Cases analyzed
1,3282024-01-03 to 2024-07-01AI-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.
Booking profiles ready
30 pairsProcedure-specific planning guidanceEstimated payment
$1,181,725802 cases with payment dataPossible capacity
125 hrsAbout 159 possible added cases per yearScheduling 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.
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.
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.
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.
Operating room
Plan cases from dependable history.
Replace broad averages with facility, surgeon, and CPT history that reflects the planning confidence each site chooses.
PACU + discharge
Follow recovery—not just room exit.
Study PACU time across comparable procedures, surgeons, anesthesia providers, and regional-anesthesia context.
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.
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 leadReview exceptions before changing the facility default.
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 leadHow 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 gateOne 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.
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.
Conservative share of an identified 500-hour synthetic opportunity.
Gross opportunity × capture rate
Using 47 minutes per example case
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.
Verified metrics first
Counts, percentiles, comparisons, and financial context are calculated before AI writes the explanation.
Fairer comparisons
Provider and team signals account for comparable procedures, surgeons, ASA class, and facility context.
Visible evidence
Sample support, methodology, limitations, owners, and success measures remain attached to the recommendation.
Scoped access
Organization and facility permissions determine which data and AI evidence each authorized user may access.
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.