The operating room generates the data. Almost none of it gets measured.
Three gaps, and each one is something Hive is built to close.
Insight lost case to case
Every case is rich with information about products, technique, and time. Most of it leaves the room unrecorded, so it is not there for the next one.
Documentation that competes with care
A federal audit found about 49% of 6,558 Medicare claims were missing required device-credit codes, $33M across 911 hospitals, and errors ran in both directions. The cause is rarely diligence. It is documentation that has to happen while a team is already running a case, in workflows never built to carry it. The answer is frictionless documentation that augments the care team’s workflow instead of adding to it.
Time is tracked without a purpose
Most rooms already log start and stop times. What is missing is what those numbers are for. Turnaround is only half the story. The other half is whether the day can be structured to hold another case, where a week loses its margin, and which minutes are genuinely recoverable. At roughly $36 to $46 a minute, measured phase by phase, time stops being a record and becomes something a schedule can be built on.
Sources: U.S. Department of Health and Human Services, Office of Inspector General, report A-01-18-00502; published operating room cost-per-minute estimates.
Measure the case: objectivity across the whole care pathway
One passive capture of the case itself, confirmed by a person, delivered into a secure data room the site controls. Nothing is added to anyone’s workload, and nobody is asked to write anything down. What the care team and the administrator get back is the same thing: confidence in the number.
Passive, during the case
The surgeon, the nurse, and the tech run the case exactly the way they always have. No added steps, no stopping to record.
A person signs off, always
Every label the software proposes is reviewed and confirmed by a person before it counts. Nothing is applied silently, so the record is one your team can stand behind.
A secure data room
A HIPAA-compliant cloud data room with individual logins, per-user multi-factor access, and an immutable audit log.
Objective procedure-time metrics. Every phase and every step of the case, measured instead of estimated, with product usage and supply cost alongside it. Data an operating room committee can act on.
Observed product usage becomes a charge-capture candidate list for the coding team. Always a human-confirmed list, never an auto-submitted charge. Procedure-coding accuracy requires a human in the loop, and so does data that real decisions can depend on.
What changes in your room
Four things you can act on, drawn from cases you already ran.
Your block time, measured
What your cases actually take, phase by phase, so scheduling stops running on a number nobody measured.
Your supply picture
What was used, per case and per technique, without anyone counting or scanning.
Your variation, visible
How the same case runs across teams and rooms, so standardization comes from your own practice instead of opinion.
Your data stays yours
The site controls the dataset. Every number carries an audit trail, and Hive is the steward, never the owner.
Observed live in the room. Not retrospective chart review.
An independent record of what actually happened, built for every hospital, including the ones the operating room technology industry skips.
Observed, not inferred
Which product, at which step, by whom. Ground truth from the room itself. A barcode scan records what was opened. A claim records what was billed. Neither records what was used.
Whole case, whole room, every case type
Open, laparoscopic, and robotic. Sterile field and back table. An open architecture built to work in a small rural hospital and an academic center alike.
The site controls its data
Quarantine-first de-identification on by default at ingest. Fail-closed site scoping, where no access is ever the default. Hive is the steward, never the owner.
What the other paths leave on the table. Streaming platforms broadcast the case rather than measure it. Barcode scans and billing reports are paperwork produced after the fact. Robot-tied analytics see only robotic cases, graded by the company that sold the robot. Hive measures every case, in any room, and answers to no device maker.
Each successful stage drives the next
Data · Intelligence · Infrastructure. One deliberate order, where each stage earns the next.
Data
The measurement backbone. Capture workflow and product usage during the case and turn it into structured, objective metrics. Block-time efficiency and charge-capture candidates are the first products built on this stage.
Intelligence
Clinical performance indicators built on the backbone and defined with surgeons, not imposed on them. Benchmarking across cases and sites, and the technique-to-supply patterns the data makes visible.
Infrastructure
The data and the intelligence inform how the next operating rooms are designed and built, with Hive as part of the operating room interface itself. Remote surgical expertise is a far-horizon capability this infrastructure could enable. Aspirational, and never the lead.
See one. Do one. Teach one.
See a demo
Walk through a fully measured case in the live platform: phases, products, timing, and cost.
Upload a case
Run one of your own recorded cases through Hive, end to end, and see your room in the data.
Record a live session
Capture a session in your operating room, and tell us where the measurement is wrong. That feedback builds the product.
Surgical site, health system, partner, or investor. Tell us about your room and we reply within two business days.