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 Winter 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, 14 February 2022

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

David Novillo. Head of DMA WHO ER

Vicente Traver. Professor

Llanos Cuenca, Regional Ministry of Health

15:30 – 17:00

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

Vicente Traver. Professor

21:00 – 22:00

Social Dinner

To be determined

Tuesday, 15 February 2022

Day 2 - Technological building blocks for Big Data deployment

09:30 – 11:00

 If it does not fit in an xls,
that is big data

Juan Miguel Garcia. Full Professor

11:00 – 11:15

Coffee break

11:15 – 13:00

Techniques and technologies for big data

Valery Naranjo Ornedo. Full Professor

13:00 – 14:00

Lunch

14:00 – 15:15

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

Enrique Bernal.  MD and Public Health Specialist

15:15 – 15:30

Coffee break

15:30 – 17:00

Case 02. Problem framing- policy implications

Vicente Traver. Professor plus speakers and facilitators

Wednesday, 16 February 2022

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

09:30 – 11:00

Visualisation techniques. Process mining in healthcare – Advanced analytics

Carlos Fernández-Llatas. Senior researcher

Antonio Martínez-Millana. Senior researcher

11:00 – 11:15

Coffee break

11:15 – 13:00

The innovation flow

Vicente Traver. Professor

Health data as strategic asset. Infrastructura 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 good practices (Big Data System demonstration and use cases)

Bernardo Valvidieso. Head of Quality Area Hospital La Fe

Josep Redón. Hospital Clinico

15:15 – 15:30

Coffee break

15:30 – 17:00

Case 03. Identifying the blocks and the technologies

Vicente Traver. Professor plus speakers and facilitators

Thursday, 17 February 2022

Day 4 – Data sources, policy making, Innovation management II

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

Roles and responsibilities of your big data team

Carlos Seaton. Human resources consultant

13:00 – 14:00

Lunch

14:00 – 15:15

Framing AI in an organisation. Strategic goals, usability and ethics

Jan Paul Leuteriz. Fraunhoffer Institute

15:15 – 15:30

Coffee break

15:30 – 17:00

Case 04. Managerial organization of the big data project

Vicente Traver. Professor plus speakers and facilitators

Friday 18 th February

Day 5 – Use cases, trends, perspectives and policies

09:30 – 11:00

Current policies in the WHO/ER

David Novillo. Head of DMA WHO ER

Cristina Bescós – EIT Health Innovation Director

11:00 – 11:15

Coffee break

11:15 – 13:00

Case presentations and feedback from mentors/jury

Wrap up and closing remarks

David Novillo. Head of DMA WHO ER

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).

Juan M. García-Gómez

Juan M García-Gómez is full professor at Universitat Politècnica de València and head of the BDSLab. He focuses his research in data-driven approaches to improving healthcare. He has been the advisor of 6 PhD theses about Clinical Decision Support Systems applied to Brain Tumours, Breast Cancer and Biomedical Data Quality assessment. In 2007, he was visiting researcher at ESAT-KU Leuven. In 2016, he was involved at Farr/IHI-UCL as visiting researcher. His research interests are mainly around Machine Learning techniques for developing Clinical Decision Support Systems (CDSS), the definition of Data Quality metrics for assessing Biomedical repositories and the design of medical applications based on Big Data technologies.

He is author of more than 40 articles published on specialized journals. His work An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems (doi:10.1016/j.cmpb.2012.10.003) was selected as best of medical informatics papers published in 2013, sub-field of Health Information Systems by the International Medical Informatics Association (IMIA) for the IMIA Yearbook 2014. The International Medical Informatics Association has recently selected the paper Saez C, Zurriaga O, Perez-Panades J, Melchor I, Robles M, Garcia-Gomez JM. Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories. J Am Med Inform Assoc 2016;23:1085-95 as one of the four best papers published worldwide in 2016 in the area «Learning from Experience: Secondary Use of Patient Data», the Special Topic of the current IMIA yearbook 2017.

