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nimbryx

Industry · Healthcare & Clinics

Software built around how your clinic runs, not around a generic patient app.

Most clinic software is written for a single doctor with a single calendar. That's rarely what we see. A typical setup has four doctors on different days, a lab counter that still uses a register, and a receptionist confirming appointments from her own WhatsApp. Off-the-shelf tools can't bend that far. So we build the booking, lab and patient systems around the way your clinic or lab already works, and then make the slow parts faster.

Discuss your project

The problems we see most often

  • Appointments taken on the phone and typed into a spreadsheet later
  • Lab samples tracked in a paper register, with an Excel copy if you're lucky
  • No-shows above 15–20% because nobody sends reminders
  • ISO audits going badly because the manual records don't match up
  • Reports emailed by hand, often hours after they're ready
  • Booking tools that assume one doctor and one calendar

What we build for healthcare businesses

  • Booking for multiple doctors, each with their own availability rules
  • Appointment reminders and confirmations over the WhatsApp Business API
  • LIMS covering sample intake, barcode tracking and automatic PDF reports
  • Logs that hold up in ISO 15189 and NABL audits
  • Patient portals where people pull their own reports and book follow-ups
  • Hooks into the accounting and billing software you already use

What we’ve actually built

Diagnostics / Healthcare

A mid-size diagnostics lab, Delhi NCR

Next.js · Node.js · PostgreSQL · PDF generation · Barcode integration

Sample tracking ran on paper registers plus Excel sheets kept by the front desk. Internal audits kept finding mismatches between intake records and test results. With ISO 15189 accreditation on the table, the manual setup had gone from inconvenient to genuinely risky.

Outcome

Zero audit failures across two back-to-back internal audit cycles after go-live. Sample-to-report turnaround dropped by roughly 55%. The front desk team called it 'the first system that matches how the lab actually works'.

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Healthcare / Multi-Specialty Clinic

A 6-doctor clinic, South Delhi

Next.js · Node.js · WhatsApp Business API · PostgreSQL · Accounting software integration

Every appointment was booked over the phone. Front desk staff took the call, typed it into a spreadsheet and sent SMS reminders by hand. No-shows hovered around 23%. Three front desk staff spent roughly 60% of their day on scheduling instead of helping patients in the clinic. The clinic had already tried two off-the-shelf booking platforms; both were built for single-doctor practices and couldn't cope with each doctor having their own availability rules.

Outcome

No-shows dropped from 23% to 9% in the first month. Scheduling calls to the front desk fell by about 40%, and the three staff now spend that time with patients instead of on the phone. The clinic has since extended the system so doctors can book follow-ups themselves.

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Hospital Management

A 180-bed private hospital, Delhi NCR

Next.js · Node.js · PostgreSQL · Redis · React Native · PDF generation · HL7 lab interface

OPD registration was done on paper. Pharmacy dispensing wasn't tied to patient records, so medicines went out on the ward and never made it to the bill. Lab results were printed and carried to doctors by hand, and now and then a result reached the treating doctor after the patient had already gone home. Closing the revenue cycle took 18–22 days after discharge, because the billing team had to piece together what had actually happened from three systems that didn't talk to each other.

Outcome

82% of OPD cases now close billing the same day. Revenue lost to unbilled pharmacy dispensing fell by 68% in the first quarter after launch. Ward nurses got back about 40 minutes a shift that used to go on paperwork. The hospital's COO put it simply: 'the first system that made the billing team and the clinical team actually talk to each other.'

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Pharmacy / Healthcare Retail

A 12-outlet pharmacy chain, Delhi NCR

Next.js · Node.js · PostgreSQL · GST e-invoice API · Barcode scanner support · Tally sync

Every outlet ran its own billing software, and none of them were connected. Head office couldn't see stock across the chain, so purchasing decisions were made by messaging outlet managers on WhatsApp. Near-expiry drugs only surfaced during physical stock counts, by which time the write-off was already locked in. GST returns meant exporting 12 separate sales files and reconciling them in Excel. Two days of work, every month.

Outcome

Near-expiry write-offs fell 58% in the first six months. GST prep went from two days a month to under two hours. Procurement started placing consolidated orders for the whole group, which brought average purchase cost down by roughly 11% through volume deals. Outlet managers now spend their time on customers instead of fielding stock queries on WhatsApp.

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