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How health IT's leading innovators are using AI now, and where they see it going

Healthcare IT News - Telehealth

And many forward-thinking CIOs and other technology leaders see how fast AI tools are evolving, and they are looking excitedly to a future where further clinical innovation will occur at rapid speed. But they're also gaining big benefits in quality improvement, cost efficiency, and more.

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Sponsored: EMEA's digital health landscape: What's next in 2021?

Healthcare It News

Learn about what the healthcare industry should focus on as we look cautiously to a world beyond COVID-19, and how organisations can contribute to advancing innovation and wider technology adoption in digital transformation, AI, data analytics, and the future of telehealth. Sign Up for our daily or weekly newsletters. Summer Conversations.

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Technology is radically improving care for veterans

Healthcare IT News - Telehealth

Using artificial intelligence, VSignals automatically analyzes the feedback to detect sentiment, determine which topics Veterans are mentioning, and predict what might be emerging before they intensify into long-term concerns. Find out more about VA Modernization at VA.gov/modernization. Department for Veterans Affairs.

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How to Improve Customer Experience in Healthcare with AI

Healthcare IT Today

This article offers a simple five-step framework for adopting AI/ML-powered customer experience solutions in healthcare. We start by discussing current challenges and problems, explain why customer experience should become a top priority, and introduce specific steps you can take to implement AI in your organization.

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RTLS & AI: Solving the Riddle of Healthcare Inefficiency

Healthcare IT Today

How RTLS Works Most RTLS systems depend on a combination of tags, sensors, and software. Tags are attached to any vital assets that need to be tracked including equipment, supplies, devices, and even people. These tags come in a variety of sizes and will vary in range and data quality.

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Technology brings care to home for chronically ill patients

Healthcare IT News - Telehealth

Algorithms on top of this data can help in risk stratification, prediction, and improving outreach. AI techniques like machine learning, cognitive computing, and deep learning can play a critical role in identifying chronic diseases using predictive modeling techniques. Preferred functionalities to manage remote care.

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Digital Health Disconnect Creates Unnecessary Roadblock to Patient Engagement

HIT Consultant

This transformation – which everyone had been predicting for years, but never really hit a tipping point until the pandemic – should be a boon for healthcare. The good news is that it will not take a massive data lake investment or reinvention of current care delivery models to get there. About Aaron Kaufman.

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