How does AI-powered healthcare matching work?

OpenMyPro's matching system uses three layers: hard filtering (location, specialty, availability), relevance scoring (composite score across dozens of factors), and personalization (adjusted based on patient history and preferences). The system processes queries in under 100ms and continuously improves from booking outcome data.

Why is AI matching better than keyword search for healthcare?

Keyword search ranks by SEO and reviews, ignoring crucial factors like specialty depth, treatment approach, pricing compatibility, and availability. AI matching considers dozens of signals simultaneously, producing matches that align with the patient's specific needs rather than generic popularity.

How does OpenMyPro avoid bias in its AI matching algorithm?

OpenMyPro runs regular demographic audits on matching outcomes, monitors for disparities across provider and patient populations, and maintains transparency by showing patients why specific providers were recommended. The team adjusts algorithm weights when imbalances are detected.

Building AI-Powered Provider Matching for Healthcare: Architecture and Lessons

October 7, 2025·Pablo Diaz·Founder & CEO, Blossend Inc

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The core of OpenMyPro is not a directory or a booking system. It is an AI matching engine that connects patients with the right healthcare provider...

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Pablo Diaz

Founder & CEO, Blossend Inc

Ex-Amazon AWS engineer turned 2x founder. Built OpenMyPro healthcare marketplace serving independent founders. CEO of Blossend Inc. Building the future of healthcare discovery.

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Building AI-Powered Provider Matching for Healthcare: Architecture and Lessons

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