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BUDDI AI’s Coding.AI 2023
Enhancing Revenue Cycle Performance through AI-Driven, Autonomous Coding
Author
Mac Boyter
Author
Taelin Bryan
Staffing shortages and budgetary pressures are increasing provider adoption of autonomous coding solutions. To address these issues, BUDDI AI aims to improve revenue cycle performance and address healthcare concerns by ensuring coding quality compliance, which increases operational efficiency. This is done by combining a specialty-specific rules engine with the active learning capabilities of AI models, a flexible approach to file formats, and the ability to assign codes for CPT, MIPS, ICD-10, and modifier. This report offers a first look at both provider and vendor experiences with BUDDI AI’s Coding.AI.
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Key Findings:
- BUDDI AI’s Coding.AI Customer Experience: An Initial Look
- Points to Ponder
- BUDDI AI: Company Profile at a Glance
- Solution Technical Specifications (provided by BUDDI AI)
Project Manager
Kyle Chilton
This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2024 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.