Drug knowledge platform powering clinical decision support across healthcare systems
FDB operates a drug and medical device knowledge database embedded across hospital, pharmacy, and payer systems—reaching millions of clinicians daily. The tech stack is almost entirely Azure (Functions, Cosmos DB, SQL Database, Data Factory, Logic Apps) with C# and AI-assisted development (ChatGPT, Claude, GitHub Copilot), signaling a cloud-native modernization underway. Active projects around AI agents and cloud infrastructure automation, paired with pain points in cloud migration and AI-enabled development, suggest FDB is shifting from legacy knowledge management toward intelligent decision-support automation.
FDB (First Databank) manufactures the drug and medical device knowledge layer for healthcare IT systems, from clinical decision-support tools to ePrescribing networks. The product sits inside EHRs, pharmacy management systems, and payer platforms, and is used by hospitals, physician practices, pharmacies, and payers. Founded in 1978, the company has scaled its database to serve the majority of U.S. healthcare delivery. The team of 201–500 focuses on medication safety, dosing decision support, drug pricing analysis, and clinical CDS—with emerging capability in AI-assisted content authoring and engineering.
FDB's core infrastructure runs on Microsoft Azure (Functions, Cosmos DB, SQL Database, Data Factory, Logic Apps, Key Vault) with C# development. They use Salesforce for CRM, Adobe for content, and have adopted ChatGPT and Claude for AI-assisted engineering.
FDB is focused on cloud-native application development, AI agent design and deployment, AI-assisted engineering practices, and cloud infrastructure automation. They are also improving clinical content authoring, process optimization, and talent acquisition capabilities.
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