Physician-led payment integrity and claims audit services for health payers
MedReview audits medical claims for payers, pairing clinician review with ML models on an Azure-centric data stack (Databricks, Synapse, Fabric, Azure Machine Learning) plus Kafka and ClickHouse for high-volume claims data. Hiring leans toward clinical and operations roles rather than engineering, and job posts center on DRG validation and diagnosis-code accuracy, which shows that growth depends on reviewer capacity as much as on automation.
MedReview Inc. is a privately held payment integrity company headquartered in New York, founded in 1974. It serves healthcare payers with pre- and post-payment billing audits, where physicians review and document the claims it flags. Its service lines include DRG validation, hospital bill audits, readmission reviews, utilization management, prior authorization and quality reviews such as HEDIS/QARR. The company has 201–500 employees and hires in the United States.
MedReview runs largely on Azure, using Databricks, Synapse, Fabric, Data Factory and Azure Machine Learning. It also uses Python, TensorFlow, PyTorch, Kafka, ClickHouse, SQL Server, Tableau, Power BI and NetSuite.
MedReview offers payment integrity services to health payers, including DRG validation, hospital bill audits, readmission reviews, utilization management, prior authorizations and HEDIS/QARR quality reviews.
Yes, and hiring is accelerating. Open roles are mostly in healthcare and operations, with some data and support positions, all based in the United States.
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MedReview Inc.'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.