Peak Call Volume, Fully AnsweredWithout adding front-desk staff.
Hospitals and diagnostic labs face call volume that spikes hard and unpredictably — mornings, report-release windows, and post-camp surges. Resonera.ai handles hundreds of those calls simultaneously: appointment enquiries, report status, sample-collection scheduling and test preparation instructions, in 11 Indian languages.
Hospital and lab calling is part of Resonera.ai, the AI call operations platform for Indian SMBs & MSMEs.
Diagnostic call volume is spiky in a way that makes staffing genuinely difficult. A morning rush of report-status enquiries, a surge after a health camp, or a seasonal illness wave produces call volumes several times the baseline — and a front desk sized for the peak is badly overstaffed the rest of the time. Sizing for the average instead means abandoned calls exactly when demand is highest.
An AI voice agent removes the tradeoff, because concurrency costs nothing. Whether five callers or three hundred ring at once, each one is answered immediately. Resonera handles the high-frequency, low-complexity enquiries that dominate the queue: where a report has reached, what a test costs, whether fasting is required, when home sample collection is arriving, and how to book or move an appointment.
For outbound, the same agent runs sample-collection confirmations, report-ready notifications and follow-up reminders for repeat diagnostics — work that is highly repetitive and, in practice, often skipped when the desk is busy. Clinical queries, complaints and anything unusual escalate to your staff with full context, so the AI absorbs volume without ever standing between a patient and a human who needs to be involved.
Built for diagnostic call patterns
Hundreds of calls at once
Absorbs morning rushes and post-camp surges with no queue, no abandoned calls and no temporary hiring.
Report-status enquiries
Answers the single highest-volume question a lab receives, around the clock, without touching the front desk.
Sample-collection scheduling
Books and confirms home collection slots, then calls ahead so the patient is prepared and available.
Test prep instructions
Explains fasting and preparation requirements consistently — reducing sample rejections and repeat visits.
11 Indian languages
Serves the full patient mix across metros and tier-2/3 cities without separate language-specific desks.
Clinical queries escalate
Results interpretation, complaints and anything sensitive transfer to your team with the full context.
What it handles for a hospital or lab
- Report-status enquiries at peak volume, without a single abandoned call.
- Appointment and test booking, rescheduling and cancellation across departments.
- Home sample-collection scheduling and day-of confirmation calls.
- Test preparation and fasting instructions, explained consistently every time.
- Report-ready notification calls the moment results are released.
- Recall campaigns for repeat diagnostics and annual health packages.
AI calling for hospitals and labs — FAQs
Can it handle our morning call spike?
Yes — concurrency is the core advantage. The agent answers hundreds of calls simultaneously, so a morning rush or post-camp surge produces no queue and no abandoned calls, and you do not have to staff the front desk for the peak.
Can it tell patients where their report is?
Yes. Connected to your LIS or reporting system over an API, it looks up report status live during the call and tells the patient where it stands — the highest-volume enquiry most labs receive.
Does it interpret test results?
No. It handles status, scheduling and preparation enquiries. Anything involving interpretation of results is transferred to qualified staff with the full conversation context.
Can it schedule home sample collection?
Yes. It books collection slots against live availability, confirms the day before, and can call ahead on the day so the patient is prepared and reachable.
How does it reduce sample rejections?
By explaining preparation and fasting requirements consistently on every call and in the patient's own language, rather than depending on a rushed front desk to remember to mention them.