Bill Siwicki

There are more and more neurology patients – but the number of neurologists has stagnated. Dr. Robert Bermel explains how telemedicine is becoming more crucial as neurological conditions get more complex.

Empowering patients with a broader and more inclusive view of what's possible can lead to more personalized care, says one CEO. Failing to do so means AI will always fall short of its true potential to support better outcomes.

"These are real lives, potentially extended or saved because an AI system surfaced the right data at the right time, and our teams were equipped to act on it," says the health system's COO. And the tech has helped boost the case closure rate by 50%.

"By making it faster and easier to use the most up-to-date guidelines at the point of care, we anticipate a more consistent application of best practices, which can contribute to improved patient trajectories," says the hospital's CMIO.

Dr. Justin Norden, CEO of a generative AI infrastructure company, warns hospitals and health systems to identify ROI, safety issues, risk, governance and long-term value when approaching AI systems and tools.

Dr. Sipra Laddha, a physician expert in women's health and virtual care, says telehealth and AI can work in tandem to help women – and all patients – who need mental healthcare, even in a time of limited access.

Theresa McDonnell, DNP, RN, is leading the way with innovative, tech-focused workplace safety and anti-burnout efforts. "Compassion is what connects technology to purpose and people to progress," she says.

The Oregon health system's coder workload has been reduced by nearly 28%, while coding-related denials for autonomously coded radiology cases are now 70% lower than those managed manually. The automated denial rate is also substantially lower.

In-hospital nurses can focus on more critical tasks and direct patient care while virtual nurses handle the routine monitoring and documentation tasks. Patients appreciate more personalized support and the overall hospital experience.

Clinical decision support technology has enabled automatic inclusion of risk results in the health system's reports. Among many other improvements, the ability to stratify patients earlier and more accurately allows staff to provide additional care before cancer is detected.