Your Data Already Has the Answer.

DNV writes it as MM.3.SR.2. Joint Commission writes it as MM.03.01.01. CMS writes it as 482.25(b)(6). They are the same requirement about medication storage. The crosswalk makes them one thing, so a finding from any source lands in the same place.

The information that matters most lives in free text, because nobody built a dropdown for "the item was expired" or "the crash cart was involved". Those descriptions are read and turned into concepts you can filter and count.

Once expiration is a concept and a crash cart is an entity, you can slice your data by the thing that actually failed, not only by the standard number a surveyor happened to cite it under.

A clause connects to the policy that implements it, the audit that tested it, the finding that flagged the gap, the CAP that closed it, and the KPI showing whether it stayed closed. Ask for everything downstream of a clause and there is an answer.

Two surveyors can cite the same real-world failure under different standards, which makes it invisible to any analysis based on citation codes. Recognizing the underlying event is what makes cross-facility patterns, and cross-organization benchmarking, possible.

Data from outside the platform comes in through CSV and Excel upload, external survey results, HR metrics, anything your team needs beside its quality data, and can be trended and cross-referenced alongside it.