Philips is using its patient monitoring devices to help health systems deliver care more efficiently, especially in areas with specialist shortages. The company’s connected devices enable continuous monitoring from home to hospital and back, which can reduce diagnostic delays and improve patient safety, said Nick Wilson, Philps’ vice president of global marketing and product for ambulatory monitoring and diagnostics.
HumoTech has developed a robotic platform that lets patients quickly try multiple prosthetic or exoskeleton options in a clinic, using both objective data and patient feedback to identify the best fit. The technology aims to reduce device abandonment and improve outcomes.
AI-native tax firm Gelt combines top human tax experts with AI to help physicians and healthcare practices use data-driven tax strategies to lower liabilities, improve profitability, and future-proof their finances.
Jennifer Thompson, Medtronic’s vice president of U.S. aortic sales, detailed how AI is transforming medical device commercialization during a fireside chat at Reuters’ MedTech conference. The technology is helping teams identify patients, optimize their sales deployment and discover care bottlenecks.
Ardent Health is deploying virtual nurse technology to ease workflow burdens on bedside nurses by offloading routine tasks — and its nurse turnover rate has dropped from 15.5% to 9.5%. The health system is also using virtual specialty consults to enhance care in rural hospitals, cutting unnecessary transfers by 85% and enabling more patients to receive quality care close to home.
Sanford Health has expanded its virtual care strategy to improve access for rural patients while also supporting better physician training and retention. By combining tech with a new virtual care center, the health system is seeking to deliver more consistent care and address workforce shortages across the Midwest.
Inaccurate provider data is creating a hidden crisis in healthcare by delaying care and driving up costs for both patients and health plans, according to CAQH CEO Sarah Ahmad. Her organization is working to address the issue by improving how provider data is collected and verified on the front end.
Alan Murray on improving access for medical transportation.
To scale clinical AI, vendors must design tools that feel natural and personalized to each doctor — otherwise, clinicians won’t use them, said Heidi Health CEO Tom Kelly. In the crowded AI scribe market, he believes that clinician adoption rates, not flashy integration or deployment speeds, are the true measure of success.
Without trust, the rapid adoption of AI in healthcare could stall, pointed out Joel Gordon, UW Health’s chief medical information officer. He urged healthcare leaders to focus less on flashy rollouts and more on governance, collaboration, and meaningful metrics to ensure AI delivers lasting value.
During a panel at the Reuters Digital Health conference in Nashville, health system executives shared what they've learned about navigating change in tech pilots. In their view, success is determined by cultural readiness, frontline staff buy-in and a clear-eyed view of what success looks like.
When talking about increasing access, it’s essential to remember that there is a difference between making healthcare more accessible and simply increasing patients’ access to appointments, pointed out Lee Schwamm, chief digital health officer at Yale New Haven Health System. In this article, he explains three steps hospitals can take to actually boost accessibility.
CEO and neuroscientist Dr. Iftach Dolev on how the new device can bring a powerful tool to psychiatrists and neurologists alike.
Justin Brueck, vice president of innovation and research at Endeavor Health, shared three main reasons that technology pilots end up being unsuccessful at health systems.
While adopting new technology is obviously a big part of healthcare innovation teams’ work, there are plenty of worthwhile initiatives that don’t involve advanced technologies, pointed out Dan Shoenthal, chief innovation officer at MD Anderson Cancer Center.
This year has been a messy one for virtual care companies, but that doesn’t mean that telehealth is dead, according to Eve Cunningham, Providence’s chief of virtual care and digital health. In her view, virtual care can definitely still be an important part of the care delivery model — but only if it is embedded into the greater healthcare delivery ecosystem.
When developing or deploying new algorithms, hospitals and healthcare AI developers must pay close attention to the quality of training datasets, as well as take active steps to mitigate biases, said Divya Pathak, chief data officer at NYC Health + Hospitals, during a recent panel discussion.
During a recent panel, three health system executives shared some of the most important lessons they’ve learned from the digital initiatives they’ve worked on in the past couple years. Some of their nuggets of wisdom included starting with a problem instead of a solution and being sure not to use financial ROI as the only metric for success.