FHIR-based platform unifying fragmented healthcare data and consumer experiences
b.well builds a FHIR-based data platform designed to consolidate healthcare records and enable care coordination across fragmented systems. The tech stack—Kafka, Spark, DuckDB, FastAPI, MongoDB, Python, and Prefect—reflects a data-engineering-heavy architecture optimized for real-time ingest and transformation at scale. Active projects around data foundations, real-time pipelines, clinical logic engines, and interoperability networks (Carequality, CommonWell, eHealth Exchange, TEFCA) signal a company moving beyond basic EHR integration toward predictive analytics and population health. Hiring has decelerated, with the team weighted toward senior and principal-level data and engineering roles—typical of a company scaling data infrastructure rather than headcount.
b.well Connected Health operates a platform that ingests, transforms, and unifies healthcare data across provider networks, payers, and consumer-facing applications. The platform is built on FHIR standards and integrates with existing healthcare IT systems to create longitudinal patient records and enable personalized care insights. The company works with healthcare organizations to reduce administrative burden, support population health workflows, and give consumers transparent access to their health journey. Based in Baltimore and founded in 2015, b.well serves mid-market and enterprise healthcare organizations across the United States.
b.well uses Kafka, Apache Spark, DuckDB, FastAPI, MongoDB, and Python for its core data pipeline, with Kubernetes for orchestration and FHIR as the interoperability standard. Prefect handles workflow scheduling.
Current projects include real-time data pipeline infrastructure, FHIR-based health record transformation, predictive risk stratification, clinical decision-logic engines, and integrations with national interoperability networks (Carequality, CommonWell, eHealth Exchange, TEFCA).
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