The Joint Commission is partnering with the Coalition for Health AI to scale AI accountability. The project will supply more than 80% of U.S. provider orgs with gameplans, toolkits and overall guidance.
To maximize returns on AI investments, healthcare organizations should align AI initiatives with core competencies. The effort should focus on optimizing experiences for workforces as well as patients.
On the technical and ethical planes, the National Academy of Medicine’s fresh guidance may represent the best way yet to ensure alignment of healthcare AI stakeholders.
The shoulders on which healthcare AI stands span from the advent of the World Wide Web, email and electronic medical records to the ubiquity of smartphones, patient portals, telehealth and personal health wearables.
If doctors are the heart of the hospital, nurses are surely the soul. And if that’s so, today’s AI has to be something like a nutritional supplement for the brains of the operation.
A new review of the relevant scientific literature suggests many if not most patients are aware that healthcare AI’s emerging benefits exist side-by-side with its persistent uncertainties.
As cardiac CT continues to get used more and more, GE HealthCare has launched a new scanner designed to meet the needs of both outpatient imaging centers and larger hospitals.
We’re either teetering at the edge of AI overlordship—or just working with new tech tools that do the same old computer-y things we’ve always done. So which is it?
Leveraging the upsides of RPM with AI demands human attention to numerous challenges. Primary among these are privacy and cybersecurity risks, researchers report.
Lucy He, MD, a neurosurgeon with the Alaska Stroke Coalition, explains how the state created an AI-based alert system to streamline the timely imaging diagnosis and transfer of stroke patients across the largest and most rural U.S. state.
As cardiac CT continues to get used more and more, GE HealthCare has launched a new scanner designed to meet the needs of both outpatient imaging centers and larger hospitals.
Lucy He, MD, a neurosurgeon with the Alaska Stroke Coalition, explains how the state created an AI-based alert system to streamline the timely imaging diagnosis and transfer of stroke patients across the largest and most rural U.S. state.
Researchers have used a state-of-the-art microscope and advanced AI to track clotting risks in CAD patients. The goal is to spot blood clots before they even happen, ensuring patients are prescribed the right therapy for their specific needs.
