Tecsys AI unifies healthcare data
- June 9, 2025
- Steve Rogerson

Canadian supply-chain firm Tecsys is helping healthcare organisations unify fragmented data and deliver AI-powered insights across clinical, operational and financial systems.
TecsysIQ is a cloud-native intelligence layer built on the Databricks data intelligence platform. It delivers an analytics foundation that accelerates the development of AI-enabled applications and data-driven decision-making to improve patient care and strengthen health system performance.
By nature, healthcare supply chains span multiple systems and stakeholders. This complexity can make it difficult to access the right information at the right time. With its integrated data intelligence and analytics, TecsysIQ lets health systems bring together data from across EHRs, ERPs, inventory systems, procurement platforms and trusted third-party sources into one governed environment for better forecasting, planning and response.
“Healthcare supply chains have long struggled with data trapped in silos and outdated systems,” said Rex Ahlstrom, chief strategy officer at Tecsys.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 supports federated lakehouse architectures for discovery, querying and governance of distributed data, as well as simplified sharing for use in external data and business intelligence reporting platforms. With Delta Sharing (www.databricks.com/product/delta-sharing), TecsysIQ can share live data across platforms, clouds and regions with strong security and governance. Leveraging AWS Bedrock (aws.amazon.com/bedrock), TecsysIQ provides secure access to foundational large language models for generative AI use cases within a governed architecture.
With embedded machine learning and predictive intelligence, TecsysIQ helps healthcare organisations:
- Improve clinical service levels by anticipating demand shifts and material constraints;
- Automate data harmonisation across siloed systems and departments;
- Incorporate trusted third-party data inputs to enhance forecasting and planning;
- Accelerate response time to disruptions, recalls and public health events;
- Reduce reliance on manual workarounds and spreadsheets; and
- Optimise resource use while maintaining compliance and patient safety.
“Healthcare supply chains generate massive amounts of data, but turning those data into true data intelligence requires the right architecture,” said Mike Sanky, vice president at Databricks. “Traditional reporting methods can’t keep up with the complexity and speed required by today’s healthcare supply chains. By partnering with Tecsys, we’re empowering health systems to harness the full potential of their data through a unified analytics and AI platform. This enables smarter, faster decision-making, precisely when it matters most to deliver exceptional performance.”
Peter Brereton, CEO of Tecsys, added: “TecsysIQ reflects our vision for the future of healthcare supply chain decision-making. It’s not just about reporting on what happened, it’s about delivering the operational intelligence needed to act with precision in the moment.”
Tecsys is working with a number of healthcare providers to provide early access to TecsysIQ (insights.tecsys.com/product/tecsysiq) with general availability planned for later this year.
Tecsys (www.tecsys.com) provides critical data insights and control across the supply chain, ensuring organisations are agile, responsive and scalable. The company is publicly traded on the Toronto Stock Exchange.








