How a Gujarat Hospital Group Captures Patient Intake with a Gujarati AI Agent

The hospital group

A multi-specialty hospital group in Gujarat. Many of its patients come through referrals, and most are more comfortable speaking Gujarati than English or Hindi.

The challenge

• Referred patients need a quick, clear intake. The hospital wants to know what care each patient needs and which department should see them before they arrive.
• Language. Patients speak Gujarati, often mixing in English medical words.
• Manual notes don't scale. Front-desk staff writing details from phone calls into registers or spreadsheets is slow and error-prone.

What was built

A Gujarati AI voice agent set up as the hospital's medical assistant. On each call it collects four things, one question at a time:

1. the patient's full name;
2. the treatment they need;
3. which department's doctor they should see;
4. when they will arrive at the hospital.

When the call ends, an automated workflow adds a row to the hospital's Google Sheet: time of the call, patient name, treatment, department, arrival time, and a short call summary. Every intake lands in one shared place, instead of in phone notes.

The agent does not give medical advice. It collects intake details and leaves diagnosis and treatment to the hospital's doctors.

What made it work

• Ask only what the desk needs. Four details, in the order staff use them.
• One question at a time, in Gujarati, confirming names and times back.
• Match field names to sheet columns. Early on, some sheet columns came out blank because the column mapping used different names from the fields the agent produced. Aligning the two fixed it; test with a real call before going live.
• Use the tools staff already have. A shared Google Sheet needed no new software or training.

Results

We haven't published figures for this deployment. We'll add rounded, dated results with the hospital's approval.

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