About

our course

Big Data describes the vast amount of data in today’s digital society. A well-known, accepted cross-domain definition of Big Data is related to the 3V’s of Big Data stamped by Doug Laney in 2001 to explain data management in 3 dimensions: Volume, Velocity and Variety. Twenty years later more V’s have been added, as Veracity, Value, Validity, and Variability.

The digitalization of health information systems has fostered a new era for healthcare provision and research. The general adoption in health organizations of Electronic Health Data, Digital Imaging, Clinical Prescriptions, Laboratory, Surveillance and Decision Making has brought a plethora of challenges for healthcare professionals, including healthcare managers and policy makers. But, at the same time this amount of data offers a truly opportunity for improving processes, improving monitoring and action policies and providing a better healthcare coverage and health promotion to citizens.

This is particularly relevant in the World Health Organization Regional Office for Europe, too whom Big Data is essential not just for personalised health but as an indispensable resource to support policymakers.

The World Health Organization Regional Office for Europe, through its Division of Information, Evidence, Research and Innovation (DIR), has established the Spring School on “Impact Training on Big Data for Healthcare”, which aims to improve national capacity around Big Data, empowering the attendees not only from a technological perspective but most importantly, from an organizational, ethical and regulatory dimension, addressing the critical aspects for the successful implementation and maintenance of a Health Big Data infrastructure in a healthcare organisation.

The course consists on a five-day training course combinating masterclass by experts and professors, showcase of real use cases of big data in healthcare and the development of a case study, with the support of mentors and facilitators.

Get ready for 5 days of Big Data immersion in the beautiful city of Valencia

Learning outcomes and skills

This course is an introduction to the main dimensions of a Big Data initiative in healthcare. By the end of the course, attendees will understand the implications and the requirements for the successful deployment of a Healthcare Big Data project. Participants will develop a use case around a specific need brought by the participants themselves from their health context, covering holistically all the aspects: organisational, technical, legal, ethical, economical…

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Having a clear view about the specific needs from the leadership, organisational and governance perspectives to boost Big Data in Healthcare

Identifying the key aspects to define a strategy on Big data and strategical aspects

Understanding the technicalities underneath big data and artificial intelligence over big data

Taking advantage of existing policies and how to guarantee compliance

Learning about tools and good practices for narrowing the gap between research and policymaking and focusing on the translation of evidence into policy

Throughout the course, participants will be encouraged to apply what they have learned to a roadmap to deploy a Big Data in Healthcare use case that addresses a specific need from their national health system. We expect that course will result in insights and solutions for improving the national health information systems directly applicable to the participants’ national situations. 

Scheduled

agenda

Monday, 4th November 2024

Day 1 - Introduction

13:30 – 14:15

Registration

14:15 – 15:30

Arrivals
Course Set Up, Meet the instructors, Meet the learners. Introduction

Introduction

Organisational pillars for successful deployment

Keyrellous Adib, Technical Officer,  Data and Digital Health Unit, WHO Regional Office for Europe

Antonio Martínez

15:30 – 17:00

Set up the teams. 
Case 01.
Problem understanding and Definition

Lecture 0.1
Process mining in healthcare – Advanced analytics

Carlos Fernández. Senior researcher

20:00-22:00

Social Dinner

At Restaurante El Rall

Tuesday, 5th November 2024

Day 2 - Data sources, policy making, Innovation management I

09:30 – 11:00

Lectures 1.1
Techniques and technologies for Big Data management

Lectures 1.1
Digital Healthcare Data interoperability

Luis Marco Ruiz
Nasjonalt senter for e-helseforskning

11:00 – 11:30

Coffee break

11:30 – 13:00

Lecture 1.2.
Artificial Intelligence for Healthcare Management                

13:00 – 14:30

Lunch

14:30 – 15:15

Lecture 1.3.
Healthcare workforce preparedness for digital healthcare systems. 

15:15 – 15:30

Coffee break

15:30 – 17:00

Exercise 1
Interoperability 

Antonio Martínez. Professor plus speakers and facilitators

Wednesday, 6th November 2024

Day 3 - Data sources, policy making, Innovation management II

09:30 – 11:00

Lecture 2.1.
Techniques and technologies for Big Data management

11:00 – 11:30

Coffee break

11:30 – 13:00

Lecture 2.2
Real Cases for the application of Digital Health in Portugal

Catia Sousa , Head of Global Digital Health and International Affairs Unit at Shared Services for Ministry of Health (SPMS, EPE), Portugal

13:00 – 14:00

Lunch

14:00 – 15:15

Big Data System demonstration and use cases.

