Artificial Intelligence

Josh Wymer, chief health information and data strategy officer at the Missouri Department of Health and Senior Services, discusses a genAI chatbot the state uses and the value of both trust and data transparency in public and community health.

Most health systems experienced a cyberattack in the last year, the new Ponemon Institute report shows, with 69% of victims citing poor patient outcomes. Business-email compromise and ransomware were reported to be the biggest culprits in care impacts.

Get insights into use cases for AI – and challenges to its adoption.

Organizations want a ‘patient-first, data anywhere’ approach to meet myriad patient needs.

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.