Healthcare Registration App

Cross-Platform Forced Care Registration Solution

Overview

In 2023-2024, I led the development of a privacy-focused mobile application for mental healthcare professionals to register forced care interventions under the Dutch Mental Healthcare Act (Wvggz). This Kotlin Multiplatform (KMP) solution streamlines the administrative burden for healthcare professionals while maintaining strict patient privacy and data security standards. The value proposition of this app is to allow the quick and easy registration of forced care by mental health care professionals to protect the rights of the patients and to ensure the compliance of the mental health instutions with the laws.

Healthcare App Overview

Technical Achievements

Cross-Platform Development & Architecture

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

  • Designed and implemented a comprehensive Kotlin Multiplatform application delivering seamless experiences across both iOS and Android platforms
  • Created an innovative authentication system with multi-factor security (biometrics, PIN, and 2FA) to ensure only devices twinned with authorized 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
Security Architecture

Advanced AI Integration & Privacy Protection

I developed innovative AI solutions that prioritize 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
AI Privacy Features

Secure API Integration & 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
Secure API Integration

Key Contributions

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

Technologies & Skills

  • Kotlin Multiplatform for cross-platform development
  • Secure authentication with biometrics, PIN, and 2FA
  • REST API design and implementation
  • Advanced encryption for sensitive healthcare data
  • AI-powered speech recognition and transcription
  • Predictive modeling for patient and care suggestion
  • Natural language processing for documentation
  • Privacy-preserving image processing
  • Cross-platform UI development

Enhancing mental healthcare delivery through secure, efficient technology