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New medical models may help train surgeons

| Oct 24, 2016 | Surgical Errors

Houston residents who need surgery appreciate that their surgeons are well-trained. Usually patients are not excited about having surgery, but knowing that they are in good hands can be reassuring. Most of the time surgeries go as planned, but occasionally a surgical error can occur. A new company is making medical models that may help reduce surgical errors.
A new company, with headquarters in France and the United States, has designed a multi-material printer that can mimic the real feel and look of organs so students can practice surgery. The company already has models for cardiac, orthopedic and ear, nose and throat procedures. They are working on more models for the entire human body which may someday be able to replace cadavers. Currently medical students have a limited opportunity for practical experience which can lead to them making mistakes when confronted with a complex surgery for the first time. Having these new medical models available to practice on may help reduce surgical errors. In addition, these models can be designed for patients who need surgery so that their surgeons can see the problem and plan for the surgery ahead of time. A family who has been affected by a surgical error know how serious and devastating these can be. A patient can suffer from a worsened condition or serious injury because of an unexpected surgical error. Any additional training and practice that surgeons can receive can be helpful in reducing these surgical errors. If a patient believes that they have been affected by a surgical error, they may want to speak with a legal professional skilled in medical malpractice. An attorney can help a patient get the answers they deserve regarding their situation.
Surgical errors can happen to anyone, regardless of the complexity of the surgery. It is important for surgeons to receive the most comprehensive training and if they make a mistake then they should be held accountable.
Source: 3dprintingindustry.com, “Can new medical models cut patient mortality?“, Nick Hall, July 26, 2016

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