As artificial intelligence (AI) continues to reshape healthcare, its presence in pathology and surgical reporting is growing fast. Synoptic reporting—a structured, checklist-based approach that improves clarity and consistency—is one area where AI has the power to be a game-changer. But with that power comes real challenges.

Cancer care is changing—fast. New treatments, new diagnostics, new data. Every day, oncologists and care teams make decisions that can change (or even save) lives. But all that innovation comes with a challenge: how to manage the data behind it.

If you're leading pathology or surgical services at an accredited cancer center, you know the gap between data collection and clinical decision-making is still too wide. Real World Data (RWD)—from EHRs, lab systems, imaging, and pathology reports—holds massive promise. But too often, it’s stuck in silos, buried in narrative text, or missing the context needed for action.