PANSURAS is an institutional, local server-based, integrated decision-support program for preoperative risk assessment, teaching, as well as individual, local, and regional quality audit.
Perioperative assessment in PANSURAS is based upon the concept that a patient does not only undergo anesthesia or surgery, but undergoes anesthesia plus surgery. This means that preoperative risk assessment is an assessment of the risks of short-term effects of anesthesia combined with surgery, the risks associated with the longer-term effects of surgery, as well as the effects of any postoperative medication and therapy.
Three moments determine postoperative risk. Pre-, per-, and postoperative data are combined in proprietry algorithms to continually update the coefficients used in logistic equations providing clinical decision support to answer questions such as:
PANSURAS assesses patient profiles at four moments:
Teaching, Preoperative management & Research:
PANSURAS is also an integrated teaching, and research instrument. Multiple screens and pop-ups, (activated by clicking the many “info” buttons), provide information as well as advice on multiple context-related topics.
The simulation mode can be employed to demonstrate the effects of certain types of pathology upon perioperative morbidity of real, and example patients. At the same time, the simulation mode is a valable clinical tool with which to investigate the effects of any preoperative therapy directed to improving the condition of a specific patient.
The two-factor analytics on the analytics page reveal relationships between parameters: performs exponential, linear, logarithmic, and quadratic regressions, as well as generating the relevant equations to reveal relationships. This feature enables the expansion and formulation of new predictive algorithms.
Multiple factor logistic regression modules:
The analytics page of PANSURAS provides access to mutliple factor logistic regression modules which can be used to continually update the coefficients of the predictive equations used in the clinical page. The ability to perform continual multiple regresssions is a feature making PANSURAS unique in the field of preoperative assessment. No other perioperative predictive algorithms possess this feature. The ability to perform multiple regressions upon the local / regional patients actually treated in that locality / region means that PANSURAS generates accurate predictions for that locality / region. It also means that the predictive equations adjust for changing demography, socio-economic circumstances, and medical techniques. This means that PANSURAS is applicable in all world regions.
These same local / regional regressions can be used to benchmark performance between regions, as well as countries. (see the “Clinical logistical regression coefficients screen”)
Audit & PANSURAS:
The logistical analytical algorithms upon which much of PANSURAS is based are also powerful benchmarking and audit algorithms for regions, hospitals, and even individuals. A classic example of this use was published during 1993 for comparison of the vascular surgical units of two hospitals (Click here to read article by Copeland et al). This article reveals the power of physiological profiling. When physiological profiling is combined with postoperative follow-up data as revealed in the example “Clinical logistical regression coefficients screen”, then PANSURAS becomes a powerful quantitative, outcome-driven: individual, surgical unit, hospital, and regional, audit and benching tool. (example audit screens for an individual surgeon are shown as audit-1, audit-2, and audit-3 screens).
FINALLY — more information:
More information is provided by a Powerpoint presentation accessed by:
(the link goes to a 2.5+ mb powerpoint presentation - may take a few seconds to load)
Some screenshots of PANSURAS
Contact Woerlee Praktijk B.V.
Interested persons can contact the company represnting PANSURAS at the foloowing telephone number, or by email.
Telephone (mobile): +31 (0)6 53578402