 

Josep RedónInstituto de Investigación Sanitaria (INCLIVA)

15:15 – 15:30

Coffee break

15:30 – 17:00

Exercise 2
AI & Dashboards

Antonio Martínez. Professor plus speakers and facilitators

Thursday, 7th November 2024

Day 4 – Technological building blocks for Big Data deployment

09:30 – 11:00

Lectures 3.1
Adoption of AI into National Healthcare Systems and Healthcare Policies.

11:00 – 11:15

Coffee break

11:15 – 13:00

Lectures 3.2
Health Information Systems and the Preparation of the European Health data Space

13:00 – 14:00

Lunch

14:00 – 15:15

Lecture 3.3
Sustainable innovation adoption 

15:15 – 15:30

Coffee break

15:30 – 17:00

Exercise 3
Adoption

Friday 8th November 2024

Day 5 – Use cases, trends, perspectives and policies

09:30 – 11:00

KeyNote
Evidence based health policy making.
 From data to the decision 

11:00 – 11:15

Coffee break

11:15 – 13:00

Closing Lecture.
Current policies in the WHO/ER.

13:00 – 15:00

Social Lunch in Restaurante La Ferradura

The agenda and speakers are subject to possible changes
depending on the needs of the organization and possible unforeseen events.
Stay updated on this page.

Meet professional trainers

Our speakers

Vicente Traver

PhD in Telecommunications Engineering in Valencia Polytechnic University, his research works and technological transference focuses on telemedicine and e-health. Director of  SABIEN group (Technological Innovation for Health and Well-being) in ITACA research institute. Professor in Valencia Polytechnic University, he has lectured on ICTs and health subjects since 2001. 

He is a member of the Academic Commission of the University Masters of Biomedical Engineering, which he also lectures for. He has participated in more than thirty European and national RD+I project and fifteen research agreements with companies in the telemedicine and e-health sector. Author of more than 50 research articles published in international journals and keynote speaker in more than a hundred national and international conferences. An expert in FENIN for the Study of Future Technology for e-Health, he is also founder of various companies in the Health and Well-being sector. He acts as coordinator of the research micro-cluster ‘Innovative Technologies for Health and Active and Healthy Aging’.

Editor of the book ‘The e-patient and social media’ endorsed by the Vodafone Foundation, he has also edited various monographics on health and social media for The Medical Journal. Dr Traver Salcedo organised the IEEE Congress for Biomedical Health Informatics in 2014 along with many other congresses and international workshops

Antonio Martínez-Millana

Bachelor in Telecommunications Engineering (2009), Master in Biomedical Engineering (2013) and Ph.D. in Technologies for Health and Wellbeing (2017) by the Universitat Politècnica de València. Senior researcher in ITACA institute of the Universitat Politècnica de València in Digital Health and Digital Systems, and lecturer in the Department of Electronic Engineering in Biomedical Systems for Disease Monitoring since 2016. Antonio has supervised and co-supervised more than 15 Bachelor Thesis and Master Thesis from Telecommunication, Computer Science and Biomedical Engineering degrees.

More than 10 years of expertise in private companies and public research institutes in several international projects for eHealth and Social and Demographic challenges. The research focus is in mobile health and use of wearables in chronic conditions, integrating technologies for data management, data processing and data visualization.

The track record includes more than 10 EU-funded projects, 3 national grants and several publications in high impact factor journals and international conferences. Currently Antonio has more than 23 publications in indexed journals (PLoS ONE, JAMIA, JMIR, Journal of Medical Systems, Sensors, etc) and 40+ conference publications in IEEE EMBS, BMP and IEEE CBMS, among others.

Antonio is active reviewer of EU project proposals in HorizonEurope, IMI2, Eureka and national project applications for research funds (Republic of Serbia and Spain).

Enrique Bernal Delgado

Enrique Bernal-Delgado MD PhD is also Master in Public Health and Master in Health Economics. After a period as Visiting Scholar at The Dartmouth Institute (Dartmouth Medical School, NH, USA), he founded the Data Sciences for Health Services and Policy research group at the Institute for Health Sciences in Aragon (IACS) where currently holds the position of senior scientist

His research areas are a) the study of unwarranted variations in health systems performance (i.e., the analysis of equity, utilization, quality and safety, and effectiveness and efficiency) included the policy analysis of those health systems; b) the comparative effectiveness of complex interventions delivered to chronic and fragile populations; and, c) the development of methodology for the reuse of massive real world data.

