How Medlitix Achieves 90% Faster Clinical Review with UiPath AI Summarization
Medlitix implemented UiPath medical record summarization with DeepRAG, cutting clinical review from 70 minutes to 6 minutes per case (90% faster) with 95% accuracy and $1.2M savings.
Impact
90% (70min to 6min)
Review Time Reduction
95%
AI Summary Accuracy
$1.2M (avoided 5 hires)
Cost Savings
Challenge
Clinicians spent 70 minutes per case on manual record review. Could not scale to hundreds of daily summaries across specialties.
Solution
UiPath Platform with DeepRAG framework for automated document ingestion, analysis, and structured clinical summary generation with 95% accuracy.
Tools & Technologies
What Leaders Say
“Since implementing UiPath, we have reduced average summary review time from 70 minutes to six — a 90% improvement.”
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Full Story
Manual medical record analysis was becoming impossible to scale. Clinicians spent approximately 70 minutes per case reviewing large volumes of patient documentation and extracting key clinical information, making it challenging to handle hundreds of summaries per day across multiple specialties.
Medlitix implemented medical record summarization on UiPath Platform using long-context language models combined with the DeepRAG framework. The solution automates document ingestion, analysis, and structured summary creation for clinician review and validation.
Clinical review time dropped 90% — from 70 minutes to 6 minutes per case. AI-generated summaries achieve 95% accuracy. The company saved an estimated $1.2M by avoiding five additional clinical hires.
AWS