Artificial Intelligence

"Healthcare organizations cannot rely on legacy technologies to detect and respond to today’s attacks," says Ricardo Villadiego, CEO of cybersecurity firm Lumu.

The Wisconsin medical center's HIMS department reported a complete transformation in their workflow: It could save up to 40% of time when abstracting a large volume chart, which equates to 16.7 hours per week.

Collaborations and integrations aim to streamline access to patient medical histories via national networks, drive more proactive pediatric care, expand behavioral telehealth and pioneer more hospital automation.

Generative AI and large language models sometimes give inaccurate answers, says Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA. He describes techniques that can improve algorithms' accuracy.  

Despite challenges such as data privacy concerns and the need for seamless integration into existing systems, the trajectory of AI development in healthcare is promising as tools continue to improve, says Alex Mason of FTV Capital.

A cohort of nurses are trialing generative artificial intelligence to draft responses to patient messages in Epic's MyChart patient portal.

India's Armed Forces Medical Services is exploring the use of emerging technologies with partners in local universities and the government.

"Doctors have specific ways they like to document information," says Dr. Dean Dalili, chief medical officer of DeepScribe, who describes why personalization is a must when using ambient AI note-taking to reduce burnout.

Holograms and extended reality have unique roles in patient engagement and education. Cole Wiser, executive creative director at the Virtual Wild, and Srini Iyer, SVP at Leidos, explain.  

Using the technology can be daunting because it involves considerable time and careful results management – but augmenting it with AI image enhancement software has made a big difference for its radiologists.