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Robotic initiatives aim to save on nursing time by providing a variety of tasks and services, including multilingual and emotional support, says hospital director Dr Weide Tsai.
Two researchers demonstrate how subtle response-time biomarkers – captured in minutes via digital assessments – can detect Alzheimer's and dementia risk far earlier than traditional methods.
Christie Teigland, Inovalon's VP of research science and advanced analytics, says encounter data shows that MA enrollees are more likely to have a chronic condition than those of traditional fee-for-service Medicare.
A new reasoning model quantifies how often large language models elaborate on false clinical details fed to them. Prompt mitigation quelled some hallucination frequency, but the AI behind clinical bots may still pose risks, researchers said.
Nursing and IT
The technology – no more paper – has standardized competency, improved transparency into orientation and competency attainment, and reduced time spent following up with staff to complete checklists.
It can be a challenge to find AI tools that work, says Josh Wymer, chief health information & data strategy officer in the Missouri Department of Health and Senior Services, who discusses the importance of taking a unified approach to deployment.
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As phishing tactics evolve, healthcare organizations need to act quickly to shore up defenses and close the gaps that attackers are exploiting. That shift needs to start now.
One recent artificial intelligence project at the Pennsylvania health system is the launch of the virtual patient monitoring and nursing platform to boost patient safety while alleviating nurses' workloads.
The radiologist shortage and increasing imaging demand are two intertwined challenges that can benefit from large language models. Penn Medicine is showing how.