Preparing Clinical Labs for AI and Interconnected Health Care

Uncovering the full potential of digital medicine and AI implementation requires an interconnected data infrastructure with accurate, readily available, and contextualized data. Digital health depends on interoperability—the ability to electronically share health-related data between two or more organizations. In many cases, rather than sophisticated analytics or complex AI algorithms, simply making the right information available to the right person at the right time can significantly improve patient care.

This article provides actionable tips on how to make the necessary technical, content, and organizational changes to successfully implement AI and interoperability in your clinical laboratory.