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Tag: Machine learning


Also Noted

WellSky leverages Google’s AI tech 

February 6, 2024HME News Staff

OVERLAND PARK, Kan. – WellSky has a new strategic partnership with Google Cloud to leverage its secure cloud technologies, advanced data analytics tools, machine learning capabilities and artificial intelligence platform Vertex AI. Over the past few years, WellSky has significantly invested in modernizing its IT infrastructure, and this partnership with Google Cloud will accelerate those efforts. “AI technology can serve as a fundamental tool in making healthcare insights more accessible...

Artificial Intelligence (AI), Google Cloud, Machine learning, WellSky


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Encore leverages AI/ML 

December 5, 2023HME News Staff

LIVINGSTON, Tenn. – Encore Healthcare says its Nexus AI/ML Nexus engine, developed in partnership with a global artificial intelligence and machine learning research leader, can save $106 million cumulatively in health care costs over five years per 1,000 ventilator patients, representing a 46.7% reduction. In contrast, the company says traditional management systems save $25 million, a 10.8% reduction. “We leveraged cutting-edge analytics techniques and forecasted potential outcomes...

Artificial Intelligence (AI), Encore Healthcare, Machine learning, Ventilator


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Etac, Kalogon partner to enhance cushions

September 12, 2023HME News Staff

STOCKHOLM – Etac and Kalogon have announced a partnership to bolster the quality and availability of smart seating cushions for wheelchair users worldwide. The two companies are joining forces to enhance Etac’s Star cushion product line powered by Kalogon’s air management system. “Etac has a 50-year legacy of promoting user abilities and independence through our assistive devices, and teaming up with innovative companies like Kalogon ensures we can continue to lead the state...

Etac, Kalogon, Machine learning, seating cushions


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Medtech saves on staffing, improves outcomes

Providers

Medtech saves on staffing, improves outcomes

April 29, 2022Tracy Orzel

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 Elliott, a new managing director and partner at Vertess.  Here’s what Elliott, 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...

Anna Elliott, Home Medical Equipment (HME), Machine learning, Vertess


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ResMed names new CTO

Vendors

ResMed names new CTO

February 1, 2022HME News Staff

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...

Artificial Intelligence (AI), Chief Technology Officer (CTO), Digital Health, Information Technology (IT), Machine learning, ResMed, Technology


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ResMed names Ghoshal CTO

April 3, 2018HME News Staff

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...

Analytics, Bobby Ghoshal, Brightree, Chief Technology Officer (CTO), Data, Healthcare Informatics, Information Technology (IT), Machine learning, ResMed


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Smart Talk

Machine learning: Match patient with provider

December 29, 2017Steve Wogen

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...

Artificial Intelligence (AI), CareCentrix, Machine learning, Steve Wogen


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Machine learning: Pave the path to home

November 21, 2017Steve Wogen

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...

CareCentrix, Machine learning, Steve Wogen


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Machine learning: Collaborate, coordinate and communicate

October 20, 2017Steve Wogen

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...

CareCentrix, Machine learning, Steve Wogen


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Machine learning: Use data to develop outcomes

September 22, 2017Steve Wogen

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...

CareCentrix, Machine learning, Steve Wogen


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