Modernizing Health Analytics: Scaling Platforms for Data-Ready Solutions
TL/DR –
Premier, a provider of healthcare solutions, faces challenges with data readiness due to the complex, fragmented healthcare systems and strict privacy regulations. To deliver high-quality AI-ready data to hospitals, health systems, physicians, and life science companies, Premier must process billions of medical records. As data volumes and user demand expanded, Premier sought better performance and improved price-performance at scale, resulting in the decision to adopt a modern platform to support their future growth.
Optimizing Modern Healthcare Analytics on Existing Platforms
Premier delivers solutions for enhancing community health by optimizing supply pricing, enhancing the quality of care, and aiding providers in performance benchmarking and improvement. The complexity of data readiness in healthcare is often a challenge due to the fragmented generation of data from payers, providers, practitioners, and suppliers across the healthcare system. Overcoming this challenge and delivering high-quality, AI-ready data to hospitals, health systems, physicians, and life sciences companies is the main focus of Premier’s data team. Their work involves processing billions of medical records including real-time HL7 healthcare transactions and daily batch files.
As data volumes and user demand expanded, Premier used a combination of enterprise data platforms such as Teradata, Azure Synapse, and Oracle to maintain consistent performance at peak concurrency and improve price-performance at scale. However, the rapid growth of Premier’s flagship products, Quality Enterprise and INsights, increased the requirements of the underlying data warehouses. Quality Enterprise, a tool used by over 20,000 users for benchmarking, cost improvement, and care transformation, required additional support to handle increasing concurrency and accelerate insight delivery whilst maintaining cost efficiency.
Similarly, INsights, Premier’s platform assisting healthcare organizations to optimize AI-ready analytics, required a stronger foundation. With its expansion to 77 health systems, it needed to support more advanced queries and higher dashboard concurrency. Premier examined options to ensure predictable performance for embedded BI use cases and maintain cost efficiency as workloads increased. As explained by Steve Cornett, Principal Architect at Premier, “We needed a platform that could expand with demand without adding operational complexity while delivering strong performance. Evaluating long-term support, Premier decided to select a modern platform designed to fuel future growth.”
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