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AgentScore

AI in healthcare operations.

Evaluate administrative agents across intake, scheduling, and front-office handoffs.

Example workflow
  1. 1

    Source

    Appointment requested

  2. 2

    Agent activity

    Intake & scheduling

  3. 3

    Review

    Handoffs reviewed

Available source
CSV / API
Measurement
Agent performance and implementation maturity

Where agents work.

Patient intake bot
Books appointments, captures insurance details, and runs eligibility checks before front-desk contact.
Scheduling assistant
Fills cancellations, manages waitlists, and reduces no-shows with timed reminders and reschedule offers.
Prior-auth handler
Drafts prior-authorization submissions from chart context, tracks status, and escalates pends to a human.
Charting copilot
Drafts the visit note from the conversation, formatted for the EHR and subject to clinician sign-off.
Care-gap recall
Reads panel data, contacts patients due for screenings or follow-up, and books the visit.

What to measure.

Completed encounters
Agent-booked visits that closed in the EHR.
Denials avoided
Prior-auth or eligibility issues caught before the encounter.
Clinician time saved
Admin minutes returned to the provider per shift.
No-show rate
No-show rate on agent-booked versus human-booked appointments.
Override rate
Frequency of staff corrections to agent output.

Measurement depends on your source records and mapping. These are signals to evaluate, not automatically collected metrics.

Source coverage and outcome attribution depend on the records you provide.

Review setup options

Evaluate your workflow.

We’ll review your source data and agree what to measure.

Discuss your workflow