Clinical AI platform for hospital revenue cycle and care quality
SmarterDx applies physician-founded clinical AI to hospital patient records, surfacing missed documentation and denial opportunities. The stack—Python, PyTorch, TensorFlow, dbt, Snowflake, plus tight Epic/Cerner/Meditech integrations—reflects a healthcare-data-first engineering culture. Hiring is accelerating across data, engineering, and product, with senior roles dominating; the active project list (model development, revenue cycle management platform, rapid experimentation cycles) and pain points (data reliability at scale, analytics warehouse migration) signal a team scaling ML ops and customer-facing infrastructure simultaneously.
Notable leadership hires: Implementation Lead
SmarterDx builds a clinical AI platform for hospitals to maximize revenue recovery and care quality documentation. Founded in 2020 by physicians, the product analyzes complete patient records to identify undercoding and denial opportunities, enabling hospitals to recover earned revenue and improve quality metrics. The company operates in the 201–500-employee range, headquartered in New York. Core integrations span Epic Systems, Cerner, and Meditech—the dominant hospital EHR systems—plus data-warehouse and analytics infrastructure (Snowflake, dbt, Elasticsearch). Customers are primarily mid- to large-market hospital systems managing complex billing and compliance workflows.
Python, PyTorch, TensorFlow, AWS/GCP/Azure, SQL, dbt, Snowflake, PostgreSQL, Kubernetes, React, Next.js, Elasticsearch, Apache Airflow, and HL7 v2. Also integrates Epic Systems, Cerner, and Meditech EHRs.
Model development and deployment, revenue cycle management platform, shared modeling infrastructure, customer onboarding, analytics warehouse migration, and automated data extraction for customer success domains.
Other companies in the same industry, closest in size