Mayo Clinic Platform, the data analytics and digital health arm of the Rochester, Minn.-based medical center, is going global and is expanding its reach to Brazil, Canada and Israel.

Platforms have long been disrupting industries, including healthcare, and are in an unmatched position to solve complex problems endemic to healthcare. For Dr. John Halamka, president of the Mayo Clinic Platform, the drive for platform disruption is personal, and he’s betting big on Mayo Clinic to lead the charge.

As health systems and insurance companies ramp up adoption of artificial intelligence and machine learning technology, experts fear clinical algorithms are not ready for prime time—with potential consequences for patient safety and outcomes.

The research is mounting to show that Anumana’s AI-ECG algorithms could dramatically improve screening for cardiovascular disease (CVD), providing early warnings of disease from just a standard electrocardiogram (ECG).

Mayo Clinic recently welcomed seven more healthcare startups to its accelerator program. In exchange for an equity position in each startup, Mayo Clinic gives young digital health companies the opportunity to refine their AI models using its deidentified data sets and subject matter experts.

We expect that someday many important diagnosis and treatment decisions will be made or augmented by AI applications. Today we are in the early stages of achieving that objective.

Hospitals are using AI, data analytics and machine learning to improve health outcomes, produce predictive clinical insights and improve patient care.

Mayo Clinic Platform, the data analytics and digital health arm of the Rochester, Minn.-based medical center, is trying to stop diseases in patients before they emerge, its leader told Becker's.

Digital health company K Health is collaborating with the Mayo Clinic to use deidentified patient data to improve the treatment of high blood pressure.