Organis GmbH launches TestChest-light

Organis GmbH launched an economic version of itshigh-fidelity lung simulators TestChest. The new TestChest-light is built onthe same platform and provides the same mechanical and physiological featureslike its other version but at a significantly reduced price tag. Simulation-basedmedical training thus becomes affordable for all intensive care units.

Thousands of patients die every year because of medical errors,making health care one of the riskiest industries worldwide, the company says.In contrast, the airline industry is one of the safest industries, also becausethe crew has to complete simulator training on a regular basis. TestChest is asimulator for clinicians with the same purpose, to make health care safer,especially for intensive care patients.

According to Organis GmbH, large parts of medical training arestill done on actual patients because many simulators do not live up to thetask, the high-fidelity simulators are expensive and return of investment isdifficult to calculate for simulation-based training. Primum non nocere –first, to do no harm – is the moral guideline of physicians and also applies tothe training completed on patients. Consequently, trainees cannot really"practice" on patients because negative outcomes could ensue. Pilots,on the other hand, can make gross mistakes during the training in flightsimulators. The risks in the simulator are virtually zero, thus even extremesituations can be trained. With TestChest-light, a high-fidelity simulator isnow available for hospitals with a tight budget.

Many patient simulators do not react to treatment or need tobe remote controlled by an experienced specialist to show the effects oftreatment. TestChest and TestChest-light react autonomously to treatment and donot need remote-control. Simulation-based training thus becomes easy to use, ismore consistent than traditional simulation and needs less personnel. BecauseTestChest-light comes at a much reduced cost of ownership, it significantlyimproves the cost-benefit ratio of simulation based training.