How prescriptive analytics influences decision making in precision medicine

Failure of the old model of medical decision making, “one-size-fits-all”, has encouraged the healthcare/medicine landscape to take advantage of big data and analytics for tailoring the treatments[1], based on individual patient’s differences in gen, environment, and lifestyle [2]. Whereas literature has demonstrated a strong contribution to the adoption of healthcare analytics over patient’s data, for better decision making [3], understanding the level and the degree that each type of analytics influences decision making, is crucial for addressing the type of problems [4]. While descriptive, diagnostic, and predictive analytics generate knowledge for decision support systems, prescriptive analytics recommends a proactive decision[5]. This study aims to highlight the influential and effective role of prescriptive analytics for fulfilling precision medicine which is defined as an emerging approach in medical decision making .FCT – Fundação para a Ciência e Tecnologia within the Projects Scope: DSAIPA/DS/0084/201

Olena Kasyanova1, Olga Kvasnyk2, Igor Bodnia3, Iryna Rudnyeva4, Olena Bespartochna5, Tamara Poyasok6 1Doctor of Pedago

This study elucidates the theoretical underpinnings and underscores the imperative of enhancing master\u27s training programs for higher education teachers within the educational digitalization landscape on the public health education example. The research elucidates that at the core of this evolution lies the technological concept, necessitating the development of a meticulously grounded model for the purposeful and well-organized training of higher education faculty within a digitally transformed educational framework. This model delineates a meticulously outlined structure, content framework, a judicious selection of methodologies and techniques, and a methodical integration of technological advancements to ensure the realization of desired educational outcomes. The structural-functional model encompasses integral components such as the methodological-objective facet (incorporating societal demands, educational objectives, conceptual approaches to professional development, and digitalization elements), the constructive-procedural dimension (comprising educational directions, organizational forms in the digital paradigm), the profession-specific aspect (encompassing content, technologies, methods, pedagogical tools), and the analytical-effective domain (defining criteria, process metrics, diagnostic tools), in conjunction with organizational-pedagogical parameters. Emphasis is placed on nurturing a tailored educational milieu and fostering educational innovations to augment the efficacy of training enhancements with a specific lens toward public health implications. The article substantiates the criteria and metrics for bolstering master\u27s training initiatives for higher education instructors, underlining the distinct facets of national educational digitalization and the unique dynamics among higher education stakeholders. The contemporary relevance of revamping master\u27s programs for teachers is underscored through exploring diverse digital learning formats employing information technologies, digital resources, and cloud-based tools. Initiatives aimed at reshaping the master\u27s educational landscape to align with the digital era will entail validating the proposed model\u27s efficacy through experimental validation across domestic and international educational realms

Upgrading Master\u27s Training for Higher Education Instructors in the Digital Era: Public Health Education as an Example

This study elucidates the theoretical underpinnings and underscores the imperative of enhancing master\u27s training programs for higher education teachers within the educational digitalization landscape on the public health education example. The research elucidates that at the core of this evolution lies the technological concept, necessitating the development of a meticulously grounded model for the purposeful and well-organized training of higher education faculty within a digitally transformed educational framework. This model delineates a meticulously outlined structure, content framework, a judicious selection of methodologies and techniques, and a methodical integration of technological advancements to ensure the realization of desired educational outcomes. The structural-functional model encompasses integral components such as the methodological-objective facet (incorporating societal demands, educational objectives, conceptual approaches to professional development, and digitalization elements), the constructive-procedural dimension (comprising educational directions, organizational forms in the digital paradigm), the profession-specific aspect (encompassing content, technologies, methods, pedagogical tools), and the analytical-effective domain (defining criteria, process metrics, diagnostic tools), in conjunction with organizational-pedagogical parameters. Emphasis is placed on nurturing a tailored educational milieu and fostering educational innovations to augment the efficacy of training enhancements with a specific lens toward public health implications. The article substantiates the criteria and metrics for bolstering master\u27s training initiatives for higher education instructors, underlining the distinct facets of national educational digitalization and the unique dynamics among higher education stakeholders. The contemporary relevance of revamping master\u27s programs for teachers is underscored through exploring diverse digital learning formats employing information technologies, digital resources, and cloud-based tools. Initiatives aimed at reshaping the master\u27s educational landscape to align with the digital era will entail validating the proposed model\u27s efficacy through experimental validation across domestic and international educational realms

Las nuevas tecnologías y el seguro : big data, blockchain, open insurance, inteligencia artificial, sandbox e insurtech

En la actualidad el sector asegurador está viviendo una revolución tecnológica gracias a las nuevas tecnologías desarrolladas que se están adaptando al mundo del seguro. Con el propósito de mostrar estas principales nuevas tecnologías que están o pueden revolucionar el sector asegurador. Se ven en el trabajo desde un punto de vista en el que se conozca de forma general tanto, su regulación o posible regulación (dentro del marco de la unión europea), y, además, de obviamente como es la tecnología de forma superficial sin entrar en su desarrollo. Todo ello sin dejar de ver sus beneficios para ser adoptados por el sector del seguro y para los propios actuarios, los cuales debemos conocer y en algún caso trabajar con ellos.Currently, the insurance sector is undergoing a technological revolution thanks to the new technologies developed that are adapting to the world of insurance. With the purpose of showing these main new technologies that are or may revolutionize the insurance sector. They see themselves at work from a point of view in which both their regulation or possible regulation (within the framework of the European Union) is known in a general way, and also, obviously how the technology is superficially without going into its development. All this without failing to see its benefits to be adopted by the insurance sector and by the actuaries themselves, which we must know and in some cases work with them.Máster Universitario en Ciencias Actuariales y Financieras (M124