ChronoCure:AI-led Chronic Care

Empower your chronic care practice with AI-powered patient-focused platform.

In India, chronic care doctors face a race against the clock. The rising prevalence of conditions like diabetes and heart disease, coupled with the complexities of patient follow-ups, tackling patient reluctance, early warning sign detection, patient medication and diet adherence, and lifestyle education, make their task daunting.

ChronoCure, an AI-powered platform, is designed to simplify these complexities. It automates critical tasks such as in-hospital patient appointment scheduling, identifies early warning signs from patient data, and actively engages patients through the convenience of WhatsApp. It manages medication timetables, reminders, and interactions, provides personalized therapeutic diets from certified dietitians to your high-risk chronic patients, and delivers comprehensive patient education. Further, it supports making accurate clinical decisions with limited information, digitizes paper-based medical records - accommodating your preferred working style - and makes them accessible anytime, anywhere for you and your patients.

Automated In-Hospital Appointments:ChronoCure simplifies your schedule by automating in-hospital patient appointments.

Boosted Revenue: Optimizes patient care and automates business-critical tasks, leading to a boost in revenue.

Early Warning Sign Detection: Identifies early warning signs from patient data, enabling timely intervention.

Active Patient Engagement: Our advanced AI actively engages with patients through the convenience of WhatsApp for seamless communication.

Medication Management: Handles medication timetables, reminders, and interactions, ensuring adherence and reducing errors.

Personalized Diet Plans: Provides certified dietitians to create personalized therapeutic diets for your high-risk chronic patients.

Comprehensive Patient Education: Delivers thorough patient education to improve understanding and engagement in their healthcare.

Enhanced Decision Making: Assists in making accurate clinical decisions with limited information.