Brought to you by the people that make workflowlabs .
AI record review is table stakes now. Every platform can summarize thousands of pages in minutes with impressive accuracy rates. But what happens after the summary? That's where the real work begins – and where current AI stops helping.
Medical evaluators still manually search through summaries, cross-reference medical histories, and piece together timelines for comprehensive evaluations. Whether you're conducting QMEs, IMEs, or peer reviews, you've gained speed in document processing but lost momentum in everything that follows.
What if your record review could think, respond, and integrate with your complete process?
Current AI record review has solved the accuracy problem. Processing thousands of pages with 97%+ accuracy is now standard across platforms. The question isn't whether AI can review records accurately – it's whether AI can understand them comprehensively.
We're leveraging cutting-edge language models from industry leaders specifically trained for medical-legal analysis:
The result? Record reviews that don't just summarize – they analyze, interpret, and prepare intelligent insights for your clinical judgment.
Traditional AI record review creates a document. Advanced AI creates a conversation partner.
Instead of searching through static summaries, imagine having a conversation with the medical history:
"Show me all failed treatments for chronic lower back pain" → Identifies 8 treatment attempts across 3 providers, summarizes effectiveness, notes patient compliance issues
"What patterns emerge in the patient's symptom reporting?" → Highlights inconsistencies in pain descriptions, correlates symptom escalation with legal milestones
"Find evidence of pre-existing conditions affecting current complaints" → Cross-references 15 years of medical history, identifies relevant prior injuries and treatments
"Analyze treatment gaps for this IME evaluation" → Identifies 6-month gap in care, correlates with insurance coverage changes, notes impact on treatment continuity
"Compare functional capacity with reported limitations for peer review" → Cross-references physical therapy notes, work restrictions, and daily activities reported in multiple sources
Your CoPilot transforms each case into a searchable, interactive knowledge base with:
The Result: Every question you'd normally spend 30 minutes researching gets answered in 30 seconds – with supporting evidence.
Basic AI creates chronological lists. Advanced AI creates intelligent timelines that understand medical significance.
Your intelligent timeline automatically cross-references information sources and identifies discrepancies:
Traditional Chronology:
07/2023 - Started psychological treatment
03/2024 - Diagnosed with hypertension
08/2024 - Began Lexapro for anxiety
Intelligent Timeline with Discrepancy Detection:
2024-07-30: Psychological treatment with Dr. Temple begins
↳ DISCREPANCY IDENTIFIED: Patient questionnaire reports July 2023 (1-year error)
↳ Verified by: Medical records and interview statements
↳ Clinical Significance: Critical timeline error affects causation analysis
2024-03-13: Hypertension diagnosis and Olmesartan initiation
↳ DISCREPANCY IDENTIFIED: Patient reported onset in late 2023
↳ Verified by: Dr. Murtagh medical records
↳ Clinical Significance: Impacts work-relatedness claims
2024-08-12: Lexapro prescribed for depression
↳ DISCREPANCY IDENTIFIED: Patient reported starting May 2024
↳ Verified by: Prescription records show 3-month reporting error
↳ Clinical Significance: Medication timeline affects treatment credibility
The system analyzes patterns across all information sources, identifies systematic inconsistencies, and provides the clinical context you need for your evaluation conclusions.
Advanced record reviews become the foundation for complete process automation. Each capability builds on the others, creating exponential efficiency gains.
Medical Evaluation Process:
1. Advanced Record Review
2. CoPilot Investigation
3. Intelligent Timeline Generation
4. Complete Workflow Integration
Learn more about our complete medical evaluation workflow automation including questionnaire processing, interview transcription, and end-to-end report generation.
Beyond individual cases, advanced processes enable:
"The detail is fantastic. Actually better than previously... At a deposition, I learned first hand how the previous service had over summarized everything while the attorneys for the employer had systematically read everything. The notes from the previous service had totally ignored some of the most critical information."
"These notes give the reader a clear idea of what happened, when it happened and the outcome, if any... Much better and much greater detail."
"Wow, this is amazing! I love it!"
The difference becomes clear when you're facing prepared opposing counsel who have done their homework. Surface-level summaries leave you exposed – comprehensive analysis keeps you ahead.
The Bottom Line: Advanced record reviews don't just make you faster – they make you better. Better analysis, better insights, better outcomes for the injured workers you evaluate.
Stop thinking about AI as a faster way to do the same work. Start thinking about AI as a smarter way to do better work.
Our advanced record review platform includes:
See the difference between basic AI and advanced intelligence.
Schedule a personalized demo to experience record reviews that think, respond, and integrate with your complete medical evaluation process.
Ready to transform your practice? Contact us to see how advanced AI can elevate your medical evaluations from document processing to intelligent decision support.