Artificial Intelligence & Complex Event Processing Changing Cancer Care
Changing Cancer Care at Stanford MedX
The past weekend we spent at Stanford Medicine X, listening to interesting and inspiring talks, and interacting with a diverse group of people and the ideas they brought with them. The event is designed to bring people from all aspects of medical care, including doctors and nurses, patients and caretakers, insurance reps, hospital administrators, policy makers, product designers, and many others. It was somewhat overwhelming, but because different rooms were used to host presentations in parallel we were able to choose which discussions to attend.
Being a medical technology site, we were particularly interested in hearing from the finalists of the Astellas Oncology C3 Prize. C3 stands for “Changing Cancer Care” and the goal is to sponsor ideas that improve how patients experience cancer care. This is not a “find a cure” prize, but it springs from the sober assessment that cancer is and will be with us for a long time and we need to get better at helping patients get to and through their therapies...
Eric Luellen of Boston, MA presented Rx&You, an online platform that utilizes artificial intelligence to address medical compliance, coordination of care, prevent dangerous drug interactions, and provide targeted educational tools for patients. Additionally, it can potentially identify unknown side effects of drugs and discover which patient populations are the most susceptible to the treatment. And it has already been built and is ready to be used.
The platform is attempting to connect patients, providers, pharma, and payers so that everyone is on the same page. It uses an artificial intelligence concept called “complex event processing” to run a drug event system that automatically screens for possible drug interactions as soon as a prescription is issued, and creates personalized reminders to take those drugs. It also offers information on those drugs so patients are clued in on their therapy. If the patients choose not to take their drugs at certain instances, the system uses its AI skills to figure out why not...
We have featured examples of CEP applied to the medical field in past articles here, and in our books. The one deployed in Rx&You is new to us. The combination of AI and CEP to develop a drug event system that screens for drug interactions in real time and issues alerts etc. is innovative. It offers an interesting opportunity to develop standards for event abstraction hierarchies for this area of medical monitoring.
Posted in In The News on Oct 02, 2016