Detect high-value item activity
Identify relevant item appearances and usage signals that may affect revenue integrity.
Recover margin hidden inside every case.
nSight helps hospitals identify missed charges, reduce supply waste, optimize trays, and improve preference cards using objective case-level data.
Using multi-angle OR capture and computer vision, nSight creates evidence around what actually happened during each case: which items appeared, which supplies were opened, where charge capture may have failed, and where trays or preference cards can be improved.
Platform demo
Hospitals cannot fix margin leakagethey cannot see.
Cost leakage happens inside routine cases: missed billings, incorrect quantities, item substitutions, opened-but-unused supplies, underused trays, and preference cards that drift away from actual practice. Existing systems often rely on manual documentation, barcode workflows, billing records, or retrospective review — none of which fully capture what happened in the room.
→ nSight helps health systems achieve double the financial impact typically gained from throughput increases alone. By meticulously tracking supply usage, streamlining OR tray counts, and eliminating persistent, case-by-case waste, we deliver a significant boost to both operational efficiency and cost containment.
Track the signals that protect margin.
nSight measures item, tray, and workflow patterns that help hospitals understand where cost is created, lost, or avoidable.
Charge capture gaps
Identify missed charges, quantity mismatches, or incorrect substitutions
Item usage patterns
Compare item activity across procedures, surgeons, service lines, rooms, and teams to identify standardization and savings opportunities.
Opened-but-unused supplies
Surface waste patterns where supplies are opened but not used during the case.
Tray utilization
Identify trays, instruments, or tray components that are underused or consistently unnecessary, supporting tray rationalization and SPD cost reduction.
Preference-card opportunities
Find items that should be removed, added, standardized, or reviewed based on actual usage patterns.
Case-level cost outliers
Find procedures, surgeons, rooms, or workflows with unusual supply, tray, or charge patterns.
Find missed revenue before it stays missed.
nSight creates objective case-level evidence around high-value items, quantities, and charge capture events.
Charge capture errors can occur when items are missed, quantities are entered incorrectly, substitutions are not reflected, or high-value supplies are used without the right supporting documentation. nSight acts as a passive observer of the case, using computer vision to identify relevant item activity and support reconciliation against the case record.
Support reconciliation
Compare observed item activity against charge records, expected items, or customer-defined review workflows.
Improve over time
Use reviewed cases to strengthen the customer-specific item catalog and improve site-specific coverage.
Turn cost visibility into targeted recommendations.
nSight helps teams move from “what happened?” to “what needs to change?” and finally “did that work or what else is needed?”
nSight does more than surface item-level data. The platform analyzes usage patterns, outliers, and variation to identify specific optimization opportunities across charge capture, tray rationalization, supply waste, and preference-card management.
Recover missed revenue
Recommend charge capture review when observed high-value item activity does not align with the case record.
Reduce avoidable waste
Identify supplies that are repeatedly opened but unused and recommend workflow or preference-card changes.
Optimize trays and preference cards
Recommend tray reductions, preference-card updates, and standardization opportunities based on actual case-level usage.
Find the margin your cases are already generating.
We’ll show where margin is leaking inside routine cases, and how nSight helps your teams recover it.