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Aidéo Technologies Autonomous Coding
Emerging Technology Spotlight 2022
Author
Mac Boyter
Author
Braden Taylor
Autonomous coding solutions aim to help healthcare organizations mitigate staffing concerns in a competitive market, increase efficiency, and reduce overhead. Aidéo Technologies’ solution uses machine learning and natural language processing to autonomously code encounters, while streamlined workflows in a coding portal enable manual coders to process encounters that could not be autonomously coded. This report examines customers’ experiences and satisfaction with the Aidéo Technologies solution.
Key Findings:
- Aidéo Technologies Autonomous Coding Customer Experience: An Initial Look
- KLAS’ Points to Ponder
- Aidéo Technologies: Company Profile at a Glance
- Solution Technical Specifications (provided by Aidéo Technologies)
Designer
Breanne Hunter
Project Manager
Robert Ellis
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. © 2025 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.