidence, 2 million pages of text, 25,000 training cases and had the assist of 14,700 clinician hours fine-tuning its decision accuracy. Six “instances” of Watson have already been installed in the last 12 months.
Watson doesn’t tell a doctor what to do, it provides several options with degrees of confidence for each, along with the supporting evidence it used to arrive at the optimal treatment. Doctors using an iPad can input a new bit of information in plain text, such as “my patient has blood in her phlegm,” and within half a minute Watson will come back with an entirely different drug regimen that suits the individual. IBM Watson’s business chief Manoj Saxena says that 90% of nurses in the field who use Watson now follow its guidance. That’s remarkable.
Imagine several years from now combining Watson version 7, with Siri version 9. “Siri, I’m not feeling that well can you help me…?” (yes, probably.)