image-course
Justificación

no aplica

Value proposal

To understand the convergence of emerging technologies in the digital transformation of health services and social inclusion for the elderly, aiming for healthy aging and autonomy in society (integrating different dimensions of inclusion, ethics, sustainability, and their interaction with the digital system, considering their global and regional socio-economic impact).
The course aims to promote digital transformation processes, particularly through the efficiency of computer-assisted interventions in the modernization of health services. This occurs within an ecosystem where multiple disciplines converge for the comprehensive care of the elderly, incorporating tools and developing innovative technologies. These are oriented towards providing digital solutions for personalized support, ensuring the physical and emotional well-being of older adults.
Various sciences come together to understand the functional models of the human brain from cognitive, physiological, and emotional perspectives, and the role of engineering in solving problems based on this understanding using new data processing trends.
Present to the participants, from different disciplinary perspectives, the most successful emerging models of digital transformation globally in elderly care and the latest technology trends in the digital ecosystem. This includes considerations of cybersecurity, connectivity, interoperability, cloud services, and intelligent models supporting decisions for healthy aging, presented by our partners: Scientific Societies IFMBE, CORAL, IEEE/EMBS, allowing participants to interact with SIEMENS, IBM, Balum, Podoactiva, WAPS, 4.0 Robotics, HAT (Human Assistive Technologies), the Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, FLUKE (SED & GAD), UBIQUO, PROCAPS, and Microsoft through online workshops using their tools.

Objetivos
General objective

Present to the participants the convergence processes of emerging technologies in the digital transformation of health services and social inclusion for the elderly, considering cybersecurity, connectivity, interoperability, cloud services, and intelligent models supporting decisions for healthy aging and the inclusion of the elderly in society.

Specific objectives
  • Identify the challenges of digital transformation processes in health services for the comprehensive management of the elderly.

  • Promote innovation for the development and integration of emerging technologies in digital health ecosystems using new trends in data management, agile methodologies, engineering design, and the integration of IoT, telemedicine, process automation, and service prototyping with impact indicators transferable to a real business context.

  • Promote innovation for the development and integration of emerging technologies in digital health ecosystems using new trends in data management, agile methodologies, engineering design, and the integration of IoT, telemedicine, process automation, and service prototyping with impact indicators transferable to a real business context.

Targeted to
Postgraduate, master's, and undergraduate students in Bioengineering, Electronic Engineering, Systems Engineering, Mechatronics, Industrial Engineering, Data Science programs, and professionals in the healthcare field, healthcare administration, and related areas.
Requisitos

no aplica

Methodology
Master sessions, hybrid modality, interactive innovation labs and workshops, agile methodologies, and entrepreneurship, case studies, in-person and virtual visits to specialized laboratories, Hackathon using IBM's emerging technologies and partner companies, cultural integration event.
Academic content

Módule 1. Introduction

  • Digital transformation processes for the healthcare ecosystem of the elderly and the formulation of quality services supported by emerging technologies.

  • The elderly as holistic beings, their needs, chronic and neurological diseases, supported by emerging digital technologies and their remote management.

  • Trends in digital transformation models for the well-being of physical, mental health, and autonomy of the elderly.

  • Workshop: PUJ Innovation Ecosystem.

  • Workshop: Agile framework for health technology development.

  • Workshop: Applications of AI-supported data management models in healthcare.

  • Workshop: Cybersecurity in healthcare.


Module 2. Data Acquisition and Processing for Digital Ecosystems

  • Challenges of digital transformation in data management in elderly healthcare services.

  • Digital ecosystem in chronic diseases (diabetes, hypertension, respiratory, cardiovascular, and cancer).

  • Digital ecosystem of neurological diseases and muscle disorders.

  • Digital ecosystem of mental illnesses.

  • IBM Workshop Digital Transformation (Watson Platform, Blockchain, Intelligent Assistants).

Module 3. Connectivity / Standards / Digital Services

  • Presentation and analysis of emerging technologies applied to home and remote care (connectivity, interoperability, cybersecurity, and automation models of industry 4.0).

  • Challenges of interaction between IoMT, eHealth, Telemedicine, biorobotics, medical devices, sensors, and data processing and cleansing techniques to ensure efficiency and safety in information systems used in healthcare.

  • The importance of telemedicine in digital transformation and interaction with the elderly, their family, and the specialist.

  • Technologies for remote rehabilitation of motor and cognitive impairments in the elderly (integration of emerging technologies and process automation).

  • Panel: Challenges in bioethics, regulation of medical devices, and cybersecurity..

Module 4. Digital Transformation Processes, Consideration for Prototyping Health Services (Sustainability and Inclusion)

  • Models and methodologies of design and innovation (agile methodologies, design thinking, fourth industrial revolution trends, business models, management indicators).

  • Methodologies and strategies for designing low-cost, high-impact digital products for the elderly.

  • Workshop: Effectiveness of computer-assisted intervention.

  • Digital neuromarketing strategies.

  • Workshop: Challenges and Innovation (cases studies).



Module 5. Bringing Innovation to Digital Transformation of Elderly Care and Inclusion through Prototyping Health Services Integrating Emerging Technologies in a Secure Digital Environment.

  • Implementation of low-cost products for the digital services ecosystem for the elderly.

  • Workshop: Hackathon Experience. Solutions for intelligent health technology and data management systems for the digital ecosystem of the elderly.

Conferencistas
no aplica
...
no aplica
no aplica
no aplica
...
no aplica
no aplica
no aplica
...
no aplica
no aplica
no aplica
...
Marisol Cano Busquets
no aplica
no aplica
Professors
  • 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. Shankar M. Krishnan, Vice President IUPESM, Past-president 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 Committee and Chair Students & Recent Graduates of IFMBE.

  • 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. Martinez. BME, MENG, Electrical Engineering Department, UAM Iztapalapa, Mexico, Clinical Engineering Division Chair of IFMBE.

  • Dr. Eduardo Guillermo Pinos Vélez, Universidad Politécnica Salesiana, Ecuador.

  • Ing. Alvaro Rios Poveda, CEO at Human Assistive Technologies, Startup Mentor-Seedstars, Mentor - IEEE EMBS. 

  • Dra. Nubia Arroyo, Colombian Association of Optometry.

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

  • Dr. Juan Carlos Parra M.D, Specialist of Elderly Health Care.

Certificado

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

$1.350.000

no aplica

no aplica

no aplica

Live Virtual Classes:
Tuesday to Friday from 8:00 a.m. to 5:00 p.m.

NIVEL
Advanced
DURACIÓN
32 HOURS
TUTORÍA
Tutoring
INICIO
July 02 de 2024
FINALIZA
no aplica

*** Students who register through Continuing Education will not receive credit recognition. If they require credits, they must register through the faculty's secretary and validate the program costs, as it will be subject to the credit value determined by the faculty.

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.