Tag: Machine learning

FORT WORTH, Texas - Now is the time for HME providers to start looking at artificial intelligence (AI) and machine learning to improve quality of care without increasing costs, says Anna Elliot, a new managing director and partner at Vertess.  Here’s what Elliot, who specializes in high-growth, health care technologies, had to say about how medtech can be used and why you need it.  HME News: How much is machine learning and AI driving the growth in health care right now?  Anna...

SAN DIEGO – ResMed has appointed Urvashi Tyagi as CTO to lead the company’s Digital Health Technology team. She is charged with driving the innovation and adoption of ResMed’s cloud-based digital health platforms, as well as making investments in emerging technologies like artificial intelligence and machine learning. “Urvashi brings world-class technology and engineering know-how, combined with senior leadership experience from other top fintech and consumer tech...

SAN DIEGO - ResMed didn't have to look far to find its first chief technology officer. The company announced April 2 that it had named Bobby Ghoshal as CTO. Ghoshal had been the COO of Brightree, which ResMed bought in 2016. In his new role, Ghoshal will lead ResMed's global healthcare informatics and data analytics team to drive its cloud-based digital health platforms, as well as investments in emerging health technologies like artificial intelligence and machine learning. Prior to his role at...

A. Artificial intelligence (AI) and machine learning have been integrated in our daily lives from social media interactions, retail shopping and now healthcare. Unlike the retail industry, where ads are triggered based on a web user's interest, the healthcare industry uses predictive analysis to learn more about patients and improve their health outcomes, which in turn can lead to cost savings. Machine learning platforms help identify potential issues or gaps in care. By doing this, we can...

Q.  How are artificial intelligence and machine learning helping ensure a smooth transition to heal at home and avoid hospital readmissions?A. Failures in our healthcare system increase post-acute spend for health plans by an estimated 20% to 25%, while patients face unnecessary risks. One of the biggest gaps is lack of communication and collaboration between providers and patients. New healthcare innovations, such as AI and machine learning, are helping us optimize post-acute care and keep...

A. Technology in the healthcare industry has become a vital component in the communication between healthcare providers. Artificial intelligence and machine learning allow practitioners to improve the three core pillars of the healthcare industry to improve post-acute care—collaboration, coordination and communication—and develop a customized health care plan for patients that will provide a cost-effective solution and avoid hospital readmissions.Machine learning platforms are closing...

A. Artificial intelligence (AI) and machine learning have been integrated in our daily lives from social media interactions, retail shopping and now healthcare. Unlike the retail industry, where ads are triggered based on a web user's interest, the healthcare industry uses predictive analysis to learn more about patients and improve their health outcomes, which in turn can lead to cost savings.Machine learning platforms help identify potential issues or gaps in care. By doing this, we can then alert...

HARTFORD, Conn. - It may seem like a concept straight out of a sci-fi film, but artificial intelligence is being used across industries, and although health care has been a little slower on the uptake, its time has come, says CareCentrix's Steve Wogen. Wogen, chief growth officer for the company, which coordinates HME and other services for health plans,spoke with HME News recently about how the company is leveraging AI and machine learning to connect data points and, as a result, reduce readmissions...