1. The Business Challenge

The management and diagnosis of Polycystic Ovary Syndrome (PCOS) rely heavily on consistent symptom data (menstrual cycles, skin condition, etc.). The challenge was that manually recorded patient data was often inconsistent and decentralized, making initial patient self-screening difficult and hindering medical researchers from obtaining structured, high-quality data for studies. Consequently, diagnosis was frequently delayed.

2. The Incode Online Solution

Incode Online developed PCOS Tracker Indo as an advanced data collection and analytics platform:

1. Clinical Data Structure: We designed the Mobile App with a data collection structure aligned with clinical diagnostic criteria (e.g., Rotterdam criteria) to ensure patient-entered data was valid for medical analysis.
2. Automated Risk Calculation: The platform implements real-time analytical algorithms to automatically calculate the PCOS risk score based on user symptom entries. This provides users with a fast and objective initial self-screening.
3. Data-Driven Personalization: The application provides personalized health advice and information based on the user’s unique data (e.g., lifestyle suggestions tailored to the recorded cycle phases), increasing engagement and the quality of collected data.

3. Measurable Results (ROI)

The platform successfully transformed patient symptom data from sporadic input into a structured research asset and an effective self-management support tool.