AI-Driven Healthcare Revolution

AI-Driven Healthcare Revolution: Personalized Care and Cost Savings Highlight Success Story

About The Client

Our client operates an extensive healthcare system with multiple hospitals and clinics across the tri-state area. They cater to a diverse patient population and provide high-quality, personalized care.

The Problem

The healthcare system faced several challenges in delivering personalized care and engaging patients effectively, This included:

Fragmented patient data across multiple systems and locations, making it difficult to get a unified view of each patient’s health history and needs.
Lack of efficient tools for remote patient monitoring and virtual care, limiting access for patients who couldn’t easily visit in person.
Inconsistent patient engagement and education lead to lower adherence to treatment plans and poorer health outcomes.

The Approach

The TVS Next team proposed a comprehensive solution that leveraged data, AI, and virtual health technologies to address these challenges:

Unified Patient View: Implemented a data integration platform that securely aggregates patient data from various sources to create a centralized, longitudinal view of each patient’s health history and risk factors, ensuring data security and privacy.
Personalized Access and Engagement: Created a patient portal and mobile app that offered personalized health information, reminders, and education, along with virtual visits and remote monitoring to enhance access to care.
AI-Powered Insights: Used machine learning to analyze patient data and identify high-risk patients based on medical history, current health, and lifestyle. This helped us intervene early and prevent complications with accurate AI-powered insights

Services

Generative AI
Data Modernization & Management

Technology

Talend, Informatica Amazon Redshift, Google BigQuery React, Angular, Flutter, Zoom, Doxy.me Wearable device integrations TensorFlow, PyTorch Amazon SageMaker

Google AI Platform, Microsoft Azure ML AWS, Google Cloud, Microsoft Azure Docker, Kubernetes Monitoring: Prometheus, Grafana, ELK stack

The Process

Data Integration: We collaborated with the client’s IT team to connect data sources and establish secure data sharing protocols. Their expertise and collaboration were crucial for a smooth and secure data integration process, showcasing their technical capabilities.
Platform Development: Our team built the patient portal and mobile app, integrating virtual care and remote monitoring capabilities.
AI Model Training: We trained machine learning models on the unified patient data to predict risk factors and identify high-risk patients.
Pilot Testing: We conducted pilot tests with a select group of patients to refine the platform and gather feedback.
Full Deployment: After successful pilot testing, we rolled out the platform to all patients within the healthcare system.

The Result

Our client has used data-driven, AI-powered technology to revolutionize patient care, providing personalized, proactive, and accessible treatment. This has led to improved health outcomes and cost savings, marking a significant milestone in the journey toward a more efficient healthcare delivery system.

Key Outcomes

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