Preconference Tutorial 

October 17, 2020, 10:00-11:30 CET Brussels / 16:00-17:30 CNT Beijing

PT2: Findable Accessible Interoperable Reusable (FAIR) Health Data Sets with HL7 FHIR: New Standards to support Health Research

This session will introduce FAIR health data sets and associated maturity models. Attendees will learn about measuring the degree of Findability, Accessibility, Interoperability, and Reusability (FAIR). After introduction to Data FAIRness and the FAIR4Health Project, the FAIRness indicators under the FAIR maturity model developed by RDA will be presented. Then, the FAIRification tools developed in the FAIR4Health project used for distributed data mining will be demonstrated. Finally, the emerging FHIR standards supported by the HL7 exploratory project on HL7 FHIR ways to deliver FAIR health data sets, "FAIRness for HL7 FHIR" will be presented with an invitation to participate and contribute. The session is organized by FAIR4Health project and supported by EFMI, RDA, and HL7 Europe. 

Learning Objectives:

1. Learn about FAIR health data sets and the FAIR4Health Project (www.fair4Health.eu)
2. Experience the use of FAIRification tools in health care
3. Learn about the Reseach Data Alliance and the FAIR maturity model
4. Be informed about the FAIR4FHIR HL7 standards project and how to participate.

Registration: https://us02web.zoom.us/webinar/register/WN_mgsm5cCaS_W7XRFBPwAtVQ

Speakers:

Catherine Chronaki is a computer engineer, vice president and president elect (2020-2022) European Federation for Medical Informatics, Secretary General HL7 Foundation. Catherine has played a key role within National and European digital health projects. Author of 100+ research papers, she has served as Associate Editor IEEE TITB, and on major eHealth conferences. Catherine served the HL7 Board (2008-2012), the eCardiology WG, European Society of Cardiology (2012-2015), and the eHealth Stakeholders group of the European Commission (2013-2022). She was coordinator of the Trillium Bridge and Trillium II on projects advancing adoption of international patient summary standards and eStandards that delivered a standardization roadmap for large scale eHealth deployment in Europe. She is involved in the FHIR4Health project contributing to the certification roadmap from HL7 FHIR perspective. She will moderate the session.

Esther Thea is a nurse-midwife and a PhD student in Medical Informatics (FAIR data principles; evaluating the FAIRness of health data) at the Universitätsmedizin Greifswald. She is visiting researcher at IMISE University of Leipzig, Germany Leipzig, where her work is focussed on testing the FAIR4Health platform from the point of view of client functionality and usability. She completed BSc on Nursing and Public Health at the Kenyatta University in Kenya and continued her master studies in Medical Informatics in Germany. She is coordinator for the European Open Science Cloud COVID-19 Archives project that aims to disseminate simulation studies of COVID‐19 models to the research community as COMBINE archives, and provide fully featured, reproducible COMBINE archives for COVID models and disseminates COVID modelsShe has experience in evaluating the FAIRness of data quality frameworks for medical data. Esther will introduce the concept of FAIR data.

Alicia Martínez-García, PhD. She is a software engineer, researcher at the Institute of Biomedicine of Seville, and executive co-coordinator for the FAIR4Health project at the Andalusian Health Service. FAIR4Health aims to facilitate and encourage the EU Health Research community to apply the FAIR principles, share and reuse datasets derived from publicly funded research initiatives by demonstrating the potential impact on health outcomes and health research. Alicia participates in national and international research projects on interoperability, software engineering, clinical decision support tools, health informatics standards, FAIR principles, and model-driven engineering. She is member of CTN139 committee in AENOR and RDA (Research Data Alliance). Alicia will introduce the FAIR4Health project.

Anil Sinaci is a computer scientist and full-stack software developer working as a principal solutions architect at SRDC Corp. in Ankara, Turkey. He has 10+ years of development experience ranging from ordinary desktop and web applications to cutting-edge research projects. He holds a PhD in Computer Engineering; his research areas include eHealth and eBusiness Infrastructures, Clinical Research Informatics, Data Interoperability, Semantic Web, Service Oriented Architectures, Interoperability Standards, and Conformance and Interoperability Testing. He has actively worked for many European Commission supported research projects such as FAIR4Health, Medolution, POWER2DM, SALUS, IKS, BIVEE, iSURF and HAGRID. He authored many papers published in peer-reviewed journals and conferences. Anil will introduce the FAIR4Health FAIRification tools.

Mert Gençtürk is a computer scientist and full-stack software developer working as a technical manager and researcher at SRDC Corp. in Ankara, Turkey. His research areas include eHealth (national eHealth infrastructures, EHR, PHR, data exchange standards), mHealth, Interoperability, Semantic Web, Data Mining, Machine Learning, Security and Privacy. He has participated in several large-scale R&D projects including PALANTE, C2-SENSE, and FAIR4Health supported by the European Commission. He holds a Master's degree in computer engineering, and conducts his PhD study on development of a novel federated machine learning methodology for privacy-concerned environments in the FAIR4Health Project. Mert will demonstrate FAIR4Health FAIRification tools.

Oya Beyan is a researcher at Fraunhofer Institute for Applied IT and RWTH Aachen University. Her research focuses on methods of data reusability and FAIR data, data-driven transformation and distributed analytics. Her area of expertise is in the semantic web technologies and their application in health care and life sciences. She actively contributes to the national and international initiatives to enable adoption of FAIR principles and develops tools and infrastructures supporting FAIR data. With her interdisciplinary background in informatics, medical informatics and sociology, she focuses on societal reflections of data-driven change. In FAIRplus, Oya contributes to a FAIR Maturity Model to guide organizations to improve their data processes delivering reusable and machine actionable data. Oya will introduce RDA and the FAIR maturity model.

Giorgio Cangioli is technical lead of HL7 Europe and the HL7 FAIR4FHIR Project. Senior Consultant of ICT in Health and Social Care, Degree in Physics, PhD in Energy Engineering, Master in ICT for Radiology. Giorgio has worked in the private sector as Production Manager, QMS Responsible, and R&D Responsible, and has extensive experience in ICT, standards and business process reengineering in health and social care. Giorgio is involved in several telemedicine; teleradiology, social care, primary care, Health Information Exchange, and eGovernment national and European. He assessed Regional eHealth projects for an Italian governmental agency. Giorgio led the epSOS Clinical and Semantic Experts Group and was the Trillium Bridge project manager. He served the HL7 Technical Steering Committee (2012; 2014-2015), authored of DICOM Supp 88, Chair of HL7 Italy and. Giorgio will provide and update on the FAIR4FHIR project and will explain how to participate and contribute.