Case studyHealthcare10 min read

LabLoop: from home sample collection to report delivery, a diagnostic lab chain that stopped losing samples

A diagnostic lab chain offered home sample collection across the city, but samples were mislabelled, phlebotomists arrived late and reports went out by email hours after they were ready. We built LabLoop: slot booking, phlebotomist routing, barcode-tracked samples from home to analyser, a laboratory information system and instant report delivery with doctor-friendly summaries.

20
Features shipped
4
Apps & platforms
7
Team members
20
Weeks to rollout
LabLoop phlebotomist app and sample tracking
LabLoop: every sample tracked, every report on time.
01

A mislabelled tube

LabLoop's medical director told us about a patient whose sample had been labelled with another patient's name during a busy morning of home collections. It was caught — but it shook the whole team. Labels were handwritten, samples travelled in cool boxes with paper lists, and nobody could say exactly where a given tube was at any moment.

Customers had their own frustrations: phlebotomists arriving outside their booked slot, and reports arriving by email long after they were ready.

“A lab's first job is to be sure the result belongs to the right person.”

— LabLoop's medical director
02

Following a sample

We followed samples from booking to report: slot allocation by phone, a phlebotomist with a paper route, handwritten labels, a courier handover, manual entry at the lab, analysers producing results that were typed into reports. Every hand-off was a chance for error or delay.

Where errors and delays came from
  • Handwritten labels at the patient's home
  • Paper routes and missed slots
  • Manual entry of samples and results
  • Reports emailed in batches
Technician working on components
Every hand-off in the sample chain was a chance for error.
03

A barcode from the first minute

In LabLoop, each booking generates barcoded labels printed on a portable printer at the patient's home. The phlebotomist scans each tube against the booking before drawing blood. From then on, every step — handover, receipt at the lab, analyser run — is a scan, and results flow directly from analysers into the report.

Routes are optimised across bookings so phlebotomists arrive within slot. Reports are released the moment a pathologist signs them, to the patient's app and their doctor's portal.

04

The team

Analyser integration needed an engineer experienced with laboratory interfaces.

1
Engagement lead

Lab workshops and zone rollout.

1
Product designer

Patient, phlebotomist and lab experiences.

2
Mobile engineers

Patient and phlebotomist apps.

2
Full-stack engineers

Lab system and doctor portal.

1
Integration engineer

Analyser interfaces and label printing.

7 people in total, working as one team.

05

Decisions we made

Agreed with the medical director and operations head.

01

When to label samples?

  • At the lab
  • At the patient's home with printed barcodes

Our call: At the patient's home with printed barcodes. Labelling at the source removed the chance of mix-ups in transit.

02

Manual or interfaced results?

  • Technicians type results
  • Results directly from analysers

Our call: Results directly from analysers. Interfacing removed transcription errors and saved time.

03

Email or instant reports?

  • Batch emails
  • Instant release to app and doctor portal

Our call: Instant release to app and doctor portal. Patients and doctors got results the moment they were validated.

06

Every feature, module by module

Everything that shipped for patients, phlebotomists, the lab and doctors.

Patients
Book, track, receive.
  • 01Test and slot booking

    Home collection or lab visit slots.

  • 02Phlebotomist tracking

    Arrival time and live location.

  • 03Instant reports

    Reports in the app when released.

  • 04Report trends

    Results compared with past tests.

  • 05Online payments

    Prepaid or pay at collection.

Phlebotomists
On time, correctly labelled.
  • 06Optimised routes

    Visits sequenced to meet slots.

  • 07Barcode label printing

    Labels printed at the patient's home.

  • 08Tube scan verification

    Each tube matched to the booking.

  • 09Handover scans

    Chain of custody to the lab.

Laboratory
From tube to signed report.
  • 10Sample receipt

    Scan-in at the lab with condition checks.

  • 11Analyser interfacing

    Results directly from instruments.

  • 12Worklists

    Samples by section and priority.

  • 13Validation and delta checks

    Comparison with previous results.

  • 14Critical value alerts

    Urgent results flagged for action.

  • 15Pathologist sign-off

    Digital signature before release.

Doctors and operations
Connected care.
  • 16Doctor portal

    Referred patients' reports.

  • 17Sample tracking dashboard

    Every sample's location and stage.

  • 18Turnaround monitoring

    Report times by test and zone.

  • 19Role-based access

    Patients, phlebotomists, lab staff and doctors.

  • 20Audit trail

    Every scan and result change recorded.

LabLoop laboratory information system
The lab system: results from analysers, validated and signed.
07

Rollout

We started with home collections in one zone and the central lab, then extended to all zones and satellite labs. Analysers were interfaced one by one, with results double-checked against manual entry until each matched perfectly.

  1. Weeks 1–3
    Discovery

    Samples followed from booking to report.

  2. Weeks 4–5
    Design

    Barcoding flow and apps prototyped.

  3. Weeks 6–15
    Build

    Apps, lab system and analyser interfaces.

  4. Weeks 16–18
    Zone pilot

    One zone and the central lab.

  5. Weeks 19–20
    All labs

    All zones and satellite labs.

08

What we learned

Identify at the source. Barcoding at the patient's door eliminated the most dangerous class of error.

Remove typing wherever possible. Analyser interfacing ended transcription errors in results.

Built with
  • React Native
  • Next.js
  • NestJS
  • PostgreSQL
  • Barcode and label printing
  • Analyser interfacing (HL7 / ASTM)
  • Route optimisation
  • Private cloud
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