Live

Analytics

The Dashboard That Runs Every OR Governance Meeting

Give leadership teams live visibility into utilization, performance drift, revenue recovery, and benchmark position.

Analytics workspace

Module Overview

ORS AI analytics is designed to turn operational data into decision-ready governance language across OT teams, finance, and hospital leadership.

Every module is designed to operate as a calm operational layer on top of the systems your hospital already uses.

  • βœ“Real-time utilization and block quality
  • βœ“Surgeon performance and duration drift
  • βœ“Revenue per OR per day
  • βœ“Custom report builder with PDF and Excel export

Best fit

Ideal when your OR teams want faster, better-informed decisions without adding coordination overhead.

Go-live shape

3 weeks to unify sources, validate KPI definitions, and calibrate benchmark views with the client team.

Capability Detail

How Analytics behaves in the day-to-day

The primary capabilities handle the operating heartbeat. Supporting capabilities make the system feel reliable in messy real hospital conditions.

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Utilization intelligence

See recovered capacity, idle time, and bottlenecks in one view.

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Surgeon performance reports

Review duration drift, adherence, and start-time patterns by surgeon.

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Financial operating view

Connect OR behavior to revenue, leakage, and recovery outcomes.

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Custom reporting

Build executive and team-specific reporting packs without manual work.

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Peer benchmarks

Compare sites and specialties against the ORS AI network dataset.

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Export-ready packs

Send the same truth into Excel, PDF, and leadership review cadences.

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Root-cause analysis

Tie lost minutes and poor starts back to the real causes.

Impact Snapshot

What shifts when Analytics is live

Hospitals buy operational confidence first. The numerical improvement follows.

Tracked KPIs

Before

5

After

20+

Benchmark review time

Before

2 days

After

20 minutes

Revenue leakage visibility

Before

Low

After

High

Leadership reporting cadence

Before

Monthly lag

After

Weekly live

Integration

What ORS AI needs to connect

We keep integrations pragmatic: connect the minimum useful truth first, validate with real hospital teams, then deepen the surface once the operating model is trusted.

Data inputs

  • βœ“Schedule, completion, cancellation, and case-duration events
  • βœ“Billing and implant cost context
  • βœ“Hospital/site hierarchy for benchmarking

Connection methods

  • βœ“Read-only integrations into HMIS, billing, and operational event streams
  • βœ“Scheduled exports where direct APIs are unavailable
  • βœ“Executive dashboards rolled out after initial validation

Deployment note

3 weeks to unify sources, validate KPI definitions, and calibrate benchmark views with the client team.

Recommended pairing

Combine this module with the adjacent ORS AI modules below for the strongest operational lift.

See Analytics in a live OR workflow

We’ll walk through the module using a hospital-shaped dataset and show exactly where it changes daily operating decisions.

Book a free OR audit