Labs are WhatsApp-first in much of India
Diagnostic chains and neighbourhood pathology labs from Ahmedabad to Coimbatore receive test enquiries on WhatsApp — “Price for HbA1c and lipid profile?”, “Do I need fasting for thyroid panel?”, “Is home collection available in Sector 62?”, “How long for culture report?” Call centres duplicate the same answers while phlebotomists wait for address confirmations.
Wrong fasting instructions or outdated rate cards create patient friction and rework. Sabrixa indexes your official test catalogue, prep guidelines, collection-area list, and TAT document so every automated reply matches what your lab actually publishes — not scraped data from an old website.
High-value FAQs to automate
Prioritise rate lookups for common panels, fasting and medication rules copied from your patient instruction sheets, home-collection PIN code coverage, report delivery timelines, and branch timings for walk-in sample submission. Corporate tie-up and insurance queries can link to a PDF or route to your B2B desk.
When a patient asks “Can I eat before a PPBS test?” the bot pulls your approved prep note. When they ask “Is my dengue NS1 result critical?” Sabrixa escalates immediately — result interpretation stays with qualified staff. Sabrixa also captures pickup address and preferred slot when someone requests home collection, tagging the lead for your logistics coordinator.
Operations at scale across collection centres
Multi-city lab networks struggle with inconsistent WhatsApp replies when each centre maintains its own unofficial rate list. Centralise approved documents in Sabrixa with branch overrides where local pricing differs. Patients messaging the Nagpur franchise get Nagpur tariffs automatically.
Reduce call-centre repeat volume during health-check camp seasons and corporate annual-screening drives. Managers review which tests are asked about most and whether bot-qualified home-collection leads convert — actionable insight for marketing and ops. That is how Indian diagnostic labs turn WhatsApp from a noisy inbox into a structured enquiry channel without compromising on prep accuracy.