The Hawaii Health Risk Assessment System is an AI-powered healthcare solution designed to assess individual health risks, focusing on cardiovascular, metabolic, and infectious diseases while ensuring health equity across diverse populations. By using a generative AI model, this system generates detailed risk reports based on user-provided information, facilitates appointment scheduling, and offers data-driven insights for public health administrators. The project aligns with the innovation criteria of Population Health, Public Health and Patient Safety, and Clinical Research, aiming to reduce healthcare disparities and promote preventative care. Flowchart of the System: User Input: Users provide their personal and health-related information via a form. Form Submission: Data entered by the user is submitted to the backend. Generative AI Model Processing · The system processes the submitted data using a generative AI model. · Outputs a Health Risk Assessment Report. Health Risk Report Evaluation Two outcomes: · No Risk Detected: Display health tips and lifestyle recommendations to the user. · Risk Detected: Navigate to the Health Risk Status Panel. Health Risk Status Panel: · Displays the risk detected. · Includes a Book Appointment button. Book Appointment Workflow: User clicks Book Appointment, opening the Appointment Booking Panel. Features: · Dropdown to select hospital. · Calendar to choose date and time. · Health risk status is auto-filled and displayed. Data Storage: User responses and health reports are saved in: · SQLite Database: For structured storage and analysis. · .json File: For backup and interoperability. Admin Dashboard: Connects to the SQLite database and JSON files. Provides: · City/state health trend visualizations. · Patient-level insights. · Data for clinical research and public health policy-making. This project aims to bring fair healthcare to everyone, connect remote communities with providers, and guide better health decisions.
Category tags: