Infographic: How Machine Learning Will Impact Healthcare

Monday, April 9th, 2018
This post was written by Melanie Matthews

With $150 billion expected to be spent by the healthcare industry on AI deployment and tools over the next decade, machine learning is set to transform the industry, according to a new infographic by Appen.

The infographic examines several use cases for machine learning in healthcare.

Taking lessons from its five-year congestive heart failure (CHF) remote patient monitoring program, the University of Pittsburgh Medical Center (UPMC) is expanding its remote patient monitoring program to five additional disease states.

Remote Patient Monitoring at UPMC: Creating Early Warning Systems To Reduce Unplanned Healthcare Utilization, a 45-minute webinar on March 22nd, now available for replay, Dr. Ravi Ramani, director, UPMC Integrated Heart Failure, provides a detailed case study of UPMC’s remote patient monitoring program, from the lessons learned within its CHF program to the additional disease states it will monitor remotely and the key features of each program.

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