Posts Tagged ‘machine learning in healthcare’

Infographic: Using Machine Learning To Unlock Value Across the Healthcare Value Chain

September 21st, 2018 by Melanie Matthews

Machine learning (ML) is transforming the healthcare industry by changing the way care is delivered, and its impact is poised to increase, according to a new infographic by McKinsey & Company.

The infographic examines potential ML healthcare use cases and challenges to overcome to best leverage ML techniques.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: How Machine Learning Will Impact Healthcare

April 9th, 2018 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.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.