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Medicine and Health Sciences

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University of Texas Rio Grande Valley

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2020

Decision-making

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Consenso Experto En Tiempos De Covid-19: Aplicaciones Del Método Delphi En Materia De Salud [Expert Consensus In Times Of Covid-19: Health Applications Of The Delphi Method], José D. Martínez-Ezquerro, Sonia Maria Ruiz-Cejudo, Alejandra Bustamante-Fuentes, Alvaro Diaz-Badillo, Esperanza M. García-Oropesa, Elena B. López-Sosa, Yoscelina E. Martínez-López, Óscar O. Moctezuma-Chávez, Edna J. Nava-González, Juan Carlos Lopez Alvarenga Dec 2020

Consenso Experto En Tiempos De Covid-19: Aplicaciones Del Método Delphi En Materia De Salud [Expert Consensus In Times Of Covid-19: Health Applications Of The Delphi Method], José D. Martínez-Ezquerro, Sonia Maria Ruiz-Cejudo, Alejandra Bustamante-Fuentes, Alvaro Diaz-Badillo, Esperanza M. García-Oropesa, Elena B. López-Sosa, Yoscelina E. Martínez-López, Óscar O. Moctezuma-Chávez, Edna J. Nava-González, Juan Carlos Lopez Alvarenga

School of Medicine Publications and Presentations

La epidemia de COVID-19 ha modificado la cultura de la comunicación. La solución para los problemas de salud puede ser asertiva cuando es consensuada. El método Delphi es una herramienta de consenso que emplea rondas de listas de preguntas para recopilar información del conocimiento de un panel de expertos que analizan planteamientos y posibles soluciones a problemas. Se basa en la premisa de que, con la libertad del anonimato, la inteligencia combinada mejora el juicio individual y captura la opinión colectiva experta. El proceso del método es muy flexible, pues las rondas de preguntas pueden realizarse de manera presencial o …


Surrogates And Artificial Intelligence: Why Ai Trumps Family, Ryan Hubbard, Jake Greenblum Sep 2020

Surrogates And Artificial Intelligence: Why Ai Trumps Family, Ryan Hubbard, Jake Greenblum

School of Medicine Publications and Presentations

The increasing accuracy of algorithms to predict values and preferences raises the possibility that artificial intelligence technology will be able to serve as a surrogate decision-maker for incapacitated patients. Following Camillo Lamanna and Lauren Byrne, we call this technology the autonomy algorithm (AA). Such an algorithm would mine medical research, health records, and social media data to predict patient treatment preferences. The possibility of developing the AA raises the ethical question of whether the AA or a relative ought to serve as surrogate decision-maker in cases where the patient has not issued a medical power of attorney. We argue that …