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Technology’s role in social sustainability

CIO Business Intelligence

Technology has a critical role to play in any organization’s social sustainability strategy. And according to a survey from NTT, a majority of senior executives recognize this and are actively working to harness digital technology and innovation to support their social sustainability initiatives. That number is set to grow.

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The business value of social sustainability

CIO Business Intelligence

Social sustainability is good for business. And companies are taking it seriously: a recent NTT report found that more than 40 percent of executives surveyed said social sustainability is a top imperative for their C-suite and Board of Directors. trillion, underscores the financial advantages of prioritizing social sustainability.

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Striking a Balance: Senator Wyden's Act and AI in Healthcare

SecureWorld News

This includes artificial intelligence (AI) and machine learning (ML) systems that are increasingly used in healthcare. Healthcare organizations would need to evaluate their AI for accuracy, fairness, and security—similar to testing new drugs for safety and efficacy before they reach patients. for SecureWorld News.

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UW forms medical data science institute focused on AI, machine learning, healthcare

GeekWire

(GeekWire Photo / Charlotte Schubert) There’s a new institute brewing at the University of Washington at the intersection of artificial intelligence, machine learning and healthcare. In addition, UW Medicine is a leading healthcare institution. They also evaluated various methods to extract data from the electronic healthcare record.

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The road to boosting healthcare cybersecurity

Dataconomy

As the healthcare sector continues to rely on technology to provide high-quality patient care, how can hospital staff and network administrators come together to provide a holistic, managed response to cyber threats? In reality, cybersecurity represents a drop in the bucket when compared to broader healthcare spending by developed nations.

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How Healthcare Can Keep Up with Accelerating Tech Cycles

CTOvision

” And yet in healthcare, we, as consumers are still challenged to book an appointment online and practitioners are lost in the ancient interfaces of the EMR systems that most of the time do not provide the right information at the right time for a patient (and we hope it’s the right patient!). NYC and Health 2.0

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The rise of machine learning applications in healthcare

Dataconomy

Machine learning applications in healthcare are rapidly advancing, transforming the way medical professionals diagnose, treat, and prevent diseases. In this rapidly evolving field, machine learning is poised to drive significant advancements in healthcare, improving patient outcomes and enhancing the overall healthcare experience.