The Computer Assisted Surgery (CAS) program produces a map of the patient’s knee which the physician monitors from a large screen. These computer systems manufactured, for example, by the implant manufacturers Aesculap (Orthopilot), DePuy (BrainLab), Stryker, and others have a simple anatomical model of the limb embedded in the computer program. The surgeon upgrades this ideal map by the process of "registration". This type of surgery enables surgeons to operate with smaller incisions and greater precision and helps the surgeon align the patient's bones and knee replacement implants with a degree of accuracy not possible with the naked eye.

The CAS system computer collects data points from in-room IR receivers and provides a degree of precision, speed and accuracy not attainable with other instruments. The computer provides visual mapping to help doctors make crucial decisions before and throughout the knee replacement operation. The objective is to combine the precision and accuracy of computer technology with the surgeon's skill to provide the best possible surgery outcome.

One advantage is that the doctor has greater "vision" when it counts — during surgery. This supports decision-making and enhances the surgeon's flexibility.

OrUpload Automation

During the knee and hip surgery the physician can record snapshots in the form of pictures at precise moments in the surgery. This saved information then becomes the historical record for the surgeon and can be recorded to disc or removable drive for future reference. Once collected, however, the surgery data is only useful for viewing cases one patient at a time.

OrUpload revolutionizes these computer systems by allowing the saved record to be uploaded. During upload the once static images are now dynamic and all collected information including angles, degrees and results are correlated into a searchable algorithm on the OrUpload servers. Think of it as a search engine for patient outcome reporting.

OrUpload automation tools allow the surgeon to analyze patient data both intra-operatively and post-operatively in real time and may help to predict post-operative outcomes.