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CASE STUDYSHIPPED 2025Private / enterprise app

Hospital management

Menonita Health

A hospital management system with a mobile app: patients, appointments, medical records and insurance, secured with biometric authentication.

YEAR2025
PLATFORMSiOS · Android
ROLEDesign, development & launch
CONTEXT

The challenge

Digitize a health system’s operations (patients, appointments, medical records and insurance) with the security requirements clinical data demands, and give patients and staff mobile access as protected as the core system.

APPROACH

The solution

A REST API on NestJS + TypeORM + PostgreSQL as the system’s backbone, and an Expo mobile app for user access. Identity runs on AWS Cognito, mobile access is protected with biometric authentication, and Redis speeds up high-frequency operations.

WHAT IT DOES

Key features

5 features
01

Patient management

Registration, history and follow-up of patients in a single system.

02

Medical appointments

Scheduling and management connected to the patient’s record.

03

Medical records

A structured digital clinical history, accessible from mobile.

04

Insurance

Insurer and coverage management integrated into the care flow.

05

Biometric authentication

Face ID and fingerprint on top of AWS Cognito protecting sensitive clinical data.

UNDER THE HOOD

Architecture & stack

REST API with NestJS, TypeORM and PostgreSQL; an Expo mobile app consuming the API; AWS Cognito for identity and sessions; Redis as a cache layer for high-frequency operations.

NestJSTypeORMPostgreSQLExpoAWS CognitoRedis
RESULT

An enterprise system in production, with the mobile app as the secure gateway into the hospital system.

Let’s talk about your project
SECOND OPINION
13+ years · product, architecture, team · ES / EN

When you need judgment,
not just code.

Not every engagement needs someone to take the whole product. Sometimes you already have a team and need someone who has shipped this before to look at it. A decision nobody can settle, a stack under evaluation, a roadmap that feels wrong, an estimate you do not trust. A decade of shipping across web, mobile and AI left me something more useful than a stack: judgment about what is worth building.

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