Analytics
AI & ML Intelligence
Mark Polyak, president of analytics at IPSOS, and Dr. Lukasz Kowalczyk, a gastroenterolgy physician, offer a data-driven discussion about how patients feel about artificial intelligence, and how they want it used in their care.
Improving the care experience through technology is at the core of the cardiovascular center's values, says its CIO – who describes how the two-hospital system uses patient feedback to focus on optimal care delivery, and has the accolades to prove it.
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When healthcare organizations require multiple public cloud providers, leveraging them in a strategic fashion improves overall efficiency, performance and security.
UPMC Enterprises and Vanderbilt Health will accelerate the consortium's pipeline of companies launching in the coming year, Aegis says.
The effort aims to accelerate the London Clinic’s infrastructure improvements and growth ambitions while building on Northwestern's world-renowned expertise to help enhance patient care.
Tenet Physician Resources will use AI to integrate clinical workflows, reducing administrative burden.
The typical chief information officer in healthcare is taking on more responsibility for determining strategy and digital transformation, with 84% of CIOs now part of their organization's executive leadership team.
The goal is to give imaging providers a source for analytics on how their clinical artificial intelligence applications are operating over time.
The women's healthcare company failed to find adequate product market fit, and the company's CEO, Alison Greenberg, says many lessons were learned along the way.
Nearly half of FDA-approved AI medical devices haven't been trained on real patient data. Dr. Jay Anders, chief medical officer at Medicomp Systems, offers solutions to this challenge, and explains problems with using synthetic data.