Smart Health Awareness Sacyl
FOCUSED COURSE
Keys to the application of Artificial Intelligence in healthcare
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25h of dedication
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February 03, 2025 - March 30, 2025
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Deadline for admission: January 24th, 2025
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100% online
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Limited places
STRATEGIC ALLIANCE
SACYL, MERCK, IBM AND TECNUN, THE ENGINEERING SCHOOL OF THE UNIVERSITY OF NAVARRA
This union was born with the goal to share with Sacyl professionals the challenges and opportunities of Artificial Intelligence (AI).
In this case, this course focused on Smart Health Awareness-Claves de la aplicación de la Inteligencia Artificial en salud 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 alternate weeks, with recorded sessions that will be studied autonomously.
Through some examples and experiences we will learn about the challenges and opportunities that Artificial Intelligence offers us 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 current legislation 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 Sacyl managers who wish to learn about the present and future of Artificial Intelligence (AI) in their sector.
The deadline for formalizing admission to the course is January 24, 2025. The candidate selected by the Regional Ministry of Health should fill in the form that appears in the following section. On January 31, candidates who have formalized admission will receive a confirmation message together with the credentials to access the educational platform.
The admissions process is supervised by a joint committee of Sacyl , Merck, IBM and the University of Navarra in which both academic criteria and the healthcare impact of those interested in attending the training will be assessed. .
Assumpta Chacón Moreno
Professional Programs
University of Navarra
31009 Pamplona, Spain
News
15|03|2024
University's Smart Health Awareness program, in partnership with Merck and IBM, awarded at Expoelearning 2024
The course imparts training on the application of artificial intelligence in the field of healthcare
Read more
14|04|2023
Merck, IBM and Tecnun expand agreement from partnership to train healthcare professionals in AI and Big Data
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26|10|2022
The University's Smart Health program, awarded in the second edition of E-nnova Health
200 health sector professionals and managers from all the autonomous communities have been trained in Artificial Intelligence and Big
Read more