Artificial Intelligence
AI can be applied right now to ever-expanding health data sets. When will be the best time for healthcare entities to implement?
Mercy Health took a cue from its supply chain management machine learning success to bolster clinical pathways. The result: $14 million saved the first year, and Mercy is already on track to surpass that. But a VP says it's not just about the bottom line.
Executives say cognitive technologies such as Watson have a big role to play.
Yet the industry has more potential for care improvement and ROI than others that have already adopted the technologies.
Partnership creates new offering for community oncologists who provide 70 percent of cancers care.
MIT professor John Guttag said that growing sets of aggregated data, federal rules mandating access to information and existing tools make machine learning a reality today. Here’s what healthcare organizations need to know about the emerging technology.
These approaches have enormous potential to enable clinicians, doctors and researchers to spot patterns in existing data sets. We take a look at the two styles and what they mean to healthcare organizations.
With Google, IBM and Microsoft all setting sights squarely on healthcare, and analysts predicting 30 percent of providers will run cognitive analytics on patient data by 2018, the risk of investing too late may outweigh the risk of doing so too soon.
