Case study · Healthcare: home and clinic blood testing · 2025
A report parser that turns lab PDFs into signed-off patient reports in minutes.
A clinical platform built from the ground up, with a parser that turns lab PDFs into reports doctors can review and sign off.
- Ferritin18Low
- Vitamin D72Normal
- HbA1c39Normal
- Cholesterol5.6High
- to parse and send a report
- Minutesto parse and send a reportNot by hand
- more booking conversions
- 35%more booking conversionsAfter UX and journey mapping
- admin runs it all
- 1admin runs it allProducts, bookings, reports and fulfilment
- Lighthouse performance
- 90+Lighthouse performancePublic website
The story
AiwasLabs sells home and clinic blood tests across the UK. Every test is its own product, with its own science, paperwork and patients, and off-the-shelf software could not hold it. The Hizmedia team built the system from the ground up, with a report parser at its heart: doctors upload a lab PDF and get back an editable report they can review, annotate and sign off.
The challenge
Off the shelf could not hold it.
- 01
AiwasLabs offers more than 40 test products to UK patients, each with its own biomarkers, paperwork and patient journey.
- 02
Turning lab results into clear reports was manual work for clinicians, and getting finished reports to the right patient meant chasing.
- 03
Off-the-shelf platforms could not hold the clinical detail, so everything had to be built around how the clinic actually works.
Patient accounts
Signed off, then straight to the patient.
Finished reports are tied to the patient and their booking, published to their account and emailed. No manual chasing.
- Tied to the patient and their booking
- Published to their account and emailed
- No manual chasing for the clinic team
Wellness blood test
Reviewed and signed off by your doctor
Illustrative · example values
What was built
One system, run by one admin.
- 01
Report parser for doctors
Clinicians upload a lab PDF. The parser extracts each biomarker into an editable report with values and reference ranges. Doctors review, add notes and sign off.
- 02
Patient accounts
Finished reports are tied to the patient and their booking, published to their account and emailed. No manual chasing.
- 03
Clinical CMS
Products, biomarkers, FAQs and educational content, all managed from a custom admin.
- 04
Booking and clinic calendar
Patients book a clinic visit or a home kit, and appointments appear on a status-driven calendar.
- 05
Online store
Home test kits paid for with Stripe, fulfilled with Inuvi, then shipped and tracked to the patient.
- 06
Public website
Built on Next.js and Tailwind, with search-focused product pages.
How it works
From order to signed report.
- 01
Patient orders or books
- 02
Payment taken
- 03
Kit shipped or clinic visit
- 04
Lab runs the test
- 05
Report parsed
- 06
Doctor reviews and signs off
- 07
Published to patient account and email
In their words
It feels like our own system, not software we rent.
AiwasLabsBuilt with
- Next.js
- TypeScript
- React
- Expo
- Tailwind CSS
- Supabase
- Neon
- PostgreSQL
- Medusa
- Stripe
- Resend
- FastAPI
- Cloudinary
- Node.js
- Vercel
The same team builds custom tools on Claude. If you have a process nothing off the shelf quite fits, let's talk about it.
Project details from Hizmedia's project page. Report graphic is an illustrative recreation with example values.
From AI curious to AI capable
Find out what AI can do for your business.
Start with an audit. You will know exactly where AI fits, what to do first and what it should give back. Your report looks something like this.
Prepared for
your business
What Claude can really do
Contents
- 01The possibility gap
- 02Opportunity map
- 03Your Claude strategy
- 04Setup and safety
- 05The roadmap
Every opportunity mapped, scored and turned into a costed Claude roadmap.