Medicine is at a pivotal moment. From shifting patient expectations and workforce shortages to the rise of value-based care and digital-first delivery models, health systems are being pushed to evolve rapidly. These pressures demand more than incremental change—they require technology that not only supports clinical excellence but also enables operational efficiency, workforce sustainability, and enterprise-wide agility. As organizations seek solutions that can scale across departments and disciplines, the role of intelligent, integrated tools becomes increasingly vital.
Artificial Intelligence is emerging as a key driver of this transformation within the healthcare industry. According to the American Medical Association, nearly two-thirds of physicians reported using healthcare AI in 2024—a huge jump from 38% in 2023. The Future Ready Healthcare report noted that 63% of healthcare respondents say their organizations are prepared to use generative AI (GenAI) to optimize workflows. Across industries, 50% of Millennials and Gen Zs are using GenAI at work, and medical students, residents, and clinicians are increasingly using GenAI tools to ask clinical questions.
While this is no surprise, increasing workloads are driving the need for quicker ways to find answers—but the question remains if they can trust the answers they’re given. And more importantly, what are the implications if they can’t?
Leaders must address—and understand—two critical needs:
- Clinicians require quick, clear, and actionable recommendations to navigate an increasingly complex healthcare landscape.
- Health leaders must invest in technology and partnerships to standardize outcomes and create value across their organizations—both in practical application and measurable results at the point of care.
