Case STudy

Health & Life Sciences

Tele Medicine & Remote Counselling Enablement

Creating New channels around
digital Health and Telemedicine

Technical Debt

Agility & Speed

Customer & Employee Experience

Client Overview

A leading telemedicine startup founded to make healthcare more trackable, accessible particularly in remote areas globally. The startup initially offered basic telehealth services, such as virtual consultations for general health issues. However, as demand grew, the company sought to expand its offerings to include specialized services like remote counselling for mental health, therapy, and wellness. The traditional telemedicine model was not sufficient to meet the growing demand for mental health services, so the company decided to innovate its platform to offer comprehensive, efficient, and personalized remote counselling experiences.

Business Challenges

Pre pandemic

Before the pandemic, telemedicine adoption in Canada was relatively slow. Patients and healthcare providers were accustomed to in-person consultations, and there was limited trust in the effectiveness of virtual healthcare.

Telemedicine was still navigating complex regulatory environments, including ensuring compliance with privacy laws (e.g., HIPAA) and ensuring that remote consultations met the same legal and medical standards as in-person appointments.

The company primarily offered general telehealth services and lacked specialized offerings, such as remote mental health support or chronic condition management.

The technology infrastructure was not fully equipped for continuous patient engagement and follow-ups. Features like AI-driven assessments, automated reminders, and mood-tracking tools were not integrated into the platform.

Post pandemic

Following the pandemic, there was an exponential increase in demand for telemedicine services, including remote consultations for mental health, which put pressure on the platform’s infrastructure and resources.

Following the pandemic, there was an exponential increase in demand for telemedicine services, including remote consultations for mental health, which put pressure on the platform’s infrastructure and resources.

As demand for telemedicine services grew post-pandemic, ensuring that the quality of consultations and patient care remained high became a major concern. The challenge was in maintaining a personalized, patient-centric approach with higher volumes of patients.

The pandemic spurred growth in the telemedicine and telehealth sectors, leading to heightened competition. Many new startups emerged, and established healthcare providers quickly ramped up their virtual care services.

Approach

New Capabilities Introduced

Automated Scheduling anmd Reminders

Introduced an AI-powered scheduling system to match patients with therapists based on specialization, availability, and user preferences, significantly reducing appointment wait times.

AI-Driven Personalization

Implemented an advanced AI recommendation engine to provide personalized therapist suggestions, tailored wellness plans, and curated self-help resources based on individual user profiles and mental health needs.

Scalable Cloud-Based Infrastructure

Migrated to a cloud-first architecture to support increased user traffic and ensure high availability, elastic scalability, and reliable performance even during peak demand periods.

Enhanced Data Security and Compliance

Integrated robust security measures, including end-to-end encryption and multi-factor authentication, to protect sensitive health information and ensure compliance with Canadian privacy regulations like PIPEDA.

New Innovation Introduced

Integrated Telehealth Platform with Cloud Scalability

Developed a robust, cloud-based telehealth platform that supports seamless video conferencing, in-app messaging, and real-time data processing. This scalable solution ensured the platform could handle surges in user demand while maintaining performance and reliability.

Automated Scheduling and Matching System:

Implemented an intelligent scheduling tool powered by AI to automate therapist-patient matching and optimize appointment booking processes. This innovation reduced wait times significantly and streamlined operations for both patients and therapists.

AI Recommendation Engine for Personalized Care

Deployed an AI-driven recommendation system that matches patients with the most suitable therapists based on preferences, history, and mental health requirements. This innovation also offers tailored self-help resources and wellness plans, enhancing user satisfaction and therapeutic outcomes.

Results Delivered

The AI-driven personalization and automated scheduling system led to a 40% rise in repeat sessions, demonstrating enhanced user trust and better therapeutic outcomes.

The introduction of AI-powered therapist matching and automated scheduling reduced appointment wait times by 30%, allowing patients to access timely care while optimizing therapist utilization.

Migrating to a cloud-based infrastructure enabled the platform to handle a 50% increase in user traffic during peak demand without performance degradation, ensuring uninterrupted access to mental health services.