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nimbryx

Industry · Healthcare & Clinics

Software that works like your clinic does — not like a generic patient app.

Healthcare operations are too specific for off-the-shelf tools. Booking systems that don't handle per-doctor availability. Lab software that wasn't built for your workflow. Patient communication that runs through personal WhatsApp. We build the system that matches how your clinic or lab actually operates.

Discuss your project

The problems we see most often

  • Appointment booking over phone with manual spreadsheet entry
  • Lab sample tracking on paper registers and Excel
  • No-show rates above 15–20% with no automated reminders
  • ISO audit failures due to inconsistent manual records
  • Patient reports sent manually, delayed by hours
  • Off-the-shelf booking tools built for single-doctor practices

What we build for healthcare businesses

  • Multi-doctor booking systems with per-doctor availability rules
  • WhatsApp Business API appointment reminders and confirmations
  • LIMS — sample intake, barcode tracking, automated PDF reports
  • Audit-ready logs for ISO 15189 and NABL compliance
  • Patient portals for report access and follow-up scheduling
  • Integration with existing accounting and billing software

What we’ve actually built

Diagnostics / Healthcare

A mid-size diagnostics lab, Delhi NCR

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

The lab was running sample tracking on a combination of paper registers and Excel sheets maintained by front desk staff. Internal audits kept flagging inconsistencies between intake records and test results. With ISO 15189 accreditation under consideration, the manual system had become a liability — not just an inconvenience.

Outcome

Zero audit failures in two consecutive internal audit cycles post-deployment. Sample-to-report turnaround time reduced by roughly 55%. The front desk team described it as '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

All appointment booking happened by phone. Front desk staff took calls, manually entered appointments into a spreadsheet, and sent SMS appointment reminders by hand. No-show rate hovered around 23%. Three front desk staff were spending roughly 60% of their time on scheduling logistics rather than in-clinic support. The clinic had tried two off-the-shelf booking platforms — both were built for single-doctor practices and couldn't handle per-doctor availability rules.

Outcome

No-show rate dropped from 23% to 9% within the first month. Front desk call volume for scheduling reduced by approximately 40%. Three staff now spend the reclaimed time on in-clinic work rather than the phone. The clinic has since extended the system to handle follow-up appointment scheduling from the doctor's end.

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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 happened on paper. Pharmacy dispensing wasn't linked to patient records, so unbilled medications disappeared into the gap between ward and billing. Lab results were printed and walked to doctors by hand — by the time a result reached the treating physician, the patient had sometimes already been discharged. Revenue cycle took 18–22 days to close after a patient left because billing staff had to reconstruct what actually happened from three disconnected sources.

Outcome

Billing cycle reduced to same-day closure for 82% of OPD cases. Revenue leakage from unbilled pharmacy dispenses dropped by 68% in the first quarter post-launch. Ward nurses recovered an average of 40 minutes per shift previously spent on paper-based record updates. The hospital COO described it as '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

Each outlet ran its own billing software with no connection to the others. The central office had no view of stock levels across the chain — procurement decisions were made by calling outlet managers on WhatsApp. Drugs near expiry were only discovered during physical stock takes, by which point write-offs were unavoidable. GST return preparation required manually exporting 12 separate sales files and reconciling them in Excel — a two-day job every month.

Outcome

Near-expiry write-offs reduced by 58% in the first six months. GST preparation time dropped from two days per month to under two hours. The central procurement team began placing consolidated group orders, reducing average purchase cost by roughly 11% through volume negotiation. Outlet managers now spend time on customer service rather than WhatsApp inventory calls.

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