Back to portfolioCase study · 11
HealthcareMobile

Apps for medical studies.

Long Covid research and opioid prevention.

Mobile apps for Long Covid studies, and a platform that controls prescribed doses and checks in with patients by SMS, with a dashboard for their doctors.

ROLE
Team lead · Tech Lead
WHEN
2021 · 2024 – 2026
WHERE
Utrecht · USA
CLIENTS
Shared on request

THE HEADLINE

Long Covid

Mobile apps used in medical studies

Dose
requests allowed or denied by device
SMS
pain check-ins for patients
Doctor
dashboard to monitor patients

01 · The problem

Research and care both depend on patients showing up.

Studies need patients to report reliably, and opioid prevention needs doctors to see warning signs early. Both meant building apps patients actually use, with clinicians in the loop.

02 · What I built

Patient apps, with doctors in the loop.

01

Long Covid study apps

Led the team that built the mobile apps used in Long Covid studies.

ResearchReact Native
02

Dose control

Prescriptions assigned to a dispensing device that logs every dose request, allowed or denied.

Devices
03

SMS check-ins

Scheduled questionnaires by text, with each answer linked to the dose history.

Twilio
04

Clinician dashboard

Patients, doctors, pharmacists, devices and prescriptions in one web app, with charts of device events.

Next.jsDashboard
05

Backend for thousands

A modular NestJS backend with GraphQL and REST, built for thousands of users.

NestJSGraphQL

03 · Key decisions

Make it easy to keep going.

01

Patients first

The apps are built for the people who use them every day, not just for the study.

02

Doctors see what matters

Dose requests and pain answers sit side by side, so the patients who need attention are the ones doctors see first.

04 · Stack

Under the hood.

Mobile

  • React Native
  • TypeScript

Web

  • Next.js
  • Material UI
  • AG Grid
  • Highcharts

Backend

  • NestJS
  • GraphQL
  • MikroORM
  • PostgreSQL
  • Twilio
  • AWS S3

05 · Results

What it added up to.

2
Clinical programmes supported
~30
Backend modules on the prevention platform
Thousands
Of users the backend was built for

Next case study · 12

AI for TikTok creators

Building health apps people stick with?

I build patient and clinician products end to end.