About ANSWA
We're revolutionizing hypertension and mental health management through AI-powered technology, making professional-grade nursing assistance accessible to everyone, everywhere.
To democratize access to hypertension management by combining cutting-edge AI technology with evidence-based medical approaches, ensuring that quality cardiovascular care is available to everyone, regardless of location, time, or circumstances.
Theoretical Foundation & Methodology
Our AI chatbot is grounded in the Stuart Stress Adaptation Model, a mental health nursing framework that views mental disorders as adaptive responses to stress. The model integrates multiple dimensions in assessment and nursing interventions:
- •Biological dimension
- •Psychological dimension
- •Sociocultural dimension
- •Environmental dimension
- •Legal aspects
Following Design Science Research methodology from information systems field, our development focuses on creating and evaluating practical artifacts through systematic cycles:
- •Problem identification
- •Requirements analysis
- •Design and prototyping
- •Development and implementation
- •Testing and evaluation
The chatbot is designed to comprehensively identify stressors, cognitive-emotional responses, and coping patterns in hypertensive clients, enabling early detection and response to mental health issues through a holistic, evidence-based approach that is contextually appropriate for Indonesia.
Key Features
Comprehensive health evaluations using advanced RAG technology
Smart tracking with automatic categorization and trend analysis
Track medications, set reminders, and monitor adherence rates
Evidence-based resources for hypertension management
Address stress and emotional factors affecting blood pressure
Comprehensive reports and analytics for your health journey
Sign Up
Create your secure account and complete your health profile
Assessment
Take our comprehensive hypertension and mental health assessment
AI Support
Chat with our AI assistant for personalized hypertension guidance
Track Progress
Monitor your blood pressure and health journey with detailed reports
Our Team
Expert team from Universitas Indonesia developing the ANSWA platform with research-based and evidence-based practice approach.
Professor of Mental Health Nursing at Faculty of Nursing, Universitas Indonesia. Leading expert in community mental health nursing, psychosocial interventions, and research-based mental health education since 1990s.
Professor of Information Systems at Faculty of Computer Science, Universitas Indonesia. Expert in information technology adoption and health information systems with extensive publications in digital health systems and AI applications.
Nurse and researcher at Faculty of Nursing, Universitas Indonesia. Specializes in mental health nursing and nursing informatics, with systematic review on NLP for mental health assessment, providing scientific foundation for AI chatbot development.
Open Source
ANSWA is built with transparency in mind. Our codebase is available on GitHub, allowing developers and researchers to contribute to mental health nursing technology advancement.
Easy Deployment
Deploy ANSWA to your own infrastructure with our comprehensive deployment guide. Compatible with major cloud providers and supports custom configurations.
Whether you're a developer, healthcare professional, or someone passionate about improving hypertension management, we'd love to hear from you.