Policy documents are written to satisfy regulators and protect insurers — not to help families understand coverage.
From a compliance perspective, these documents do their job well. They define terms precisely, list conditions exhaustively, and reduce ambiguity in legal interpretation. Every clause exists to ensure the policy holds up under scrutiny.
Clarity for the reader is secondary.
I’ve seen policy wordings that are technically accurate but practically unreadable. Long sentences, cross-references, and layered definitions make it hard to understand how coverage actually behaves. Families may read the document and still have no sense of what will happen during a real claim.
Another issue is fragmentation. Information that affects one outcome is scattered across sections — benefits, exclusions, definitions, conditions. Understanding impact requires stitching them together mentally. Most people can’t, especially before they’ve experienced a claim.
This design creates a false sense of understanding. Reading a policy feels like diligence. But comprehension remains shallow. True meaning only emerges when clauses are applied to hospital bills.
Geography and hospital behavior further complicate this. Policy documents don’t explain how clauses interact with local billing practices or cost structures. Compliance assumes uniformity. Healthcare isn’t uniform.
What makes this dangerous is timing. Documents are read when families are calm. Interpretation happens when they’re stressed. The gap between the two is where disappointment lives.
This is why insurance understanding needs translation, not just documentation. BimaScore exists to bridge that gap. Using Bima Analyze, an AI engine evaluates over 100 real-world factors — including insurer settlement behavior, hospital billing patterns, and location-based healthcare costs — without document uploads. The result is a clarity rating between 400 and 1000, turning legal structure into usable insight.
The long-term vision behind Bima Clarity is to make insurance understandable without forcing families to become experts.