Artificial Intelligence

HIMSS' new Policy Principles for Artificial Intelligence and Machine Learning focus on safety and trust; transparency and privacy; and workforce and sustainability. Jonathan French, senior director of public policy at HIMSS explains more.

National University Health System's Dr Gao Yujia implores a balance of excitement and caution for effective AI implementation.

An expert discusses the combination of RPM and artificial intelligence, with examples of how tools are being developed and used today to improve patient access and expand virtual care.

Hadassah Backman, RN, is a nurse CEO who says artificial intelligence could do a lot to help RNs with relentless documentation burden, while also helping organizations boost revenue and improve compliance.

The benefits of artificial intelligence (AI) and machine learning (ML) in healthcare settings are no longer theoretical.

Cleveland Clinic Chief Analytics Officer Albert Marinez says generative AI holds huge potential, but a lot of challenges can still be solved with machine learning and predictive analytics.

Korean IT leaders share innovations in digital health, including the use of LLMs.

Government and industry cyber pros aren't always confident in their organizations' abilities to recover from cyberattacks, two recent surveys suggest. They say underfunded security budgets are causing vulnerabilities in the face of pervasive threats.

They recognize the promises of faster diagnosis and easier access to treatment and cost info, says Mark Polyak, president of analytics at Ipsos. While they're comfortable with AI for administrative tasks, they're wary of clinical applications.

"It's a disruptive technology, and we're all trying to figure it out," says Dayton VA Medical Center HTM Service Chief Zachary Arose. He discusses research applications, imaging innovations and operational efficiencies.