From diagnostics to precision medicine, Mayo Clinic is leveraging artificial intelligence to improve care outcomes.
Leading academic medical center Mayo Clinic is betting on artificial intelligence to help expedite medical insights and improve patient care. To this end, the health system has invested in AI startups across a variety of areas, from cardiovascular imaging to primary care.
The provider is also working with Google to co-create an “AI factory” — an assembly line of medical AI solutions — with the goal of moving novel AI algorithms into the clinical workflow to ultimately improve patient outcomes as well as provider experience.
Focus on improving patient care and subsequent earnings call mentions of the term “patient-centric” have been on the rise, with many seeing opportunities to reduce costs and improve population health by adopting patient-centric models.
At the same time, the substantial growth in healthcare data and enhanced processing power of modern computers in recent years has fueled progress in medical AI applications.
Healthcare providers face a number of challenges in the pursuit of improved patient care and outcomes. New technologies can be costly and time-consuming to implement. Analytic and reporting platforms rely on access to broad, well-structured datasets that often don’t exist in healthcare. And often, health outcomes depend as much or more on how patients act and are supported outside of the office than they do on prescribed treatments or care plans.
In response, providers like Mayo Clinic are developing and deploying solutions that leverage AI to deliver the right treatment to the right patient, enhance the clinical decision-making process, and advance medical education and training.
Below, we take a look at how Mayo Clinic is enhancing patient care through investments and partnerships with companies developing AI-driven solutions in these spaces.
