Behavioral health EHR with embedded AI and healthcare compliance automation
Streamline Healthcare builds SmartCare, an EHR platform for behavioral health organizations. The stack reveals a Microsoft-first infrastructure (SQL Server, Azure, .NET, ASP.NET) paired with aggressive AI adoption (OpenAI, Anthropic, RAG) — notably absent from their existing codebase. Active projects center on agentic AI, LLM fine-tuning, and state reporting compliance automation, suggesting the platform is shifting from traditional EHR toward AI-assisted workflows and regulatory reporting. Engineering-heavy hiring (7 of 11 open roles) with distributed seniority levels signals both core product development and the staffing overhead of modernizing a mature healthcare system.
Streamline Healthcare develops an EHR purpose-built for behavioral health providers. Founded in 2003 and based in Oak Brook, IL, the company operates across 201–500 employees, primarily in the United States and India. SmartCare is positioned as a whole-person care platform designed to reduce administrative friction while enabling clinical customization. The product integrates standard healthcare data formats (HL7, FHIR, X12 EDI) and relies on SQL Server and Azure for data infrastructure. Current development priorities include state compliance reporting, healthcare data ETL, and emerging AI capabilities to automate clinical workflows.
Core stack: SQL Server, Azure, .NET, ASP.NET, C#, JavaScript, Angular. Data integration via SQL Server Integration Services, Azure Data Factory, HL7, FHIR, X12 EDI. Recently adopted: OpenAI, Anthropic, RAG frameworks for LLM and AI capabilities.
Current priorities: agentic AI within SmartCare, LLM fine-tuning and MLOps pipelines, state reporting compliance automation, platform modernization, and ETL solutions for healthcare data movement and RAG over clinical/claims/EHR text.
Streamline Healthcare Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.