Computer Assisted Detection
RaPID’s Computer Assisted Detection software uses complex pattern recognition algorithms - combining elements of artificial intelligence with digital image processing - to detect retained surgical items (RSIs) and identify implantable medical devices (IMDs) on medical images. The system has been refined over thousands of images and incorporates machine learning to improve accuracy over time.
Improve Surgical Patient Safety
RaPID’s patient safety platform will serve as a critical support tool for radiologists, surgeons, cardiologists, anesthesiologists, and emergency room physicians dealing with retained surgical items (RSI) and implantable medical device mismanagement (IMD). Also, RaPID's solution provides an effective paradigm for an IMD identification system mandated by Congress in 2007, but is still not in place.
Reduce the Cost of Surgery
In 2011, the average payout for a retained surgical item claim was $473,000, and $2 million for cases involving permanent damage to the patient. We estimate that RSIs add an average $95 cost to any relevant surgery. Our technology has the potential to eliminate these costly events. Also, our solution improves operating room efficiency by reducing the time to analyze an X-ray to rule out retained surgical items.