From Pilot to Scale: Implementing an Artificial Intelligence-Based Clinical Decision Support System in Multi-Site Hospitals
Scaling any clinical technology across multiple hospitals is never only a technical project. It is an organizational effort that touches governance, clinical workflows, workforce training, data quality, safety, and financial stewardship. A pilot can prove potential in a single unit. The challenge is turning success into repeatable outcomes across different sites, specialties, and cultures. This article lays out a practical blueprint for moving an artificial intelligence-based clinical decision support system from a promising pilot to reliable enterprise use across a hospital network. The focus is on how to decide, design, deploy, and continuously improve so that clinicians trust the system, patients benefit, and leaders see predictable value. 1) Start with a clear value thesis and a narrow initial scope Before anything else, write a one-page value thesis. Name the target clinical decisions, the current pain, the measurable outcome you expect, and the time horizon to see si...