What Surgeons Actually Want From a Surgical Data Platform
Only 55% of surveyed Dutch orthopedic surgeons knew whether their own group was a performance outlier, even though a live registry dashboard displayed it.
Operating rooms produce far more data than any surgeon has time to read.
Vendors respond with platforms, dashboards, and analytics suites, each promising to turn that data into better care.
Whether those tools help depends on a question that rarely gets asked: what surgeons themselves value in them.
A tool that surgeons do not open cannot change an outcome.
Surgeons Want Numbers They Can Trust
The first condition for using a performance report is believing it.
A 2013 study interviewed 23 surgeons about personal performance reports built from NSQIP, Medicare core measures, and hospital administrative data.
Only 11 of the 23 showed that they understood how valid, accurate, or complex the data were.
Of those 11, six took steps to check the data or improve their performance.
Most of the surgeons expected the reports to help through knowledge of personal outcomes and comparison with peers, which shows that the appetite for the data exists.
They also raised small sample sizes and possible coding errors as limits on what one report can say.
Some feared that others would misread the numbers and that the reports could push surgeons to avoid high-risk patients.
Each concern points to a design requirement, namely clear metric definitions, visible sample sizes, and a way to account for case difficulty.
Surgeons interviewed about a platform for patient-reported outcomes reached the same place, stating that it must promote information transparency.
A Dashboard Nobody Opens Changes Nothing
The Netherlands runs a registry dashboard that shows each hip and knee surgeon group its revision rate against other groups.
A December 2018 survey invited 445 orthopedic surgeons, and 194 of them started the questionnaire.
Among those who answered, 55% of hip surgeons and 55% of knee surgeons knew whether their group’s revision rate was an outlier.
Awareness tracked behavior, since 90% of the aware hip surgeons had logged in at least once a year, against 53% of the unaware.
Only 61% of hip and knee surgeons interpreted the dashboard’s funnel plots correctly.
Among the 20 respondents working in groups with a significantly higher revision rate, 9 had not seen the problem coming because they had never checked the dashboard.
Seventeen of those 20 reported that improvement work had started in their groups once the problem was known.
The authors described this style of feedback as passive and argued that active elements are needed to bring surgeons to the data.
Usability matters here as much as content.
A study of a surgical outcomes dashboard at a congenital heart center had 12 users rate a redesigned version at 82.9 on the System Usability Scale, against 63.5 for the existing one.
The authors traced usability problems to mismatched mental models between the designers and the users.
In the patient-reported outcomes interviews, the first requirement surgeons named was that the platform be user-friendly for clinicians and patients, with seamless electronic health record integration.
Tailored Beats Customizable
Dashboards are often sold on how many filters they offer.
In the Dutch survey, 82% of surgeons preferred feedback tailored to their group over choosing their own indicators.
Only 18% wanted to select indicators themselves.
On timing, 62% wanted updates every six months, 23% every quarter, and 4% every month.
The preference runs against the assumption that more frequent always means more useful.
Number of procedures was the indicator surgeons found most interesting, followed by one-year revision rates.
The indicators they asked to add were implant survival and complications, which 82% of hip surgeons and 76% of knee surgeons called relevant.
Surgeons in the patient-reported outcomes interviews asked for validated questionnaires with some room for customization and for longitudinal display of the results.
In the Operating Room, Safety Leads
Tools that run during a case get judged by a different standard, because every alert competes with the operation itself.
A 2026 survey of 53 surgeons from 19 countries rated five intraoperative AI functions for usefulness.
Anatomy recognition scored 4.57 out of 5, and risk detection scored 4.45.
Step recognition scored 3.36 and decision-making guidance scored 3.51, the lowest of the five.
Improving safety was the priority for 56.6% of respondents.
The authors read the pattern as a case for modular tools that switch on only when needed, to limit interruptions and mental load.
A survey of 202 German surgeons, run from July to November 2022, also put patient safety first as a reason to buy an AI laparoscopy system, at 86.1%.
Automatic creation of operation reports drew interest from 50.5% of that group.
Across 671 responses from 98 countries in 2021 and 2024, surgeons named accountability and transparency as the top ethical concern in the 2024 survey, at 62.7%.
Those surveys also found that a majority prioritized accuracy over explainability when forced to choose.
The Pipes Come Before the Platform
A platform needs data, and many operating rooms struggle to capture it.
In the 2021 and 2024 surveys, lack of technical infrastructure ranked as the leading barrier to adopting AI, at 4.77 on a six-point scale.
In 2024, 30.9% reported difficulty recording video because of insufficient storage, and 37.1% because of insufficient recording devices.
Over 80% reported systematically recording surgical video, with about half of that activity inside approved research protocols.
Only 17.1% on average collected structured clinical and radiological datasets.
Recording is common, but structured data is rare, which leaves platforms with little to analyze.
In the 2026 survey, 79.2% had never used an intraoperative AI tool, although 86.8% agreed such tools could improve performance.
The authors read that gap as a problem of availability and integration rather than a lack of interest.
What the Evidence Cannot Say
No study in this body of work ranks the capabilities of a surgical data platform head-to-head.
The studies cover different tools, from registry dashboards to outcomes platforms to intraoperative AI, so the patterns are comparisons across settings and not a single league table.
Samples are modest, and response rates are low, with 53 surgeons in the 2026 survey, 8% of invited surgeons in the German survey, and 44% in the Dutch survey.
Several surveys recruited at courses, webinars, or university hospitals, which may favor surgeons already interested in new technology.
What a Surgical Data Platform Should Offer
Read together, the studies point to a short list of requirements.
A platform should show data that surgeons can verify, with clear metric definitions, visible sample sizes, and an account of case difficulty.
It should deliver reports tailored to each surgeon or group, on a schedule surgeons choose.
It should track outcomes that surgeons care about, such as complications, implant survival, and patient-reported results over time.
It should be tested with surgeons before launch, because designers and users can picture the same tool very differently.
Its operating room features should be optional and led by anatomy recognition and risk detection.
It should rest on storage and recording infrastructure that makes the data exist in the first place.
The 2026 Surgical Technology Intelligence Report tracks which technologies reached the operating room, which companies matter, and what the clinical evidence supports.
Related reading
Sources
Acta Orthopaedica (2020), Van Schie et al., awareness of performance among Dutch orthopedic surgeons
Journal of the American College of Surgeons (2013), Yi et al., surgeon-specific performance reports
Thieme (2019), usability testing of an interactive dashboard in a congenital heart center
Langenbeck’s Archives of Surgery (2023), Lünse et al., survey of surgeons in Germany
