Transplant Referrals против OPOM Использование & Stats

As leaders in the field, our NYU Langone Transplant Institute physicians are committed to developing new treatment strategies for successful transplantation. We are at the forefront of clinical research and surgical expertise. Our focus is on creating innovative techniques to care for people with life-threatening heart, liver, lung, pancreas, or kidney disease. With our Transplant Referrals at NYU Langone mobile app, medical professionals have contact details for Transplant Institute physicians and nurse navigators at their fingertips, for swift and easy patient referral and case collaboration.
  • Apple App Store
  • Бесплатный
  • Медицина

Рейтинг магазина

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The successful clinical application of liver transplantation has generated a discrepancy between supply and demand, thereby generating a persistent insufficient organ supply that results in thousands of candidate deaths every year while candidates await liver transplantation. Given the scarcity of this resource, the Model for End-Stage Liver Disease (MELD) accurately prioritizes a waitlisted candidate’s likelihood of death within the near future, so that the limited supply of donated livers can be allocated to maximize the benefit from transplantation. The MELD score was updated in 2014 and 2015. The objective of OPOM is to improve the accuracy of the MELD method and include hepatocellular carcinoma (HCC) patients, and then demonstrate effectiveness with simulation. The first order requirement to implement an allocation methodology is to achieve alignment on methodology. This methodology aims to determine the probability that a patient will either die or become unsuitable for liver transplantation within three months, given his or her individual characteristics, and then allocate the limited supply of donated livers to the patients that need it and then maximize benefit of transplantation Interpretability and transparency of the underlying processes is required to achieve alignment. Based on the work by D. Bertsimas, J. Kung, N. Trichakis, Y. Wang, R. Hirose and P. Vagefi https://doi.org/10.1111/ajt.15172
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  • Медицина

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Transplant Referrals vs. OPOM ranking comparison

Compare Transplant Referrals ranking trend in the past 28 days vs. OPOM

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Рейтинг Transplant Referrals против OPOM в сравнении по странам

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Transplant Referrals VS.
OPOM

декабрь 19, 2024