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Healthcare providers focus on quality for the next phase of digital transformation

CIO

Healthcare & Life Sciences at Kyndryl, says much has changed for healthcare providers over the past three years. Healthcare providers kept the lights on and sprinted to solve problems like suddenly having to serve 50% of your population via telehealth.” Trent Sanders, director of U.S. 2020 was reaction mode,” he says.

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6 lessons to learn from the 60-year history of the modern mainframe

CIO

These colossal machines underpinned critical functions, from financial transactions to scientific simulations, showcasing unparalleled reliability, scalability, and performance. Moreover, mainframes continue to evolve, integrating emerging technologies like AI and machine learning to meet the demands of tomorrow.

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Low-code Solutions in Healthcare

Newgen Software

Members are always looking for a quality healthcare plan that offers seamless access and reliability for a lifetime. These tech-savvy members are extremely particular about how, where and from whom they receive healthcare services. How to Choose the Right Low-code Platform for Healthcare? What are Low-code Solutions?

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Learning Python for Healthcare – Is Python HIPAA Compliant?

The Crazy Programmer

But when it comes to building healthcare apps, it’s critical to consider if Python is a safe language to serve this purpose. Essentially, the best language for creating healthcare apps must be HIPAA compliant. For example, the global healthcare data increased dramatically in 2020. Explaining HIPAA Compliance.

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Top 10 AI graduate degree programs

CIO

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

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Generative AI will be the key to achieving patient-centric care

CIO

healthcare ecosystem has only just begun. Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. Digital solutions based on generative AI will soon become commonplace in all aspects of healthcare delivery and operations.