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Program presentation:

The summer school was designed to bring together experts, students, companies, and researchers in an innovation ecosystem focused on the development of emerging technologies for the empowerment of older adults in healthcare and their social inclusion. The event offers a unique space for collaboration between industry, academia, and the healthcare sector, allowing companies to showcase their innovative technologies, generate strategic alliances, and enhance their impact in the digital health market. It is an opportunity to learn about the latest advances, methods, and challenges in the application of artificial intelligence, machine learning, robotics, blockchain, telemedicine, diagnostic imaging, digital health, and medical devices applied to the care and inclusion of older adults.

It is a practical experience, based on real-life case studies implementing emerging technologies through workshops and laboratories where participants will learn to apply artificial intelligence (AI), machine learning, robotics, telemedicine, blockchain, and digital health to senior care, integrated into a sustainable service within the healthcare ecosystem. During the Summer School, a hackathon and innovation challenges will be held to promote the creative process and develop real-life team solutions in interdisciplinary groups for the comprehensive well-being of seniors, with expert mentoring and prizes for the best ideas for future employment and entrepreneurship opportunities. This course is focused on promoting the integration of the different disciplines involved in senior healthcare and inclusion, as well as establishing international relationships for the development of global projects in the region.

Value proposition

The course aims to integrate current healthcare models with digital technologies, where understanding older adults in all their dimensions is crucial to properly utilizing emerging technologies in their care and social inclusion.

Factors such as cybersecurity, connectivity, interoperability, cloud services, and smart models must be considered to support decisions that promote healthy aging. Digital transformation must facilitate the autonomy of older adults, providing digital solutions that support their physical and emotional well-being.

The integration of diverse disciplines, such as health sciences, social sciences, and engineering, is promoted to address real-life problems faced by older adults. This approach utilizes innovative strategies supported by practical workshops, introducing them to technologies with the support of the clinical simulation center of the Faculties of Medicine and Nursing, and the modern laboratory infrastructure of the Faculty of Engineering of the Pontificia Universidad Javeriana.

It is essential that the inclusion and use of technologies promote good self-care and patient safety practices, taking into account ethical considerations, the protection of sensitive data, and compliance with the current regulatory framework. Furthermore, these technologies must be accessible from all levels within the organizations that make up the digital health ecosystem.

Objetivos
General Objective

The objective of the Summer School is to introduce participants to the convergence processes of emerging technologies that drive the digital transformation of healthcare services and the social inclusion of older adults.

The initiative seeks to strengthen this care through the use of digital health ecosystems and advanced technologies, considering key elements such as cybersecurity, connectivity, interoperability, cloud services, and intelligent models. All of this is intended to support decision-making aimed at promoting healthy aging and greater integration of older adults into society.

Specific objectives

Promote Knowledge of Emerging Technologies by training participants in understanding and using technologies that facilitate the care and attention of older adults in the context of digital health.

Create interdisciplinary collaboration networks, establishing connections between different disciplines and professionals to foster a comprehensive approach to older adult care, promoting the exchange of knowledge and experiences.

Develop cybersecurity and connectivity skills by providing participants with the necessary tools to ensure security and connectivity when using digital technologies, ensuring data protection and accessibility for older adults.

Promote Service Interoperability by demonstrating to participants the importance of interoperability in healthcare services, facilitating the integration of different platforms and systems for more efficient and coordinated care.

Implement Smart Care Models by training participants in the use of models that support decision-making in older adult care, improving quality of life and promoting healthy aging.

Promote the social inclusion of older adults through strategies that foster the autonomy of older adults in their interactions within the community, using digital technologies that facilitate their active participation and empowerment.

Addressed to:
Students and young professionals in engineering, medicine, nursing, public health, design, computer science, and related fields. Entrepreneurs with innovative ideas in technology and healthcare. People interested in digital transformation applied to the well-being of older adults.
Requisitos

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Methodology
Plenary sessions, hybrid panel discussions, Living Labs for innovation and new product development, agile methodologies and entrepreneurship, case studies, in-person and virtual visits to specialized laboratories, a hackathon using emerging technologies and partner companies, and a networking event for students and seniors.
Academic content

Module 1: Future Technologies: Innovation in the Service of Older Adults:

Description: 
 In this module, students will explore emerging technologies applied to older adult care, such as telemedicine, wearable devices, artificial intelligence (AI) and the Internet of Things (IoT), blockchain, medical device design and evaluation, and health service models. Additionally, they will learn about the technical operation of these tools and their impact on medical care and health monitoring for older adults.

Module 2: Real-life case studies from a multidisciplinary perspective. Working together for comprehensive care for older adults.

