Clinical referral automation and intake processing for healthcare systems
Curtis King operates a small engineering team (4 roles, mostly senior) building intake and admissions automation for clinical referral workflows. The stack—.NET Core, C#, SQL Server paired with OpenAI and Azure AI services (Form Recognizer), plus web automation tools (Selenium, Playwright, Puppeteer)—reflects a focused mission: extracting and processing referral data from unstructured documents at scale while maintaining PHI compliance. Active hiring in Southeast Asia signals offshore development capacity to sustain velocity on three concurrent projects.
Curtis King is a 2–10 person company based in Sevierville, Tennessee, building automation software for healthcare intake and clinical admissions workflows. The company specializes in intake engine automation for referral processing and AI-driven workflow orchestration, with a current focus on smart admissions systems. They operate within strict healthcare data compliance constraints and sell to clinical systems and hospital networks. Engineering drives the product roadmap, with hiring concentrated in senior and manager-level roles across offshore development centers.
.NET Core, C#, SQL Server, React, Angular, Azure, AWS, GCP. AI capabilities via OpenAI and Azure OpenAI; document processing through Azure Form Recognizer and Tesseract OCR.
Three active projects: intake engine automation for clinical referrals, AI workflow development for clinical referrals, and smart admissions 3.0. All operate within PHI compliance requirements.
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