<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2594-2166</journal-id>
<journal-title><![CDATA[Medicina y ética]]></journal-title>
<abbrev-journal-title><![CDATA[Med. ética]]></abbrev-journal-title>
<issn>2594-2166</issn>
<publisher>
<publisher-name><![CDATA[Universidad Anáhuac México, Facultad de Bioética]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2594-21662024000400990</article-id>
<article-id pub-id-type="doi">10.36105/mye.2024v35n4.02</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[De la interoperabilidad de datos a la &#8220;interoperabilidad moral&#8221; en la arquitectura mundial de datos sanitarios: caso de uso integrado de análisis ético computacional impulsado por IA con puntuación de propensión bayesiana y análisis de costos y beneficios que optimizan la eficiencia y la equidad en el cáncer colorrectal]]></article-title>
<article-title xml:lang="en"><![CDATA[From data interoperability to &#8216;moral interoperability&#8217; in the global health data architecture: integrated use case of AI-driven computational ethical analysis with Bayesian-propensity score and cost-benefit analyses optimizing efficiency and equity in colorectal cancer]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Monlezun]]></surname>
<given-names><![CDATA[Dominique J]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sotomayor]]></surname>
<given-names><![CDATA[Claudia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Girault]]></surname>
<given-names><![CDATA[Maria Ines]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garcia]]></surname>
<given-names><![CDATA[Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gallagher]]></surname>
<given-names><![CDATA[Colleen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Ateneo Pontificio Regina Apostolorum School of Bioethics ]]></institution>
<addr-line><![CDATA[Roma ]]></addr-line>
<country>Italia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Ateneo Pontificio Regina Apostolorum School of Bioethics ]]></institution>
<addr-line><![CDATA[Roma ]]></addr-line>
<country>Italy</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Ateneo Pontificio Regina Apostolorum School of Bioethics ]]></institution>
<addr-line><![CDATA[Roma ]]></addr-line>
<country>Italy</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Ateneo Pontificio Regina Apostolorum School of Bioethics ]]></institution>
<addr-line><![CDATA[Roma ]]></addr-line>
<country>Italy</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Ateneo Pontificio Regina Apostolorum School of Bioethics ]]></institution>
<addr-line><![CDATA[Roma ]]></addr-line>
<country>Italia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>35</volume>
<numero>4</numero>
<fpage>990</fpage>
<lpage>1054</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2594-21662024000400990&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2594-21662024000400990&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2594-21662024000400990&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El aumento de los costos sanitarios y financieros de las enfermedades, las discapacidades y las disparidades respalda la aceleración mundial de los intereses y las inversiones en IA (inteligencia artificial) sanitaria para lograr soluciones sanitarias mejores, más baratas, más rápidas y justas a escala mundial y local. Sin embargo, no existe un consenso sobre la aplicación práctica de los principios de la IA responsable en diversos sectores, estados y sistemas de creencias de todo el mundo. Este estudio de prueba de concepto utiliza el marco ético pluralista global (el Contrato Social Personalista) para proporcionar, por tanto, el primer análisis conocido de ética computacional (AiCE, por sus siglas en inglés) y política basado en IA aumentada bayesiana que integra análisis clínicos, de rentabilidad y de disparidades en la atención sanitaria con datos representativos a nivel nacional para estimar el costo global de las disparidades en la atención sanitaria en la colonoscopia (CS, por sus siglas en inglés) y el ahorro de la CS habilitada por IA para reducirlas. El estudio sugiere que revertir las disparidades raciales, en particular entre hispanos y asiáticos, puede ahorrar a los sistemas sanitarios estadounidenses 17.610 millones de dólares al año, con un ahorro potencial de 625,40 millones de dólares para los hispanos y 289 millones de dólares para los asiáticos en particular (con un ahorro similar para las comunidades vulnerables en países de ingresos medios y bajos). Los resultados anteriores respaldan el imperativo de ahorro de costos que supone la inversión estratégica y de capacitación en estas medidas impulsadas por la IA para mejorar los objetivos estratégicos de sostenibilidad, eficacia, eficiencia y equidad (SEEE) de la atención sanitaria. Estos resultados empíricos informan el argumento bioético global más amplio de las dimensiones gemelas de la dignidad y la seguridad humanas (arraigadas en el relato personalista, multicultural y metafísico de la persona como miembro de la familia humana global) para destacar el imperativo ético de la IA para optimizar el rendimiento del ecosistema sanitario digital global. Semejante fin instrumental es un medio decisivo para avanzar hacia el fin último del bien común, en el que se salvaguarda el bien individual de cada persona y en el que éste encuentra su realización trabajando hacia él.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The surging health and financial costs of diseases, disabilities, and disparities support the global acceleration of interests and investments in health AI for better, cheaper, faster, and fairer health solutions globally and locally. Yet there is no consensus on practically operationalizing responsible AI principles across diverse global sectors, states, and belief systems. This proof-of-concept study utilizes the global pluralistic ethical framework (the Personalist Social Contract) to therefore provide the first known Bayesian augmented AI-driven Computational Ethical (AiCE) and policy analysis integrating clinical, cost effectiveness, and healthcare disparity analyses with nationally representative data to estimate the global cost of healthcare disparities in colonoscopy (CS) and the savings from AI-enabled CS to reduce them. It suggests that reversing racial disparities particularly for Hispanics and Asians may save American healthcare systems $17.61 billion annually, with AI-augmented CS potentially contributing savings of $625.40 million for Hispanics and $289.00 million for Asians in particular (with similar cost savings for vulnerable communities in middle and low-income countries also). The above findings support the cost savings imperative for such strategic and capacity-building investment in these AI-driven measures to improve healthcare&#8217;s strategic aims of Sustainability, Effectiveness, Efficiency, and Equity (SEEE). Such empirical results inform the larger global bioethical argument from the twin dimensions of human dignity and human security (rooted in the personalist, multicultural, and metaphysical account of the person as a member of the global human family) to highlight the AI ethical imperative to optimize the performance of the global digital health ecosystem. Such an instrumental end is a critical means of advancing toward the ultimate end of the common good, in which the individual good of each person is safeguarded and in which it finds her/his fulfillment working toward.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[colonoscopia]]></kwd>
<kwd lng="es"><![CDATA[rentabilidad]]></kwd>
<kwd lng="es"><![CDATA[disparidades]]></kwd>
<kwd lng="es"><![CDATA[IA]]></kwd>
<kwd lng="es"><![CDATA[interoperabilidad moral]]></kwd>
<kwd lng="en"><![CDATA[colonoscopy]]></kwd>
<kwd lng="en"><![CDATA[cost effectiveness]]></kwd>
<kwd lng="en"><![CDATA[disparities]]></kwd>
<kwd lng="en"><![CDATA[AI]]></kwd>
<kwd lng="en"><![CDATA[moral interoperability]]></kwd>
</kwd-group>
</article-meta>
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