Main translation into policy activities are the systematic discovery and publication of the Atlas of Variations in Healthcare is Spain (www.atlasvpm.org); and, his  contribution in the development of the European Health Research and Innovation Cloud (https://healthycloud.eu) and to the European Health Data Space (https://tehdas.eu) , both meant the systematic reuse of health data for research, regulation and policy making.

Carlos Fernández-Llatas

Dr. Carlos Fernández-Llatas is Deputy Director at SABIEN Group at ITACA institute at Universitat Politècnica de València (Spain), Afiliated Researcher at Karolinska Institutet (Sweden) and Permanent Researcher at the joint research unit in ICT applied to Reengineering socio-sanitary process at Hospital La Fe of Valencia. He received the PhD degree in Computer Science in the Pattern Recognition and Artificial Intelligence Program of that university. He is member of the IEEE CIS Task Force on Process Mining. He participated in more than 30 projects through IV, V VI and VII European Framework program, H2020 program and Spanish Government funded projects.

He has published more than 100 scientific papers. He has been member of the Organizing Committee in more that 10 international conferences and member of the Scientific Committee in more than 30. He is reviewer in several Indexed journals in Bioengineering and Medical Informatics. His research is mainly focused in the use and promotion of Process Mining technologies as well as Process Management, representation and execution techniques for their application in health and human behaviour modelling.

Georgi Chaltikyan

Professor and Head of Digital Health | Deggendorf Institute of Technology | German

Georgi Chaltikyan, M.D., Ph.D., is a Professor of Digital Health, Global and International Health Care at European Campus Rottal-Inn (ECRI), a branch of Deggendorf Institute of Technology (DIT-ECRI) in Bavaria, Germany, and Founding President of Armenian Association of Digital Health (AADH).

A graduate of the Yerevan State Medical University in Armenia, he has been trained as a general surgeon and spent about 20 years in clinical practice in general and laparoscopic surgery. He has extensive experience in healthcare education, research, and management. From 2001 to 2009 he served as an Associate Professor of Surgery at Yerevan State Medical University. In 2009-2010 he was a Fulbright Visiting Scholar at Keck School of Medicine, the University of Southern California in Los Angeles, USA. From 2010 to 2015 he worked in private surgical practice at a large multi-profile hospital. He has more than 12 years of work experience in the field of Digital Health. As the founding president of the NGO Armenian Association of Digital Health, he has been instrumental in the design and implementation of a number of successful Digital Health projects with international participation.

Prof. Chaltikyan joined the faculty at ECRI at its launch in 2015; he is the program head of Master of Digital Health (MDH) and is responsible for other study courses in healthcare and Digital Health. He also leads international collaborative projects and programs, such as DIT-ECRI’s institutional membership in and partnership with such global organizations as HIMSS. He has publications on different aspects of Digital Health, is involved in several research and development projects in the field, and is a keynote speaker at international conferences. His main research focus is on Global Digital Health and Digital Health Education. Since 2019 he is a member of the WHO Digital Health Roster of Experts. He is a co-founder and head of the large-scale Armenian Digital Health Initiative.

Rocío del Amor

Universitat Politècnica de València | Institute for Research and Innovation in Bioengineering (i3B)

Rocío holds a Bachelor’s degree in Biomedical Engineering (2019), a Master’s degree in Biomedical Engineering (2020) and a PhD in Health and Wellness Technologies (2023) from the Universitat Politècnica de València.

She is currently working as a senior researcher at the CVBLAB of the Universitat Politècnica de València and is specialised in the development of cutting-edge systems that leverage artificial intelligence in various sectors, such as healthcare, environmental sustainability and industrial applications. In addition, Rocío is co-founder of Artikode Intelligence, a spin-off created in 2023, dedicated to the deployment of advanced artificial intelligence solutions.

Rocío also contributes as a Collaborating Professor in the Department of Telecommunications and Applied Statistics. Over the years, Rocío has demonstrated a commitment to mentoring and has supervised or co-supervised more than 10 bachelor and master theses in Telecommunications and Biomedical Engineering.

