May 6 · 4 min read · 3 months. That's how long I spent diving into the labyrinth of drug interactions, trying to build a system that truly understood them. In contrast, most medical schools cover the entire topic in a week or two. This isn't a criticism of medical educat...
Join discussionApr 28 · 4 min read · I'll admit something. When I first started GoDavaii in 2025, I thought building a health AI was primarily a technical problem. Build the models, get the data, solve the hard science. I completely missed the human problem - the language barrier - at s...
Join discussionApr 28 · 4 min read · Day 9 of 30. It's a sprint, not a marathon, but sometimes a small detail grounds you in the bigger mission. For me, it's often a particular product behavior. Imagine someone in Chennai types 'எனக்கு காய்ச்சல்' into a health chat. Or even simpler, jus...
Join discussionApr 16 · 7 min read · OMOP Solved the Language Problem. QIS Solves the Learning Problem. In 2010, the Observational Health Data Sciences and Informatics (OHDSI) collaborative faced a problem that looked unsolvable. Hundreds of hospitals, insurers, and research institution...
Join discussionApr 14 · 3 min read · I. The Core Thesis (The Apex) To protect sensitive patient data in 2026, web-based dental management systems must shift from reactive security to proactive resilience. By integrating Zero Trust, Decen
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Apr 13 · 7 min read · OHDSI Has 300+ Sites. Why Can't They Learn From Each Other at Scale? OHDSI — the Observational Health Data Sciences and Informatics network — is one of the most ambitious collaborative science projects in history. Over 300 data partner sites. 2.4 bil...
Join discussionApr 11 · 8 min read · If you've stood up an OHDSI node, you know what the infrastructure looks like: PostgreSQL or SQL Server running the OMOP CDM schema, WebAPI for cohort definition, Atlas for study design, Achilles for characterization. The data model is excellent. The...
Join discussionApr 11 · 8 min read · If you've stood up an OHDSI node, you know what the infrastructure looks like: PostgreSQL or SQL Server running the OMOP CDM schema, WebAPI for cohort definition, Atlas for study design, Achilles for characterization. The data model is excellent. The...
Join discussionApr 10 · 6 min read · When Matei Zaharia received the ACM Prize in Computing for Apache Spark, the citation pointed to something specific: he solved the distribution problem for data processing. Move the computation to the data. Tolerate failures. Scale horizontally. The ...
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