From observation to optimization: Improving efficiency in robot-assisted surgery
For an experienced orthopedic surgeon focused on total hip and knee replacement, robot-assisted surgery was never just about adding new technology, it was about improving the system around it.
He knew that technology alone wouldn’t unlock its full potential. Efficiency, consistency, and team coordination would be key. And that would require data.
A long-time believer that improving surgical performance requires both insight and openness, this surgeon approached robotics the same way he approaches everything in total hip and knee surgery: with curiosity, discipline, and a commitment to continuous improvement.
From insight to measurable impact
DEO.care’s baseline measurements captured the detailed flow of robot-assisted knee procedures, every phase, every transition, every minute. Compared to the initial data gathered, his current workflow has reduced approximately 20 minutes per case, enabling him to regularly complete six total joint procedures per OR day, up from five.
These gains didn’t come from rushing. DEO.care’s granular data helped his team identify opportunities to streamline setup, robot positioning and preparation, all without compromising safety or quality.
“The data gives great insight into where we can be more efficient,” he says. “You can literally see where your time goes and where your team is hitting their stride.”
Championing efficiency through transparency
He stresses that data alone doesn’t drive efficiency, it’s how the team uses it.
“Maximizing the value of technology requires a culture of transparency,” he notes. “The data and insights give us a shared language. Everyone can see what’s working and where improvements are possible.”
By using insights collaboratively, his team has created an OR environment where the process for robot-assisted surgery is clear, and each case benefits from lessons learned in the previous one.
Unlocking new potential in robotic surgery
DEO.care provides the clarity needed to turn innovation into impact. His experience underscores how objective data, open collaboration, and a willingness to learn can translate new technology into lasting performance gains. “Tools like DEO.care unlock potential we didn’t know we had,” he says. “It’s not just about using the robot-assisted technology, it’s about using making the whole OR work better.”
Tips & lessons learned: Driving real impact
From this experience, the key lessons for teams adopting robot-assisted surgery focus on measurable outcomes:
Increase throughput with workflow insights: Data-driven adjustments enabled the team to perform an additional case per OR day.
Shorten learning curves: Testing and refining approaches using granular data reduced the time it took to select the appropriate workflow for the team.
Build team confidence through transparency: Sharing insights openly improved consistency and performance across all staff.
Sustain improvements with iteration: Regular measurement ensures efficiency gains are repeatable and lasting.