In-home primary care platform combining clinician visits with virtual care coordination
Sprinter Health operates a full-stack mobile healthcare practice—in-home visits paired with virtual clinician support—positioned to re-engage patients in primary care. The tech stack reveals a data-intensive operation: BigQuery, Snowflake, Redshift, dbt, and Airflow form a mature analytics backbone, while LangChain and LlamaIndex signal early-stage AI integration. Active projects span booking optimization, cancellation-risk prediction, and an "AI-first product," suggesting the company is moving beyond logistics into predictive engagement and clinical automation.
Notable leadership hires: Clinical Director, Data Science Lead
Sprinter Health partners with healthcare organizations to deliver in-home primary care visits combined with virtual clinician coordination, targeting care gaps and preventive engagement. The company operates across the United States and Canada with 201–500 employees, of which roughly half work in clinical roles (physicians, nurses, care coordinators) and a meaningful engineering and data presence supports the booking, routing, and patient-engagement layers. Core infrastructure pain points center on scaling patient engagement, reducing no-shows and cancellations, and moving away from manual outbound phone scheduling—all addressable through better prediction and in-product flows.
Analytics and data pipeline: BigQuery, Snowflake, Redshift, dbt, Airflow, Dataform. Visualization: Looker, Tableau, Grafana, Superset. Backend: Python, Node.js, GraphQL, REST APIs. ML/AI: scikit-learn, LangChain, LlamaIndex. Operations: Zendesk, Five9, AWS.
Backend services for booking and clinician routing, cancellation-risk prediction, clinical workflow optimization, multi-channel patient engagement, in-product booking flows, and an AI-first product offering under development.
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