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Announcement Alyssa Ross · May 12

[Demo Video] ExplantIQ: Ask Your Compliance Data Anything

#North American Demo Showcase entry. 

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⏯️ ExplantIQ: Ask Your Compliance Data Anything

ExplantIQ is an intelligent data application that tackles one of healthcare's most overlooked financial and regulatory risks: the management of explanted medical device warranty credits. When an implanted device is removed from a patient (due to failure or recall) hospitals are legally required to pursue manufacturer credits, refund payers if the credit exceeds 50% of the device's cost, and report to CMS. Miss that obligation and you're facing a reverse False Claims Act violation. Industry data shows hospitals miss 81% of eligible credits. 

ExplantIQ, built entirely on InterSystems IRIS for Health and DeepSee, solves this by unifying clinical, supply chain, billing, and FDA recall data into a single real-time compliance dashboard, complete with KPI scorecards, trend analytics, and a Text-to-SQL AI Assistant that lets compliance officers query live operational data in plain English. No separate BI tool. No additional architecture. All questions can be answered without leaving your browser tab.

Special thanks to @Emil Polakiewicz and @Boris Mamkin for their contributions. 

🗣 Presenter: @Alyssa Ross, Sales Engineer at InterSystems

#IRIS contest #InterSystems IRIS for Health
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Article Alyssa Ross · Mar 9 6m read

Vector Search with Embedded Python in InterSystems IRIS

One objective of vectorization is to render unstructured text more machine-usable. Vector embeddings accomplish this by encoding the semantics of text as high-dimensional numeric vectors, which can be employed by advanced search algorithms (normally an approximate nearest neighbor algorithm like Hierarchical Navigable Small World). This not only improves our ability to interact with unstructured text programmatically but makes it searchable by context and by meaning beyond what is captured literally by keyword.

In this article I will walk through a simple vector search implementation that Kwabena Ayim-Aboagye and I fleshed out using embedded python in InterSystems IRIS for Health. I'll also dive a bit into how to use embedded python and dynamic SQL generally, and how to take advantage of vector search features offered natively through IRIS.

#InterSystems IRIS #Embedded Python #Tips & Tricks #Tutorial #Unstructured Data #Vector Search
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