VVZ App

A privacy-focused mobile application for mental healthcare professionals to register forced care interventions under the Dutch Mental Healthcare Act (Wvggz). One Kotlin Multiplatform codebase, two stores, encryption end to end — built so a nurse can register care quickly while the patient’s rights remain protected.

platforms

iOS + Android

auth factors

framework

Kotlin Multiplatform

domain

mental healthcare

i. Overview

The value proposition: allow quick and easy registration of forced care by mental health professionals to protect patient rights and ensure mental-health institutions remain compliant with the law. The app handles a brutal regulatory surface area without making the nurse pay for it. 2023–2024.

VVZ App patient suggestion interface for mental health care registration — plate i — patient suggestion interface

ii. Architecture & Security

As Lead Developer, I designed and implemented a security-first solution:

Designed and implemented a comprehensive Kotlin Multiplatform application delivering seamless experiences across iOS and Android.
Created an innovative authentication system with multi-factor security (biometrics, PIN, and 2FA) so only devices twinned with authorised personnel can access patient data.
Built a clean architecture with separation of concerns between UI, business logic, and data layers for improved maintainability and security.
Implemented advanced encryption for sensitive patient data storage and transmission.

VVZ App patient list view for compulsory care management — plate ii — patient list, compulsory care

iii. AI & Privacy Protection

I developed innovative AI solutions that prioritise privacy:

Engineered a novel patient avatar generation system that preserves recognition capability while maintaining anonymity.
Created a prediction model to anticipate the most likely patients and care types to be registered, reducing administrative time.
Developed a speech-to-text transcription system with domain-specific terminology recognition for fast care documentation.
Implemented natural language processing APIs for smart note formatting and validation of required documentation fields.

VVZ App care registration form under Dutch WvGGZ law — plate iii — care registration form

iv. Secure API & Patient Management

Security and efficiency were paramount in the API design:

Designed and implemented a complete RESTful API infrastructure for secure communication with the central portal.
Created intelligent patient filtering and search capabilities with intuitive UI for quick identification.
Implemented real-time care suggestion functionality based on historical data and current patient status.
Built robust care registration workflows with appropriate validation for both approved and disallowed care scenarios.

plate iv — ai avatar generator, recognition without identification

v. Key Contributions

Reduced administrative burden for mental healthcare professionals through intuitive interface and AI assistance.
Enhanced patient privacy through innovative anonymisation techniques and secure data handling.
Created a cross-platform solution that works seamlessly across both iOS and Android environments.
Implemented robust authentication that balances security with usability in time-sensitive scenarios.
Developed predictive capabilities to streamline care registration while maintaining accurate documentation.

vi. Stack

Kotlin Multiplatform Biometrics + PIN + 2FA REST API Encryption Speech-to-text Predictive modelling NLP Privacy-preserving image processing

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