AI in healthcare operations.
Evaluate administrative agents across intake, scheduling, and front-office handoffs.
- 1
Source
Appointment requested
- 2
Agent activity
Intake & scheduling
- 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 optionsEvaluate your workflow.
We’ll review your source data and agree what to measure.
Discuss your workflow