At base, Artificial Intelligence is the process whereby machines & ‘robots’ can exhibit logic or make decisions in line with that of a Human being. In healthcare, a key area of this can be in the form of diagnosis, treatment recommendations, and process automation.
The Rise of Artificial Intelligence in Healthcare
As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For instance,character recognition using visual assessmentis no longer perceived as an example of "artificial intelligence", having become a routine technology. Capabilities currently classified as AI include successfullyunderstanding human speech, competing at a high level instrategic gamesystems (such aschessandGo),self-driving cars, intelligent routing incontent delivery networks, military simulations, and interpreting complex data.
A great example of the value of Artificial Intelligence in Healthcare is in the decision making process for prescription. In this case, there are more than 800 medicines and vaccines currently available as an option for cancer treatment. This holds a negative impact on the doctors, as there are too many options to choose from. This choice ends up making it more difficult to choose the right drugs for the patients. Using Artificial Intelligence, Microsoft is currently working on a project to develop a machine called "Hanover”, with the goal to memorize all the papers necessary to cancer diagnoses and help predict which combinations of drugs will be most effective for each patient.
Case Study: Transforming Healthcare Diagnostics with IBM’s Cognitive Watson Automation.
"IBM Global Business Services (GBS), in partnership with IBM Research global teams, has created a powerful end-to-end automation solution leveraging Watson technology. The infusion of cognitive solutions introduced various innovations that greatly helped to automate manual and repetitive activities to promote quality, efficiency, and productivity for enhanced business outcomes."
IBM Global Business Services (GBS), in partnership with IBM Research global teams, has created a powerful end to end automation solution leveraging Watson technology. The infusion of cognitive solutions introduced various innovations that greatly helped to automate manual and repetitive activities to promote quality, efficiency and productivity for enhanced business outcomes. In essence, cognitive business solutions delivered the following:
-‐ Harnessed the power of Watson to answer end user questions and to resolve help desk queries;
-‐ Expand capacity by using virtual, robotic engineers to do repetitive tasks, freeing up resources to focus on higher value work;
-‐ Provide an uninterrupted flow of automation from cognitive query to triggering a virtual engineer to execute the work.