Sentinel listens to every patient interaction, not a sample. AI categorizes outcomes and ties them to collections, cost and satisfaction so teams can fix the cause.
Revenue cycle, patient access and contact center leaders who want every call measured and tied to the numbers they already answer for.
Speech and text analytics across all patient interactions, instead of a few sampled calls a week.
Each interaction is categorized and tied to collections, cost and satisfaction, so patterns surface as they form.
Findings point to the script, training gap or process step behind the pattern, so teams fix the cause rather than coach one call.
Pelorus clients use Sentinel to find where interactions erode revenue or trust, then measure whether the fix worked.
Of interactions reviewed
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