Rocío’s research focuses on innovative artificial intelligence techniques, from supervised and semi-supervised learning to contrastive learning, with special emphasis on ensuring the interpretability of these systems. In particular, Rocío has contributed to 22 publications in high impact factor journals and has presented research results at 19 national and international conferences.

 

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Luis Marco Ruiz

Luis Marco-Ruiz, PhD is a senior researcher and data engineer specialized in the implementation of innovative solutions for secondary use of healthcare data for biomedical research. Dr. Marco-Ruiz joined the Norwegian Centre for E-health Research (NSE) in 2013 where he has worked both in national and international initiatives towards facilitating the use of clinical data for discovering new medical evidence.

Among others, he has advised the Norwegian Ministry of Health and the German consortium HiGHmed on the adoption of clinical information standards and biomedical ontologies for nation-wide health research networks. The outbreak of the SARS-CoV-2 pandemic redirected his work towards the development of new methods to enable rapid data reuse for gaining knowledge on SARS-CoV-2 and was solution architect in the development of the German National Covid Research Infrastructure (CODEX). Currently, Dr. Marco-Ruiz is a member of the IMIA Working Group for Opensource Health Informatics and a chair of the openEHR Education Program where he actively looks for new insights into the design of open digital health ecosystems.

Catia Sousa de Pinto

Global Digital Health, Head of International Affairs at SPMS, EPE – Lisboa, Lisboa, Portugal

Jan-Paul Leuteritz

Researcher at Fraunhofer-Institute for Industrial Engineering (Fraunhofer IAO)

Usability-Professional / UX researcher with strong interests in research methods and Human Resources.

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Josep Redón

Professor of Medicine at the University of Valencia Researcher Emeritus, INCLIVA Research Institute, University of Valencia.

Graduated in Medicine and PhD in the Medical School of the University of Valencia (1968-1974). Training in Internal Medicine and Fellowship in Nephrology and Hypertension by the Northwestern University, Chicago. Scientific Director of the Research Institute INCLIVA from 2009 to 2017. President of the European Society of Hypertension (2011-2013). Associate Editor of Journal Hypertension. Awarded with the title of Doctor Honoris Causa by the University of Carol Davila, Bucharest and the Folkow Award in Research of the ESH.

Ryan Dos Santos

Technical Officer – Digital Health at World Health Organization

Worked for many years leading Information Technology management in some of the larger companies in Guyana, South America, where I have spearheaded implementations of complex IT systems. Subsequently joined PAHO/WHO in the Americas in 2008, first in IT, then increasingly in Digital Health and health systems development at the county level, including digital health strategy development and platform implementations. Background in computer science and eHealth management.

Expert in Digital Health development as well as Systems Analysis and Design, and Information and project management

María Eugenia Gas López

Maria-Eugenia Gas López graduated in Biochemistry and obtained her PhD in Genetics from the University of Valencia in 1998 and 2007, respectively. She has developed her research activity in research groups of international and national prestige, such as the Institute of Genetics and Molecular and Cellular Biology (France), the Institute of Biotechnology of the University of Helsinki (Finland) and the Biomedical Research Park of Barcelona (Pompeu Fabra University). She currently works at the Big Data IA and Biostatistics Platform led by Dr. Valdivieso-Martínez where she works as a researcher and manager of several national and European e-Health projects.

Keyrellous Adib

Keyrellous Adib, a technical officer responsible for data science and digital health at the Data and Digital Health team (DDH) in the Division of Country Health Policies and Systems (CPS) at WHO regional office for Europe. His current role involves providing technical support to 53 Member States in the area of data analytics and digitization of health information systems.

Ryan Dos Santos

Technical Officer – Digital Health at World Health Organization

Worked for many years leading Information Technology management in some of the larger companies in Guyana, South America, where I have spearheaded implementations of complex IT systems. Subsequently joined PAHO/WHO in the Americas in 2008, first in IT, then increasingly in Digital Health and health systems development at the county level, including digital health strategy development and platform implementations. Background in computer science and eHealth management.

Expert in Digital Health development as well as Systems Analysis and Design, and Information and project management

How to get to

the venue

Valencia, Spain

AC Hotel Valencia

Av. de França, 67, Camins al Grau,
46023 València

Download our meeting guide for our Second 2004 edition training in Valencia – Spain (November, 2024)