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Tennr 2025
Converting More Patients and Reducing Denials Through Intelligent Automation
Author
Paul Hess
Author
Drew Partridge
Healthcare organizations face significant challenges with manual referral processing and data entry, resulting in fewer patient conversions, high denial rates, and high labor costs. Tennr aims to address these issues through intelligent automation. This report analyzes customer experiences with Tennr’s solution, demonstrating its effectiveness in improving efficiency and reducing operational costs within the healthcare industry, particularly in ambulatory settings.
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Key Findings:
- Tennr Customer Experience: An Initial Look
- Points to Ponder
- Tennr: Company at a Glance
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. © 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.