Healthcare and clinics

Patient calls where every detail is confirmed, not assumed.

Scheduling, refill and triage calls live or die on captured details: the right patient, the right date, the right callback number. VoiceLens grades whether each was captured and confirmed, and flags when poor audio makes the transcript untrustworthy.

Free to start · Works with any call platform · Same rubric for bots and people

How VoiceLens helps

From transcript to a scorecard your team acts on.

Slots and confirmations per call type

Model scheduling, refills and triage as cases in one rubric, each with the details that must be captured and confirmed.

Transcript reliability is visible

Low transcription confidence, speaker uncertainty and line quality are separate faults, so a scorecard never looks more certain than the audio allows.

Data handled with care

Workspaces isolate data per organisation, roles control who sees recordings, and signed webhooks let you move analyses into your own systems.

Fault detection

What VoiceLens catches on these calls

Every fault is timestamped and pinned to the transcript turn it came from, for AI and human agents alike.

  • Missed correction

    The caller corrects a detail and the agent keeps the old one.

  • Required phrase missed

    A disclosure or confirmation the rubric requires was never said.

  • Customer had to prompt

    The caller has to nudge the agent to continue or respond.

  • Low transcription confidence

    Parts of the transcript are unreliable and should be trusted less.

See what your QA process has been missing.

Create a workspace, drop in a recording or a transcript, and read the first scorecard in minutes.