SwedenHealthcare and life sciences2026 – ongoingKarolinska University Hospital
AI estimates of surgery duration for operating-room planning
Karolinska implemented AI surgery-duration estimates and an early evaluation found them useful for planning
Problem
Operating-room schedules depended on estimates of how long procedures would take. The hospital wanted to use operating theatres and staff more efficiently.
Approach
An AI model learned from previous operations and surgical records to estimate procedure duration. The hospital developed and implemented the tool within a few months. It was classified as an administrative tool.
Results
No published figures
Takeaway
An early evaluation found the estimates useful for planning. No numerical improvement in scheduling or resource use was disclosed.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Press reporting
Sources
Source summaries
Medicinsk Vetenskap reported that Karolinska University Hospital implemented a model trained on historical operations and surgical records. It described a positive early evaluation but gave no numerical performance or efficiency results.
Full details are in the original sources.
