Artificial Intelligence

At the HIMSS AI in Healthcare Forum, physician and author Dr. Harvey Castro explored the implications as artificial intelligence expands and increasingly augments clinical decision-making. Providers need to be key players in AI development, he said.

Boston Children’s, CVS, Geisinger, UC San Diego and Wellspan are among the 28 providers and payers promising their AI and machine learning models are geared to ensure healthcare outcomes that are "Fair, Appropriate, Valid, Effective and Safe."

Digital health stakeholders said that AI will be used next year to help ease administrative tasks for providers, improve clinical trial participation and increase transparency in healthcare.  

The agency said the new strategy is critical to achieving its goal of reducing cancer deaths by 50% and improving the burdens of cancer treatments on patients and families.

Despite broad concern by health IT developers and owners, some deadlines have been pushed out in HTI-1, the new federal rule governing certification, AI transparency and other standards, while those for decision support algorithms have not.

Peter Shen, head of the digital and automation business at Siemens Healthineers, shows how, and how healthcare can increase adoption of artificial intelligence – with appropriate guardrails in place for safety, transparency and ethics.

EHR optimization, limited application of artificial intelligence, and working with machine learning and natural language processing where proven are some of the areas for which these experts say CIOs and other leaders must be prepared.

The National Institute of Standards and Technology created guidance for evaluating differential privacy algorithms that could allow data to be publicly released without revealing the individuals within the dataset.

Thanks to machine learning, pocket-sized cardiac sonography can help any medical professional make real-time cardiac-care decisions in acute, field, EMS and rural settings, says UltraSight CEO and cofounder Davidi Vortman.  

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