While other tools focus on billing and documentation, Vigilantum AI analyzes intraoperative records to identify deviations from the standard of care — the core of malpractice claims and institutional liability.
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The Problem: Manual Review at Scale
Anesthesia generates the richest data in healthcare — minute-by-minute vitals, medications, and interventions. Yet critical analysis remains manual, expensive, and inconsistent.
$3,000–$4,000+ per case
for anesthesiologist expert review
6-8 hours per case
of manual record analysis
Inconsistent findings
across different expert reviewers
<1% of cases reviewed
despite constant liability exposure
High-salary providers
assigned to inconsistent audits
Reactive risk management
only after incidents occur
The Solution: AI-Powered Risk Detection
Vigilantum AI replicates expert-level review, surfacing critical intraoperative issues that drive litigation and institutional exposure.
Clinical Issues
- • Delayed intubation
- • Missed hypotension
- • Inappropriate drug dosing
- • Inadequate monitoring
Pattern Recognition
- • Deviation detection
- • Timeline analysis
- • Context awareness
- • Risk stratification
Actionable Insights
- • Prioritized findings
- • Evidence compilation
- • Risk scoring
- • Expert-level reports
Our Unique Approach
We understand this is a risk detection problem, not a documentation one. No one is applying AI at this level of granularity to surgical records for legal and compliance use.
Beyond Documentation Tools
While other platforms track checkboxes and billing accuracy, we analyze the actual clinical decisions and interventions that matter for risk assessment.
Granular Analysis
We process minute-by-minute data streams — vitals, medications, responses, and interventions — to identify patterns that human reviewers might miss or take hours to find.
Expert-Level Standards
Our AI replicates the same analytical process that experienced anesthesiologists use, identifying the same red flags that drive litigation and quality concerns.
Building the Future
As adoption grows, Vigilantum AI becomes the first structured dataset of intraoperative deviations at scale, making us the foundation for future surgical risk benchmarking.
Multiplying Expertise
We're not replacing medical expertise — we're multiplying it. Every case analyzed adds to our understanding of surgical risk patterns.
- Scale expert review to every case
- Consistent, objective analysis
- Continuous learning from outcomes
Market Leadership
By solving the hardest problem first — intraoperative risk detection — we establish the foundation for comprehensive surgical intelligence.
- First-mover advantage in surgical AI
- Unique dataset of risk patterns
- Platform for future benchmarking
Ready to Transform Risk Detection?
Join the hospitals and legal teams already using Vigilantum AI to identify critical issues that matter for patient safety and liability.