Global Guard AI

1 Introduction

In environments that use InterSystems IRIS, globals are the physical foundation of data storage. Although system queries and administrative tools exist for metric inspection, global growth analysis is usually reactive: the problem is generally only noticed when there is disk pressure or performance impact.

Global Guard AI was developed to create a snapshot-oriented observability layer, aligned with the idea published in DPI-I-512 — and based on the series of articles written by Ariel Glikman, Sales Engineer at InterSystems:

• Part 1 – Data Collection
• httPart 2 –

In the modern healthcare landscape, finding clinically similar patients often feels like looking for a needle in a haystack. Traditional keyword searches often fail because medical language is highly nuanced; a search for "Heart Failure" might miss a record containing "Congestive Cardiac Failure."

I am excited to share iris-medmatch, an AI-powered patient matching engine built on InterSystems IRIS for Health. By leveraging Vector Search, this tool understands clinical intent rather than just matching literal strings.
## The Core Innovation: Semantic Clinical Search

`iris-medmatch` bridges the