Tecsys, a global leader in supply chain management software, has announced the launch of TecsysIQ™, a next-generation, cloud-native intelligence layer designed to help healthcare organizations consolidate disparate data sources and unlock real-time, AI-driven insights across clinical, financial, and operational domains.
Powered by the Databricks Data Intelligence Platform, TecsysIQ empowers health systems with a modern data analytics framework that accelerates the deployment of AI-enabled applications and enhances strategic decision-making to improve patient care and overall system efficiency.
In today’s healthcare landscape, supply chains are inherently complex-spanning multiple platforms, departments, and third-party systems. This fragmentation often makes it difficult for healthcare leaders to access timely, relevant insights. TecsysIQ addresses this challenge by integrating data from EHRs, ERPs, inventory and procurement systems, as well as trusted third-party sources, into a unified, governed environment for smarter planning, forecasting, and response.
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“Healthcare supply chains have long struggled with data trapped in silos and outdated systems,” said Rex Ahlstrom, Chief Strategy Officer at Tecsys. “TecsysIQ closes that gap by delivering timely, contextual insights into the hands of supply chain, clinical and finance leaders so they can make decisions that improve both operational and patient outcomes. By combining Databricks’ world-class data engineering capabilities with Tecsys’ domain leadership in healthcare, we’re enabling a powerful new layer of intelligence for health systems.”
TecsysIQ is built to support federated lakehouse architectures, allowing organizations to seamlessly discover, query, and govern distributed datasets. It also simplifies data sharing through Delta Sharing, enabling secure and real-time exchange of live data across different platforms, cloud environments, and geographies—all within a governed, enterprise-grade framework.
In addition, TecsysIQ leverages AWS Bedrock to provide secure access to foundational large language models (LLMs), supporting generative AI use cases within healthcare. This allows healthcare providers to apply advanced natural language processing tools while maintaining compliance and governance standards