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  • Hours 25h of dedication
  • Dates 4 weeks
  • Limit Professional Program
  • Online 100% online
  • Places Limited places

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STRATEGIC ALLIANCE
MERCK, IBM AND TECNUN, THE ENGINEERING SCHOOL OF THE UNIVERSITY OF NAVARRA

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This union was born with the goal to share with healthcare professionals the challenges and opportunities of Artificial Intelligence (AI).

In this case, this superior training course Smart Health Awareness-Claves de la aplicación de la Inteligencia Artificial en salud is aimed at healthcare professionals and healthcare managers who wish to learn about the present and future of Artificial Intelligence (AI) in their sector.

 

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Learning objectives

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At the end of this course, participants will understand how Big Data and Artificial Intelligence technologies, through different methods and tools, are revolutionising the healthcare sector.

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The case study sessions are designed to inspire and enlighten participants on the possibilities of development in their different professional environments.

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PROGRAMME AND CONTENTS

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Methodology: model intensive, with recorded sessions to be studied autonomously.

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Introduction and Strategy

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Through some examples and experiences we will learn about the challenges and opportunities offered by Artificial Intelligence in a context of digital transformation to add value in the care and treatment of patients and diseases.

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The Data Culture

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Making quick and accurate decisions requires quality information. The collection of data; its organisation; analysis and visualisation, requires a transition towards a "data culture"; entering the virtuous circle of Big Data & Business Analytics.

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The Science of data

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It is common to visualise the technological development in health through different devices - in what has been called IoT (Internet of Things: telemetry bracelets, facial recognition, voice recognition, etc.) - or some applications: robot assistants, image recognition or Natural Language Processing (NLP). These elements are a continuous source of data generation. Discovering the scope of data science in the field of health requires us to understand how machine learning or deep learning algorithms can help us develop predictive models and generate autonomous systems that learn progressively. The application of Artificial Intelligence (AI) cannot allow us to get there faster and quicker.

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Ethics and Health

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Behind the data and the devices that obtain them there are people. Behind the design of some mathematical algorithms there may be biases. Respect for the law and legal responsibility are necessary; an ethical perspective is essential.

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Real cases in the health sector

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goal With the aim of inspiring and disseminating the application of Artificial Intelligence (AI) to the different processes in the health sector, participants will learn first-hand about some real cases of application of technologies where significant progress has been made.

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Academic staff

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The team of lecturers is made up of AI specialists, company managers, academics and practitioners of recognised professional prestige and proven track record in the field subject , who transmit not only theoretical knowledge, but also their own experience in practical application, providing solutions in the health sector.

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application,
enrollment Y
CERTIFICATION


 

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The profile of the participants is: healthcare professionals and health managers who wish to learn about the present and future of Artificial Intelligence (AI) in their sector.

Process of Admissions Office supervised by a joint committee of the University of Navarra, MERCK and IBM, in which both the academic criteria and the care impact of those interested in attending the training will be assessed.

Participants who can accredit participation in 80% of the sessions obtain a certification from the University of Navarra equivalent to 1 ECTS credit.

 

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Assumpta Chacón Moreno

Professional Programs
University of Navarra

Assumpta Chacón Moreno

 

31009 Pamplona, Spain