Eclara – AI-Powered Patient Risk Assessment

Preeclampsia is a serious pregnancy-related hypertensive condition that can lead to complications for both the mother and baby if not detected early. It affects about 5–8% of pregnancies worldwide, especially in low-resource settings where regular advanced screening isn’t easily available. Eclara helps in early identification of preeclampsia risk using simple, routine maternal health indicators, no expensive lab tests required. To empower healthcare providers and expectant mothers with AI-assisted early detection for safer pregnancies.

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Eclara – AI-Powered Patient Risk Assessment

Features

What it Offers?

Research-Grade Design

Created for use by clinicians and researchers in clinical and academic environments.

Smart Validation

Built-in logic ensures data accuracy before processing.

Cloud-Based AI Risk Analysis:

Patient data is securely sent to the cloud, where our backend AI models analyze it to assess risk.

Easy Operability

The app takes basic clinical data such as:

The app takes basic clinical data such as Age, BMI, Blood Pressure (Systolic and Diastolic), Diabetes, Hypertension History, and Proteinuria
Based on these, it classifies each patient as High Risk or Low Risk for developing preeclampsia.
Provides a guided section to quickly record key medical history details, specifically checking for the presence of Proteinuria, History of Hypertension, and Diabetes using simple "Yes/No" toggles.

Community Impact and Smart Validation

Built-in logic ensures data accuracy before processing.

The app features built-in logic that provides immediate feedback and prevents registration if the entered Patient ID already exists, prompting the user to use a different ID for data accuracy.
Along with providing real-time predictions, the app also contributes to building Pakistan’s maternal health dataset, helping researchers and healthcare professionals improve future maternal care through data insights.

Privacy First

All information is used with patient consent and handled anonymously for research and improvement of maternal health outcomes.

Confirmation and ID Retrieval: Users receive an immediate "Success" pop-up confirming data storage and clearly displaying the newly saved Patient ID for future reference.
Secure Data Handling: All patient data is securely handled and stored using Google Firebase infrastructure, ensuring a privacy-first approach to data management.