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Forcura IQ 2025
Streamlined Referral Management with AI Document Solutions
Author
Paul Hess
Author
Drew Partridge
When managing referrals, healthcare organizations often face process inefficiencies (e.g., duplicate data entry), data inaccuracies, and challenges integrating with other EHRs—this delays admissions and increases administrative burdens. Forcura IQ addresses these issues by automating referral processing, providing AI-driven summaries, and seamlessly integrating with EHRs to streamline workflows and enhance data accuracy. This report examines current customer experiences with Forcura IQ, evaluating its impact on referral management and operational efficiency.
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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.