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InsightRX 2025
Reducing Medication Dosing Errors & Adverse Events via Clinical Decision Support
Author
Jackson Tate
Author
Drew Partridge
Healthcare organizations face persistent challenges with safely, efficiently, and accurately dosing complex medications, and the risks of adverse events caused by human error can be catastrophic for a patient. These risks are compounded by resource-intensive workflows and poor interoperability. InsightRX aims to address these issues through machine learning–powered individualized dosing, advanced analytics, seamless EHR integration, and user-focused support. This report examines current customers’ experience with InsightRX.
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Key Findings:
- InsightRX Customer Experience: An Initial Look
- Points to Ponder
- InsightRX: Company Profile 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.