Healthcare software and clinical intelligence for care delivery and safety
Hearst Health operates a portfolio of clinical decision-support, homecare, and care-coordination software across six brands. The tech stack reveals an infrastructure modernization effort in progress: active migration to cloud-native architecture (EKS, ECS, Terraform), adoption of FHIR standards, and deployment of an AI control tower atop LLM frameworks (LangChain, Claude, Azure OpenAI). Leadership hiring (Chief People Officer, Technology Director) and an accelerating 41-role pipeline anchored by senior engineers signal a scaling phase alongside compliance tightening—SOC 2 Type II and HIPAA remain active operational priorities.
Notable leadership hires: Chief People Officer, Technology Director
Hearst Health is a portfolio company operating six healthcare-focused software brands: FDB (medication decision support), Homecare Homebase (homecare and hospice software), MCG (care guidance and medical necessity), MHK (clinical content), QGenda (care coordination and transitions), and Zynx Health (evidence-based clinical decision support). The business serves hospital systems, health plans, and homecare agencies with clinical intelligence, care-coordination platforms, and HIPAA-compliant communications infrastructure. The organization has maintained operations for over 40 years and now spans 1,001–5,000 employees across the United States, with headquarters in New York, NY.
Python, Java, Docker, Terraform, AWS (ECS, EKS), Jenkins, GitLab CI/CD, GitHub, Azure DevOps, LangChain, Claude, Azure OpenAI, ChatGPT, Salesforce, ServiceNow, and Snowflake/Databricks for analytics.
Yes. Active adoption includes Oracle EPM and FHIR standards. AI control tower deployment and modernization to cloud-native EHR architecture are underway; LLM integrations (Claude, Azure OpenAI) are in production use.
Cloud-native EHR modernization, Snowflake/Databricks data-warehouse migration, near real-time analytics enablement, SOC 2 Type II and HIPAA compliance, AI governance frameworks, and containerized secure deployment patterns.
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