Remote patient monitoring is changing where and how nursing care happens. Continuous monitoring and AI can now flag a deteriorating patient early, so nurses and frontline teams can act before a situation becomes urgent. This case study looks at how Ochsner Health has introduced AI-supported continuous monitoring to support its clinical teams. It covers what has changed for staff and patients, and the lessons learned along the way, from building trust in alerts and avoiding alarm fatigue to fitting monitoring into existing workflows.