Cancer Screening Reminder System
Data-Driven Healthcare Analytics for Early Detection
Project Overview
The Cancer Screening Reminder System is a data-driven initiative designed to improve cancer screening rates through personalized reminders based on individual risk factors like age, sex, ethnicity, and family history.
The project focuses on addressing healthcare disparities by prioritizing screening reminders for medically underserved communities, promoting early cancer detection, and improving overall healthcare access.
Key Challenge
How to leverage public health data to create personalized cancer screening reminders that address health disparities and improve early detection rates in underserved populations?
Key Contributions
Analysis
Analyzed California Cancer Registry datasets on cancer incidence by demographic groups to identify patterns and risk factors. Developed logic for personalized screening recommendations based on national guidelines (USPSTF).
UI Foundation
Built the foundation for a user interface that generates age-specific screening reminders.
Interactive Prototype
Proactive Path - Cancer Screening Interface
Explore the interactive prototype that demonstrates the user interface for our cancer screening reminder system. This prototype showcases how users can receive personalized screening recommendations based on their individual risk factors.
Risk Assessment
Interactive questionnaire to assess individual cancer risk factors
Smart Reminders
Automated notifications based on screening schedules and guidelines
Progress Tracking
Visual dashboard to monitor screening history and upcoming appointments
Experience the Full Prototype
Click through the interactive prototype to see how the cancer screening reminder system guides users through personalized health recommendations.
View Full Prototype in FigmaCode Implementation
Tools & Technologies Used
Impact & Learning
While working with publicly available health data has its limitations, I gained valuable experience using Figma to design a user-friendly interface and creating personalized reminders. Moving forward, this could be expanded by integrating more real-time data or applying similar approaches to other areas of preventive healthcare.