Article

John Lynn, founder of Healthcare IT Today, interviews Gurpreet (GP) Singh, SVP, Interoperability Strategy & Solutions at ELLKAY. They discuss the critical need for healthcare organizations to view data as foundational infrastructure rather than an afterthought, and how this shift enables better innovation, reduced costs, and improved patient care.
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Takeaways

‍Data as Foundational Infrastructure: Singh emphasizes that data should be treated as core infrastructure, much like hardware or the cloud. By building a solid foundational layer for data access and aggregation from the start, healthcare organizations can avoid the costly and inefficient process of developing siloed data strategies for each new initiative.

The Intersection of AI and Interoperability: With the rise of AI in healthcare, Singh notes that holistic, high-quality data is more crucial than ever. He warns that without a complete and reliable data foundation, AI applications will not be successful.

Simplifying Vendor Ecosystems: ELLKAY has expanded beyond basic interoperability to become an enterprise data management partner. By providing a cohesive platform that handles everything from lab networks to data migration and archiving, they help organizations reduce complexity and rely on fewer vendors.

Driving ROI through Efficiency: A strong, centralized data infrastructure directly impacts financial performance. When organizations don't have to rebuild data acquisition and aggregation processes for every new project, they significantly improve their speed-to-market, achieve economies of scale, and achieve a much clearer return on investment.

The Future of Healthcare Data: Looking ahead, Singh hopes that in a few years, data interoperability will simply be a "no-brainer" rather than a luxury. The focus will ideally shift away from the technical hurdles of sharing data toward measuring its tangible impact on improving patient care, aiding provider decisions, and lowering healthcare costs.

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