Virtual health platform for clinic expansion and patient engagement
Flagler Health operates a virtual health platform enabling clinics to expand service offerings and optimize patient workflows. The stack spans full-stack JavaScript (Vue, React, Next.js, Node.js, Express) with healthcare-grade infrastructure (HL7, FHIR, Twilio, Zoom) and heavy orchestration tooling (Temporal, Cadence, AWS Step Functions, Conductor) — a pattern suggesting investment in fault-tolerant, asynchronous workflows at scale. Active projects around claims denial minimization, prior authorization automation, and real-time communication platforms, paired with acute pain around scaling to 1M patients and building reliable data foundations, point to a company managing complex healthcare operations (claims, triage, patient engagement) while growing.
Notable leadership hires: Head of Marketing
Flagler Health provides a virtual health platform designed to help clinics expand clinical capabilities and streamline patient engagement and data management. The company serves healthcare organizations ranging from individual practices to nascent health systems, supporting core workflows around patient triage, enrollment in care programs (CCM, RTM), and administrative operations like prior authorization and claims management. Founded in 2023 and headquartered in New York, the company operates with a lean team concentrated in healthcare operations and engineering roles, with active hiring velocity across both departments and a growing sales organization.
Frontend: Vue, React, Next.js. Backend: Node.js, Express, Python. Data: MongoDB, Databricks, Apache Spark. Healthcare: HL7, FHIR, Twilio, Zoom. Orchestration: Temporal, Cadence, AWS Step Functions, Conductor. Cloud: AWS, Azure, GCP.
Core projects include scaling RTM and CCM program enrollment, building real-time audio/SMS communication, automating prior authorization, minimizing claim denials, and establishing a reliable analytics and data infrastructure foundation.
Flagler Health'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.