Achieving Cost Savings and Scalability in Healthcare with a Modernized Tech Stack
Completely re-architected and restructured a healthcare company for scalability in 12 months, saving over $4M in annual costs while retaining HIPAA compliance.
Cost Savings
Achieved over $4 million in annual cloud savings, allowing the client to reallocate funds towards innovative projects.
Increased Reliability
Dramatically improved system uptime and performance, ensuring consistent and reliable operations.
Scalability
Developed a flexible and robust infrastructure capable of supporting the client's ambitious growth targets.
Efficiency
Streamlined operations and reduced maintenance overhead, freeing up resources for other critical initiatives.
Overview
In the rapidly evolving MedTech space, staying ahead technologically isn't just an advantage—it's essential. Our client, a well-established leader with decades of success, faced significant technical debt and an aging technology stack. The acquisition by a Private Equity firm aiming for expansion brought these issues into sharp focus, necessitating a comprehensive technological overhaul.
Objective
Our main objective was to modernize the client's tech stack to boost scalability, performance, and reliability. We also aimed to cut down on cloud spend and operational costs, while enhancing system reliability and user satisfaction. Crucially, these improvements had to be implemented without disrupting the ongoing critical operations.
Challenges
Our client faced significant challenges with their ETL process and data quality due to integration with multiple EHR systems. They needed to unify their data storage to reduce cloud costs and enable advanced data analytics and visualization capabilities to maintain a competitive edge in the market.
Solution
We undertook a thorough Discovery and Framing effort to dive deep into the client's tech stack, diagnosing the root causes of their issues. Our solution included building a data lake with a distributed querying engine, which reduced cloud spend by millions and increased scalability. We also developed a comprehensive data analytics layer to derive and identify predictions and insights across all customer data. This strategic approach not only unified the data storage but also enhanced the platform's scalability and stability, significantly reducing operational costs and improving overall efficiency.
