Training Big Data

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…

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

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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, 27March 2023

Day 1 - Introduction

13:30 – 14:30

Registration

14:30 – 15:30

Welcome and opening remarks. Course Set Up, Meet the instructors, Meet the learners.

Introduction

Organisational pillars for successful deployment

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

Vicente Traver. Professor

Llanos Cuenca, Regional Ministry of Health

15:30 – 17:00

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

Antonio Martinez. Professor plus speakers and facilitators

19:30-21:00

Social Dinner

At Restaurante El Rall

Tuesday, 28 March 2023

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

09:30 – 11:00

Regulatory issues on big data and health data.

Lucas Sanjuan. Regulatory consultant

11:00 – 11:15

Coffee break

11:15 – 13:00

Evidence-based policy-making. From data to the decision.

Enrique Bernal.  MD and Public Health Specialist

13:00 – 14:00

Lunch

14:00 – 15:15

Lessons learnt and experiences about the deployment of Big Data solutions in a national context.

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

15:15 – 15:30

Coffee break

15:30 – 17:00

Case 02. Problem framing-policy implications. Policy and regulations.

Antonio Martínez. Professor plus speakers and facilitators

Wednesday, 29 March 2023

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

09:30 – 11:00

Introduction to Human-centred AI and the innovation flow

Vicente Traver. Professor

11:00 – 11:15

Coffee break

11:15 – 13:00

Health data as strategic asset. Infrastructure and lessons learnt.

Luis Marco Ruiz
Nasjonalt senter for e-helseforskning

13:00 – 14:00

Lunch

14:00 – 15:15

Hospital La Fe and Clinico: Big Data System demonstration and use cases.

María Eugenia Gas. Senior Researcher Hospital Universitari i Politecnic La Fe

Fernando Martínez. Professor, Hospital Clínico Universitario Valencia

15:15 – 15:30

Coffee break

15:30 – 17:00

Case 03. Managerial organization of the big data project (Scope, resources and time for a big data project). How to deploy the project (human resources)               

Antonio Martínez. Professor plus speakers and facilitators

Thursday, 30 March 2023

Day 4 – Technological building blocks for Big Data deployment

09:30 – 11:00

Techniques and technologies for big data

Rocio del Amor. Senior researcher.

11:00 – 11:15

Coffee break

11:15 – 13:00

Visualization. Big Data.

Antonio Martinez. Senior researcher

13:00 – 14:00

Lunch

14:00 – 15:15

Process mining in healthcare

Carlos Fernández. Senior researcher

 

15:15 – 15:30

Coffee break

15:30 – 17:00

Case 04. Identifying the blocks and the technologies. Technologies, tools and infrastructures.               

Antonio Martinez. Professor plus speakers and facilitator

Roberto Tornero. Junior researcher

Friday 31 March 2023

Day 5 – Use cases, trends, perspectives and policies

09:30 – 11:00

Current policies in the WHO/ER

David Novillo

11:00 – 11:15

Coffee break

11:15 – 13:00

Case presentations and feedback from mentors/jury

Wrap up and closing remarks

Keyrellous Adib

13:00 – 14:00

Social Lunch in Restaurante La Ferradura

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.

Lucas Sanjuan

Lucas Sanjuán Víñas is a Telecommunication engineer with a master’s in business administration that has worked on the medical device field fore more than 15 years.

During his career has developed specialized in regulatory and marketing of health solutions and works at ITI as Head of Health Competitive intelligence and Partnerships.

Within this role, he and ITI’s  team:

  • implement and maintain quality management systems (ISO 13485) and audit support.
  • Consult to obtain CE marking (MDD and MDR) and audit support.
  • Risk management consultant according to ISO 14971.
  • Preparation of technical documentation for Medical Device (Class I, IIa, IIb, Class III).
  • Development of post-marketing surveillance plans.
  • Training in Medical Device according to MDR.
  • – Training in Medical Devices development tools and methodologies. (IEC 62304).
  • Training in Health SW development tools and methodologies (IEC 82304).
  • Training in SaMD development tools and methodologies.

David Novillo

David Novillo has over 15 years of experience in senior and leadership positions working in public health in the data and digital domains. Currently, he works as unit head at the World Health Organization, coordinating the digital health flagship initiative and leading the development and implementation of a monitoring and evaluation framework for health and health systems within the European Region. Recipient of the WHO Director-General’s Award for Excellence 2022.

His personal and professional experience have taught him the following about himself: “I put the countries at the center, which I do with a data-driven and evidence-based approach when possible. I can execute complex and large projects at the national and regional level in a timely and high-quality manner. I can build, lead and coordinate large cross-cutting teams, always promoting a team work spirit and a positive and respectful work environment. I enjoy learning from experiences, especially from others, and staying calm and constructive when faced with adversity.”

His intellectual curiosity has driven him to be a lifelong learner. He obtained his Masters and Ph.D. in Information Sciences from the University Carlos III of Madrid (UC3M), and his doctoral dissertation was awarded Outstanding Thesis by the School of Information Science. He also received a Master’s in Public Health from the University of Bordeaux and the Public University of Navarre, and he completed several Certificate Programs in digital transformation and public health informatics. In addition, he sits on the editorial board of the International Journal of Medical Informatics, and he serves pro bono as an Honorary Senior Research Fellow at University College London and as an adjunct professor at the University of Utah.

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.

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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 Pinto

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

How to get to

the venue

Hotel Valencia Center

Valencia, Spain

Hotel Valencia Center

Av. de França, 33, 46023 València

Download our meeting guide
for our Spring School
in Valencia – Spain (March, 2023)