AI-native perioperative decision support

OR data, turned into an action plan.

See where perioperative flow is becoming unreliable, which assumptions deserve review, and who should own the next step—from one facility to the health system.

Full perioperative journeyFairer comparisonsEvidence-backed action
Fully synthetic command view

Cases analyzed

1,3282024-01-03 to 2024-07-01

Booking profiles ready

30 pairsProcedure-specific planning guidance

Estimated payment

$1,181,725802 cases with payment data

Possible capacity

125 hrsAbout 159 possible added cases per year

Scheduling priority

30 surgeon × CPT booking profiles are ready for leadership review.Start with dependable, high-volume procedure history.

How it works

Keep the report your team already knows. ORbit handles the path from structure to action.

From messy export to perioperative decision support.

1Upload2Map3Validate4Compare5Act
UploadExport, template, or schedule
MapYour columns remembered
ValidateSchema, privacy, and quality
CompareSimilar work, fair context
ActAction, owner, and measure

The complete perioperative picture

Follow the patient journey. Find the operational decision.

ORbit connects the phases leaders usually review separately, while keeping every conclusion tied to the underlying evidence.

Perioperative journey

Arrival + pre-op

See where readiness begins to drift.

Arrival
Pre-op
OR
PACU
Discharge
Decision lensArrival → room

Compare pre-op time by procedure, ASA class, role, and facility—then validate the workflow behind the pattern.

Suggested ownerPre-op leader
01

Arrival + pre-op

See where readiness begins to drift.

Compare pre-op time by procedure, ASA class, role, and facility—then validate the workflow behind the pattern.

02

Operating room

Plan cases from dependable history.

Replace broad averages with facility, surgeon, and CPT history that reflects the planning confidence each site chooses.

03

PACU + discharge

Follow recovery—not just room exit.

Study PACU time across comparable procedures, surgeons, anesthesia providers, and regional-anesthesia context.

04

Whole journey

Connect time, labor, capacity, and economics.

Turn an isolated timing signal into a measurable improvement plan with an owner, review window, and success measure.

From information to action

See the decisions ORbit is built to support.

Each workflow begins with a practical leadership question and ends with a next step—not another unexplained chart.

01 · Scheduling

Which booking assumption should change first?

Compare current defaults with procedure-specific history, then start with a supported, high-volume cohort.

Owner: OR director + scheduling lead
Booking guidanceBased on case history
Current default60 min
Supported plan80 min

Review exceptions before changing the facility default.

02 · Teams

Which pairings are worth learning from?

Compare teams only within similar facility, surgeon, CPT, and ASA contexts—then investigate workflow, not individuals.

Owner: OR manager + anesthesia lead
Comparable workCase-mix aware
Same facilitySame CPTSame ASA
Pairing APractice worth studying
Pairing BReview workflow
03 · Schedule Lens AI

How should tomorrow's schedule be reviewed?

Capture or enter the cases, verify every field, and let ORbit identify sequencing, staffing, turnover, and PACU pressure.

Human verification remains the gate
Daily schedule
CaptureVerifyPlan
3 schedule pressures ready to review

One facility—or the whole system

Give every leader the right altitude.

Local teams can work on tomorrow's flow while regional leaders see where performance is changing, which comparisons are fair, and what one facility may be able to teach another.

OR directorsScheduling + flowAnesthesia leadersTeams + recoveryCFO / COOCapacity + economicsRegional leadersFacility comparison
Facility comparison
Community ORFocus: first starts
Regional ASCImproving
Practice worth studyingReview the ASC's repeatable morning-start workflow.

Comparable procedure mix and sufficient evidence required.

Operational change, financial context

Test whether an improvement plan is worth pursuing.

Scenario Lab keeps capacity, labor sensitivity, and payment context separate. It is planning math—not a forecast or guaranteed savings.

Example capture rate25%

Conservative share of an identified 500-hour synthetic opportunity.

Planning hours125

Gross opportunity × capture rate

Possible case equivalents160

Using 47 minutes per example case

Leadership decisionTest one cohort

Validate before broader adoption

Designed to earn trust

AI explains the evidence. It does not replace it.

ORbit separates structured calculations from generated interpretation, then shows leaders how much support sits behind a finding.

01

Verified metrics first

Counts, percentiles, comparisons, and financial context are calculated before AI writes the explanation.

02

Fairer comparisons

Provider and team signals account for comparable procedures, surgeons, ASA class, and facility context.

03

Visible evidence

Sample support, methodology, limitations, owners, and success measures remain attached to the recommendation.

04

Scoped access

Organization and facility permissions determine which data and AI evidence each authorized user may access.

Grounded by design

If the evidence cannot support an answer, ORbit should say so instead of manufacturing a number or conclusion.

Built for the real questions leaders ask

The current public preview uses a fully synthetic statistical twin. No actual or de-identified patient or facility case data belongs in this POC environment.

See ORbit with your leadership team

Bring one perioperative question. Leave with a clearer path to action.

Walk through scheduling, teams, patient flow, facility comparison, economics, and Schedule Lens AI using the fully synthetic product demonstration.