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How digital humans can make healthcare technology more patient-centric

CIO

One of the biggest issues in healthcare is staffing shortages—and it impacts us all. While healthcare staffing challenges are not new, they are forecasted to reach crisis levels in the coming years. And the World Health Organization (WHO) predicts that, by 2030, there will be a 15 million shortfall in healthcare workers.

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Why Your Healthcare Organization Should Consider HPE GreenLake for EHR

CIO

However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers. Furthermore, supporting Epic Honor Roll requirements, purchasing cycles, and disaster recovery places heavy demands on staff time, and recruiting, training, and retaining IT professionals can prove difficult.

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Digital Transformation in Healthcare

N2Growth Blog

Insights and Strategies for Healthcare Leaders to Drive Innovation, Integration, and Success in a Rapidly Evolving Industry. As the healthcare industry continues to undergo rapid changes, driven by advancements in technology and evolving patient needs, it is crucial for healthcare organizations to stay ahead of the curve.

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The new CIO mandate: Selling AI to employees

CIO

But 45% also said they feared that AI will make their work less relevant to their employers, and 43% said they fear the loss of their jobs due to AI. CIOs should work with their organizations’ HR departments to offer AI training, Chandrasekaran recommends. CIOs should be “change agents” who “embrace the art of the possible,” he says.

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When your AI chatbots mess up

CIO

But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete.

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State of IT jobs: Mixed signals, changes ahead

CIO

The industry saw unprecedented growth in certain areas — such as AI and ML — alongside massive layoffs from tech vendors and cooling (or even contracting) salaries for a wide range of IT roles. Recent layoffs have been cast in part as a corrective for that period, when the average tech salary increased nearly 9%.

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V7 snaps up $33M to automate training data for computer vision AI models

TechCrunch

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7 even lays out how the two services compare.)

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