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Results/Case study

Pre-service collections rose 13.7% after one script change.

Result+13.7%Pre-service collections over the six months after implementation
ClientLarge integrated health system
AreaRevenue cycle · Pre-service
DurationTwo months to implement
ApproachInteraction analytics · Script redesign · Training
01 · Situation

The situation

Pre-service calls are where patients learn what they will owe. The health system deployed speech and text analytics to measure patient sentiment on every pre-service interaction instead of sampling a few calls a week.

02 · Diagnosis

What we found

The analytics showed specific points in the conversation where patients were commonly confused or frustrated. Reviewing those points showed the cause was either a gap in staff training or staff not following procedure. Where appropriate, dissatisfied patients received a call back to answer their questions.

03 · Change

What changed

Over two months the team revised the scripting, A/B tested three versions with live patients and then trained staff intensively on the version that performed best.

Result

The number

Pre-service collections increased 13.7% over the six months following implementation, with fewer confused patients reaching billing later in the journey.

Find the 13.7% in your operation.