How one rural health system is designing targeted AI pilots to ease care delivery pressures

May 15, 2026 - 20:33

For rural hospitals, every minute and every dollar counts. That is the driving principle behind Berkshire Health Systems' approach to artificial intelligence, according to CIO William Young. He argues that AI must do more than dazzle users with flashy features. It needs to save time, reduce waste, and help the system survive relentless financial and operational pressure.

Berkshire Health is not rolling out AI broadly. Instead, it is designing small, targeted pilots aimed at specific pain points. One pilot focuses on automating prior authorization paperwork, a task that often eats up hours of staff time. Another tests AI-driven scheduling to reduce patient wait times and optimize clinician workloads. A third project uses natural language processing to help doctors quickly pull relevant data from patient records during a visit.

Young says the goal is to avoid the trap of implementing technology for its own sake. Each pilot must show a clear return on investment, either in time saved or revenue protected. In a rural setting, where margins are thin and staffing shortages are chronic, even modest gains can make a big difference.

The health system is also mindful of data privacy and clinician buy-in. Staff are involved early in the design process to ensure the tools fit real workflows. Young emphasizes that AI is not meant to replace human judgment but to handle repetitive tasks so caregivers can focus on patients.

As other rural systems struggle with closures and burnout, Berkshire Health's measured, problem-first approach offers a potential roadmap. The pilots are small by design, but if they succeed, they could scale to ease pressures across the entire organization.