Optimizing cardiology workflows is crucial for improving patient outcomes and operational efficiency. Most workflow failures occur during care transitions—between diagnostics, procedures, discharge, and follow-up—rather than during the procedures themselves. These gaps lead to delayed follow-ups, redundant tests, missed risk signals, and increased clinician workload. By integrating data across systems, implementing analytics, and creating closed-loop workflows with clear accountability, cardiology programs can reduce errors, streamline care, and enhance coordination without adding administrative burden. A data-driven approach ensures that information flows seamlessly across all care phases, supporting better patient outcomes and more sustainable clinical teams.