Empowering Emerging Healthcare Leaders for a Resilient Future

Life sciences drive the discoveries, at the molecular, cellular, and genetic levels, that healthcare translates into real-world prevention, diagnosis, and treatment to improve patient outcomes. This guest blog is written by our Life Sciences Outlook: Wake County and the Research Triangle 2026 presenting sponsor UNC Executive Development.

Healthcare is changing. Genomics, digital health, robot-assisted surgery, and many more tools that once seemed like science fiction are now a reality. Because of such unprecedented changes, the healthcare industry is facing a level of disruption that is bringing challenges to every part of the sector and demanding that organizations learn to navigate with new levels of agility and innovation. This article examines the landscape of this disruption and how current and emerging healthcare leaders can navigate it, ensure smooth succession, and maintain a long-term competitive edge.

Generative AI
​
Rapid advancements in large language models, such as generative artificial intelligence (AI), offer exciting opportunities to enhance patient care and health equity while lowering costs. This technology can help reduce provider burnout by streamlining time-consuming tasks like writing, editing, searching, and analyzing electronic health records.

According to a recent study of large language models in a healthcare setting conducted at Dana-Farber Cancer Institute, these “software tools…have been shown to perform as well or better than humans on many health care-related tasks,” including:

• Updating clinical documentation
• Pulling information from medical records
• “Writing accurate and empathetic responses to patients’ medical questions”

However, despite the enormous potential of large language models to improve patient care, the study identified several obstacles to deploying this technology in healthcare organizations. These included ethical and regulatory challenges as well as the potential for generative AI to provide “incomplete, biased, misleading, or factually false” content. Due to these and other concerns, Dana-Farber Cancer Institute ultimately chose to proceed with using generative AI tools to streamline work and conduct research, but not to provide clinical care.

The authors of the Dana-Farber study share the following best practices for helping leaders integrate this innovative tool into healthcare settings:

• Engage employees in exploring the potential benefits and risks of the new technology
• Create a cross-functional governance body to guide technical, ethical, and policy decisions
• Provide a forum for reviewing employees’ questions and concerns on an ongoing basis
• When the technology is first deployed, provide users with tools to submit software bugs and request features
• Build in stringent data security measures and mechanisms for legal and regulatory compliance (for example, by labeling copyrighted material)

As healthcare leaders navigate unprecedented transformation, their primary goal must be to ensure that emerging technologies like generative AI improve patient outcomes.

Continue reading this article and learn more about the 4 ways to navigate healthcare disruptions.