Smart Health Awareness
SERMAS
FOCUSED COURSE
Keys to the application of Artificial Intelligence in healthcare
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25h of dedication
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April 24 - June 11, 2023
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Deadline for application: April 14, 2023
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100% online
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Limited places
STRATEGIC ALLIANCE
MERCK, IBM, TECNUN, THE ENGINEERING SCHOOL OF THE UNIVERSITY OF NAVARRA AND SERMAS
This union was created with the aim of sharing the challenges and opportunities of Artificial Intelligence (AI) with professionals in the healthcare sector. goal .
In this case, this course focused on Smart Health Awareness-Claves de la aplicación de la Inteligencia Artificial en salud (ES-NONNI-00526) is aimed at healthcare professionals and health managers who wish to learn about 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 intensive of alternate weeks, with recorded sessions to 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 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.
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 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.
The deadline for apply for the Admissions Office to the course ends on April 14, 2023. The candidate should fill in the form that appears in the following section. Applications will be resolved on April 18, 2023, the same day all candidates will be notified of the decision.
The Admissions Office process is supervised by a joint committee of Merck, IBM, the University of Navarra and SERMAS, which will evaluate both academic criteria and the healthcare impact of those interested in attending the training.
Participants who can prove that they have attended 80% of the sessions will 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