Smart Health Awareness
SERGAS
FOCUSED COURSE
Keys to the application of Artificial Intelligence in healthcare
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25h of dedication
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October 2 - November 19, 2023
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Limit of application: September 22, 2023
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100% online
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Limited places
STRATEGIC ALLIANCE
MERCK, IBM AND TECNUN, THE SCHOOL OF ENGINEERING OF THE UNIVERSITY OF NAVARRA AND SERGAS
This union was born with the goal to share with SERGAS professionals the challenges and opportunities of Artificial Intelligence (AI).
In this case, this course focused on Smart Health Awareness - Keys to the application of Artificial Intelligence in health is aimed at health professionals and health managers who want to know the present and future of Artificial Intelligence (AI) in their sector.
Learning objectives
01.
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.
PROGRAMME AND CONTENTS
100 % online
Methodology: model alternate weeks, with recorded sessions that will be studied autonomously.
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.
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.
It is common to visualize the technological development in healthcare 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 generation of data. Discovering the scope of the science of data in the field of healthcare requires us to understand how machine learning or deep learning algorithms can help us to develop predictive models and to generate autonomous systems that learn progressively. The application of Artificial Intelligence (AI) cannot allow us to get there sooner and faster.
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.
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.
Academic staff
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.
application,
enrollment Y
CERTIFICATION
The profile One of the participants is: health professionals and managers of SERGAS who want to know the present and future of Artificial Intelligence (AI) in their sector.
The deadline for apply for Admission to the course ends on September 22, 2023. The candidate Must fill in the form which appears in the following section. Applications will be decided on September 27, 2023, on the same day all candidates will be notified of the decision.
The admissions process It is supervised by a committee SERGAS, Merck, IBM and the University of Navarra in which both the academic criteria and the healthcare impact of those interested in attending the training.
Participants who accredit a average of 80% of grade in the 5 questionnaires of assessment obtain a certification from the University of Navarra equivalent to 1 ECTS credit.
enrollment closed
Assumpta Chacón Moreno
Professional Programs
University of Navarra
31009 Pamplona, Spain