Perioperative ANesthesia & SURgical Assessment System
PANSURAS originated in an insight into an evident need for change in the current systems of preoperative surgical risk assessment — a solution eliminating many of the perceptions, deficiencies and lacunae in current preoperative assessment practice.
Most physicians at this moment, among which surgeons and anesthesiologists, unknowingly fail to realize the truly vast lack of real knowledge about which risk factors are relevant for each particular type of surgery in their locality. This sounds bombastic and negative, but is generally true. So, what are these perceptions, deficiencies and lacunae needing answers and correction?
Modern preoperative assessment is seldom designed for any specific locality, is qualitative and not quantitative, is qualitative, as well as varying somehwat with the physician performing the assessment. This renders understanding of these perceptions, deficiencies and lacunae very relevant indeed. Even so, it does function reasonably well. Nonetheless, it fails to perform as efficiently, or to drive improvements in perioperative quality of care as would a quantitatively based machine-learning system. PANSURAS is just such a machine-lerning system providing quantitative outputs making many improvements in perioperative care possible. So what are the advantages of a system such as PANSURAS?