Mike Miliard
This has already been a record setting year for cybersecurity, in all the wrong ways. Errol Weiss, chief security officer of Health-ISAC, discusses the cyber risks he's most concerned about and makes the case for cross-sector information sharing.
The freely-downloadable tool, called Dioptra, is designed to help artificial intelligence developers understand some unique data risks with AI models, and help them "mitigate those risks while supporting innovation," says NIST's director.
The combined companies seek to continue innovating products for easing clinician burden with AI-enabled ambient scribing, to advance revenue cycle automation and to consolidate on an integrated platform for large language models.
Oversight for healthcare technology, data and AI policy and strategy will be grouped under the renamed ASTP/ONC, while the 405(d) cybersecurity program will move to the Administration for Strategic Preparedness and Response.
The deal, valued at $51 million, will bring more real-time image recognition technologies to GE's imaging portfolio, and could help hospitals with overburdened sonographers and radiology technologist shortages.
The new Hospital AI Readiness Index from CB Insights assessed 25 health systems for how they're innovating and executing on their artificial intelligence projects.
In a "tour de force" rulemaking, the agency has "harnessed all the tools at ONC's disposal" to advance HHS' nationwide interoperability and patient engagement goals, says National Coordinator Micky Tripathi.
While the healthcare group "strongly supports" CIRCIA's security goals, it's urging the Homeland Security agency to "consider the challenges covered entities face during and immediately after experiencing a cyberattack."
The remote patient monitoring project aims to integrate platforms to equip clinicians with advanced decision support for hospitalized patients in both critical and non-critical care, and develop new AI-enabled predictive analytics.
The American College of Radiology's ARCH-AI initiative is billed as the first-ever such framework, designed to help imaging providers deploy artificial intelligence more safely.