He has coordinated the Work Package about Pattern Recognition of the FP6 EU eTUMOUR project (LSHC-CT-2004- 503094), the predictive analysis of the HealthAgents Project (IST-2004-27214), and the work package about decision support of the FP7 EU Help4Mood (FP7-ICT-2009-4; 248765) and the development of the predictive models in CROWDHEALTH (H2020-SC1-PM-18-2016). He is external reporter at DG Connect in RIA projects.

Valery Naranjo Ornedo

[ … ]

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.

Jan-Paul Leuteritz

[ … ]

Carlos Seaton

Carlos E. Seaton M. is a Ph.D. in Materials Science, discipline where he has done, basic and oriented or applied research, publishing and holding two patents in the area of Chemical Metallurgy.

He has taught and done research at several North American Universities, among them: Michigan Technological University (1983/84), Carnegie Mellon University (1984/1985), and Massachusetts Institute of Technology (1992/1993). Since 1998, Dr. Seaton has been a resident and national of Spain where he has worked, initially, as a Researcher within the Institute for the Management of Knowledge and Innovation (INGENIO) of the Polytechnic University of Valencia.

He has taught Innovation Management, Marketing, Strategic Planning for R+D Organizations and Knowledge management; subjects that he has taught in Venezuela, Spain, Mexico, Perú, Chile, and Indonesia in different Graduate Schools and in International Programs supported by the Spanish Agency for International Cooperation (AECID). In Spain, since 2000 to 2014, he has acted as founder, owner and CEO of consulting firms. Since 2008 he has designed and executes R&D projects concerning the building of digital business ecosystems, acting, also, as a consultant in the areas of Industry 4.0, Digital Transformation and the design and development of Science, Technology and Innovation Ecosystems.

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

[ … ]

Bernardo Valdivieso

Bernardo Valdivieso Martínez established the Big Data and Digital health Platform from the Hospital La Fe Health Research Institute in 2016. He currently holds the position of Quality and Planning Director of the La Fe Hospital and main coordinator of The Area of Hospital at Home and Telemedicine (Health Department Valencia-La Fe). He has a degree in Medicine and Surgery (1999) and a doctorate in Medicine (2000; best qualification “Cum Laude”) both from the University of Valencia.

Besides his experience in Clinic Services Management and Clinic Research he has a Master of Home Hospitalization. He was the president of the Spanish Association of Home Units from 2000 to 2001. Additionally, to this professional activity he has an extensive research and teaching experience in e-Health Care. For instance, he has been professor of the LEAD: Programme in Leadership and Transformation in Health Care of the Deusto University. He has participated in several national and European research projects as Principal Investigator. His research activity related to reengineering of health care processes, healthcare planning and integrated care has been published in peer-reviewed national and international journal and presented in over 200 national and international conferences on the specialty. 

Moreover, he is an internationally renowned speaker. His major research interest is reengineering of health care processes, healthcare planning and integrated care.

fotoRedon

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.

fotoLuisMarco

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.

Cristina Bescós

Mother of three half-German children, including a two-for-one package deal. She has recently been elected as one of the 100 women leaders in Spain (lastop100) and HIMSS Future50 global leader in digital health. PhD in telecom/biomedical engineer. Since 2019 CEO of EIT Health Spain and board member, and recently appointed Director of Innovation of EIT Health, the network of more than 150 top-notch partners covering the complete value chain of health and care innovation.

Previously in the European Space Agency, Hewlett Packard, Telefonica R+D and Philips, where she managed the European Programs in Telehealth and Value-Based Healthcare and developed an extensive career in research, digital health and healthcare transformation.

She has held representation positions at European level in industrial organizations, standardization committees, expert forums and innovation programs in eHealth, telemedicine and management of chronic patients like COCIR, CEN, ITU and European Innovation Partnership in  active and healthy aging.

Combined experience in public research and the private sector in Switzerland, the Netherlands, Germany and Spain, Cristina is currently located in between Madrid and Barcelona.

How to get to

the venue

Ciudad Politécnica de la Innovación

Universidad Politècnica de València

Sala INNOVA

Green Cube - Building 8G
Access A - 4rd floor

Download our meeting guide
for our Winter School
in Valencia – Spain (February, 2022)