A rapidly growing healthcare provider was experiencing a 28% appointment no-show rate, fragmented booking and follow-up processes, limited real-time scheduling visibility, heavy administrative workloads, and insufficient analytics for capacity planning. I analyzed existing scheduling and care-coordination workflows, identified process gaps, mapped key stakeholders, and gathered business, functional, non-functional, data, security, compliance, and EMR integration requirements. I also developed process maps, user stories, acceptance criteria, business rules, and requirements documentation, while using Power BI to analyze appointment data. Based on the findings, I recommended a centralized scheduling platform featuring self-service booking, automated reminders, telehealth access, operational dashboards, and no-show risk indicators. The project delivered implementation-ready documentation and data-driven recommendations designed to reduce missed appointments, improve clinic utilization, streamline administrative processes, strengthen patient engagement, and support scalable growth.