Keep turnovers
on track
Learn how Tampa General Hospital uses Apella's ambient video intelligence to understand and optimize turnover efficiency.
The key to smoother,
faster turnovers
When turnovers run long, delays can derail the case schedule, frustrate surgeons, and strain OR staff. Apella provides real-time data and insights to track and improve turnovers, keeping your entire team on the same page.
Track turnover progress with ease
Know exactly when patients exit, when cleaning begins and ends, and when setup is complete. Apella automatically captures and shares detailed turnover phase info in real time.
- Live view of in-progress turnovers
- Turnover stopwatch
- Turnover goal tracking
Improve real-time coordination
Eliminate assumptions and last-minute scrambles. Apella shows your staff exactly when and where help is needed, enabling charge nurses, scrub techs, and EVS teams to proactively coordinate.
- Real-time turnover dashboard
- Automated SMS notifications
- Turnover surge predictions
Root improvements in trusted data
Quit guessing where turnover processes break down. Apella empowers you with precise data to predict turnover delays, isolate root cause, and quickly measure improvement.
- Custom turnover reporting
- Predictions about slow turnovers
- Smart turnover video playback
Frequently asked questions
What is OR turnover time?
OR turnover time is the interval between one patient leaving an operating room and the next patient entering it — covering room cleaning, equipment setup, and staff coordination in between. Even though turnover is the most commonly tracked efficiency metric, research using Apella's data found it accounts for only about 24% of total OR case time, meaning turnover improvements alone won't solve every scheduling problem, but they remain one of the fastest, most visible wins for OR teams.
How does Apella track and improve OR turnovers?
Apella uses computer vision to automatically detect and timestamp each phase of a turnover in real time — patient exit, cleaning start and end, and setup completion — and displays it through a live, color-coded status view. This replaces the manual walk-throughs and guesswork OR managers have traditionally relied on to know how a turnover is actually progressing.
Can ambient AI predict how long a turnover will take?
Yes. Apella's predictive turnover forecasting uses historical case and turnover data — including case complexity, specialty, and sequencing patterns like back-to-back complex cases — to forecast how long an upcoming turnover will take, and updates that forecast in real time as conditions change. This gives charge nurses and OR managers advance notice to allocate cleaning and setup staff before a turnover starts running long, rather than discovering it after the fact.
Why is manually tracked turnover data unreliable?
Turnover data is traditionally logged by circulating nurses whose primary responsibility is patient care, not documentation, so timestamps are often delayed, estimated, or missed entirely. One health system found its staff was over 98% accurate logging when patients entered a room, but under 60% accurate logging when the patient left, resulting in hundreds of minutes of missing data over just a few months. Ambient AI removes that gap by capturing every turnover event automatically, without relying on staff documentation.
How does turnover staff use ambient AI?
Apella helps turnover staff, including contracted environmental services professionals, anticipate long turnovers so they can plan ahead and provide the right support to keep schedules on track.





