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MEASURES.AIBUDDI AI

MEASURES.AI automates MIPS reporting for medical specialties, leveraging deep learning to reduce administrative burden, improve claims accuracy, and maximize reimbursements for healthcare providers.

Vendor

Vendor

BUDDI AI

Company Website

Company Website

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Product details

MEASURES.AI is an advanced software solution designed to automate MIPS (Merit-based Incentive Payment System) reporting for qualified medical specialties. It leverages deep learning and machine learning engines to process clinical records, validating them against the four MIPS performance categories: quality, cost, improvement activities, and promoting interoperability. This automation significantly alleviates the administrative burden associated with MIPS compliance, taking the guesswork out of tracking an organization's performance against key quality measures. The platform provides providers and administrators with real-time insights into their composite scores, enabling them to identify and correct care gaps proactively. By simplifying the management of physician measures across an entire practice, physician group, or health system, MEASURES.AI helps improve efficiency, patient safety, and clinical outcomes. Furthermore, it proactively suggests optimal measures to report to the Centers for Medicare & Medicaid Services (CMS), empowering providers to maximize their reimbursements and ensure claims accuracy.

Features & Benefits

  • Automated MIPS Reporting
    • Leverages deep learning to automate MIPS measures for qualified medical specialties, simplifying management across practices and health systems. Provides real-time insights into composite scores, identifies care gaps, and enables direct reporting to CMS.
  • Performance Category Validation
    • Processes clinical records through a machine-learning engine to validate against the four MIPS performance categories: quality, cost, improvement activities, and promoting interoperability.
  • Reduced Administrative Burden
    • Automatically tracks an organization’s performance against key quality measures, eliminating guesswork and back-and-forth between physicians and administrators, improving efficiency, patient safety, and clinical outcomes.
  • Maximized Reimbursements
    • Proactively suggests the most optimal MIPS and QPP measures to report to CMS, along with corresponding HCPCS codes, to maximize financial reimbursements for providers.
  • PQRS Measures Validation
    • Processes coded clinical records through a contextual engine to validate against specific PQRS measures.
    • PQRS measures validated include: 21, 76, 130, 145, 146, 147, 195, 225, 226, 322, 323, 324, 234, 359, 361, 362, 364, 405, 406, 436, and 465.