Description:  This module emphasizes the importance of a collaborative approach across disciplines for comprehensive care for older adults within the digital health ecosystem. Students will learn to identify the role of engineers, physicians, nurses, psychologists, and other professionals in managing physical and mental illnesses and integrating emerging technologies.

Module 3: Cybersecurity and Connectivity: Strategies to Protect Older Adult Data in the Digital Ecosystem:

Description: 
 Cybersecurity is crucial when handling sensitive health data. Students will learn how to ensure the protection of older adult information and how to implement secure connectivity solutions on digital health platforms.

Module 4: Automation of AI-supported Health Services: The Key to Healthy, Articulated and Sustainable Care:

Description: 
 This module introduces interoperability in digital health and how different systems can work together to empower older adults in their self-care and disease prevention to prolong their productive life and social inclusion.

Module 5: Artificial Intelligence in Healthcare: The Future of Elder Care:
Description : This module focuses on the use of artificial intelligence (AI) models to improve elderly care. Students will learn to develop and implement intelligent models that assist in decision-making, disease prediction, and care personalization.

This integrated approach allows students to not only understand emerging technologies from a technical perspective, but also gain direct, hands-on experience working with disease management experts and older adults in real-world settings.

Conferencistas
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Marisol Cano Busquets
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Speakers
  • Prof. Ratko Magjarevic, University of Zagreb, Croatia, Faculty of Electrical Engineering and Computing, President of IFMBE

  • Prof. Kan Pin Lin, Chungyuan Christian University, Chinese Taipei, IFMBE Vice-president.

  • Prof. Piotr Ładyżyński, Director of Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Chair Industry Committee of IFMBE.

  • Prof. Martha Zequera, Department of Electronic Engineering, Pontificia Universidad Javeriana, Colombia, Senior member of IEEE-EMBS, AdCom CORAL, AC member. Chair of Education and Acreditation Recent Graduates of IFMBE.Committee and Chair Students & Recent Graduates of IFMBE.

  • Dr. Michael Javier Cieza Terrones, Head of Biomedical Engineering, Cayetano Heredia University of Peru

  • Dr. Leonar Aguilar, Director of the Clinical Simulation Center, Pontificia Universidad Javeriana, School of Medicine.

  • Esperanza Peña Torres, Dean of the Faculty of Nursing, Pontifical Javeriana University,

  • Dra. Nubia Arroyo, Colombian Association of Optometry

  • Prof. Virginia Laura Ballarín, Department of Electronic Engineering, National University of Mar del Plata, Argentina, Vicepresident of CORAL, AC member of IFMBE.

  • Luis Miguel Zamudio Fuentes, National Polytechnic Institute, Ensenada Scientific Research and Higher Education Center, Candidate to Ph.D.

  • Prof. Fabiola M. Martínez. BME, MENG, Electrical EngineeringDepartment, UAM Iztapalapa, Mexico, Clinical Engineering Division Chair of IFMBE.

  • Dr. Eduardo Guillermo Pinos Vélez, Salesian Polytechnic University, Ecuador.

  • Rosa Itzel Flores Luna, Associate Professor and PhD Candidate, National Autonomous University of Mexico

El comité académico se reserva el derecho de modificar la asignación de conferencistas
Certificado

Digital certification will be granted to those who have completed at least 80% of the scheduled activities.

$1.600.000

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In-person Classes:

  • Tuesday, June 24th from 2:00 p.m. to 6:00 p.m.

  • Wednesday, June 25th to Friday, June 27th from 8:00 a.m. to 6:00 p.m.

  • Saturday, June 28th from 8:00 a.m. to 12:00 p.m.

NIVEL
Advanced
DURACIÓN
32 HOURS
TUTORÍA
Tutoring
INICIO
July 24 de 2025
FINALIZA
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INVERSIÓN DESCUENTOS

Descuentos
4% For early payment: This discount is the only one that can be accumulated and applies if payment is made one month before the program starts.
10% For being a graduate or currently enrolled student (undergraduate or postgraduate) at Universidad Javeriana.
10% For affiliation to the Cafam compensation fund.
15% For groups of 3 to 5 participants in the same program.
20% For groups of 6 participants in the same program and on the third consecutive diploma course.

Opening and Start Date: The opening and start date of the program will depend on the minimum number of registered participants established by the University.
Certification: Certification will be awarded to those who have completed at least 80% of the scheduled activities in the classroom.
Payment Method: Cash, cashier's check, credit card (we accept all cards, invoicing).

Valid for Colombia:
**Art. 92 Law 30 of 1992 - Higher Education Institutions are not responsible for the
VAT
**Number 6 of Art. 476 Tax Statute (ET) - Services excluded from sales tax.