The Journey of Data: from Collection to Impact
The use of big data has the potential to revolutionize the way we approach healthcare. With the increasing availability of healthcare data, we can now leverage this data to gain new insights into disease prevention, diagnosis, and treatment.
Practical information:
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Want to register?
- Prerequisites: Some general knowledge or experience in healthcare, data analysis, or related fields would be beneficial. Basic familiarity with concepts such as data acquisition, data preprocessing, and statistical analysis would be helpful for participants to fully engage with the content covered in the sessions.
- Price: free
Georganiseerd door:
This Summer School on "Big Data in Health and Care" provides an excellent opportunity to gain a comprehensive understanding of these topics, from data acquisition and preprocessing to analysis and governance. Our Summer School combines:
- Invited lectures
- Informative sessions
- Breakout sessions
- Dynamic and engaging
By participating in this course, you'll be equipped with the knowledge and skills to harness the power of big data in healthcare, making a meaningful impact on patient outcomes and the healthcare industry as a whole.
Programme
Monday 22/05/2023
Session 1: Data Saves Lives (9:00 - 12:00)
The Promise of using Big Data in Health & Care
#StartWithWhy - We kick-start the summer school by exploring the transformative potential of big data in healthcare. From improving patient outcomes to reducing healthcare costs, big data has the potential to revolutionize the way we approach healthcare. We will explore inspiring success stories of how the use of health data has already transformed our healthcare system, showcasing real-world examples of big data in action. By the end of this session, you'll have a deeper understanding of the importance of big data in healthcare and how it's helping to save lives.
Session 2: Breaking Barriers (14:00 - 17:00)
Exploring the Challenges related to Big Data in Health & Care
This session will explore the barriers that are preventing us from fully realizing the potential of cutting-edge technologies such as big data and artificial intelligence (AI). These barriers may include issues related to data privacy and security, ethical concerns, technical limitations, and societal and cultural factors. We provide an opportunity for participants to share their perspectives on these issues, exchange ideas, and explore potential solutions to overcome the barriers. By the end of the session, participants will have a better understanding of the challenges associated with big data and AI, as well as ideas for potential paths forward to overcome these barriers moving forward.
Tuesday 23/05/2023
Session 3: Mastering Data Integration (9:00 - 12:00)
How to handle health data to make it fit-for-purpose
In this session, participants will learn about data integration, its importance, and how it relates to clinical care. We explore how data is acquired in clinical care and understand the common problems and pitfalls in data integration. The session will also cover generic data integration approaches that can be used to integrate different data sources. By the end of the session, participants will be able to describe data integration approaches and understand the role of data quality in achieving reliable and accurate results in clinical care and research.
Session 4: Protecting Personal Data (14:00 - 17:00)
An Introduction to Data Privacy and Anonymization
This session will emphasize on developing the understanding of data privacy and anonymization. We will walk you through the different types of data that require protection and explore various techniques for data anonymization and their objectives. Furthermore, we will give a high-level introduction of the principles of the General Data Protection Regulation (GDPR). Finally, you will be provided with an opportunity to participate in hands-on exercises focusing on data anonymization and explore different techniques in more depth.
Wednesday 24/05/2023
Session 5: Tackling Data Heterogeneity (9:00 - 12:00)
Understanding the Importance of Data Harmonisation and Standards
This session aims to provide participants with a comprehensive understanding of data harmonization, its importance, and the different types of harmonization methods (general, retrospective, and prospective). Participants will learn about the various standards used in health and care for prospective harmonization and reflect on the interoperability of data standards in health and care, as well as the challenges that arise. Moreover, the session will cover the concepts of minimal/core datasets and common data models, which are essential components of successful data harmonization. By the end of the session, participants will have the knowledge and skills to apply data harmonization techniques effectively in their work, which will improve data quality, facilitate data analysis, and support better decision-making in health and care.
Session 6: Governance and Use (14:00 - 17:00)
Effective Governance and Contract Management for Research Projects Involving Data Reuse
Here, we focus on the topic of governance in research projects that involve data reuse. The session will cover various aspects of governance, including ethics, risk management, compliance, and administration, as they relate to data reuse. By the end of the session, participants will have a thorough understanding of the importance of governance in research projects involving data reuse, including the key strategic decisions that need to be made, the importance of contract management, and the various governance and use concepts that are involved. You will be better equipped to manage these projects and ensure their success.
Thursday 25/05/2023
Session 7: From Data to Insight (9:00 - 12:00)
Generating data-driven evidence to address urgent questions
This session is designed to provide participants with an understanding of how to generate data-driven evidence from data to address urgent questions. Participants will learn how to generate insights from data and use visualization techniques to analyze and interpret data. The session will introduce concepts of artificial intelligence and its role in generating insights from data. By the end of the session, participants will have the skills and knowledge to generate insights from data, apply visualization techniques to analyze and interpret data, and understand how AI can be used to generate data-driven evidence to address urgent questions.
Session 8: Exploring the Social Impact (14:00 - 17:00)
Elements of trust and trustworthiness in a complex multi-stakeholder data ecosystem
Besides amazing opportunities, the use of big data poses significant challenges related to trust and bias. This session explores the concept of trust among stakeholders involved in the secondary reuse of health data. We will also examine the importance of a social compact in the context of health data, and the different components that make up such a compact. Through interactive discussions, participants explore strategies for building trust among stakeholders.
Friday 26/05/2023
Session 9: Towards Impact (9:00 - 12:00)
Implementation of cutting-edge technology in real-world practice
Healthcare organizations are facing numerous challenges, including increasing care needs and tightening budgets. To address these challenges, organizations must improve their processes to ensure quality of care for patients. However, simply identifying areas for improvement is not enough. Organizations must implement changes that lead to measurable improvements in care delivery. This is where implementation science comes in, as it is a critical approach that can help healthcare organizations identify opportunities for process improvement, overcome barriers to change, and implement evidence-based interventions that lead to measurable improvements in care delivery. By applying implementation science principles to patient safety and patient flow management, organizations can enhance patient outcomes, improve the patient experience, and ensure the delivery of high-quality care in the face of challenging healthcare environments.
Session 10: Leading Change in a Complex Environment (14:00 - 17:00)
The Role of Co-Creative Leadership and Multi-Stakeholder Collaboration
(Co-shared session with Sven De Weerdt)
Leadership in today's rapidly changing world demands new ways of thinking and acting. This session explores the challenges of leading in a complex environment and how co-creative leadership and multi-stakeholder collaboration can help overcome these challenges. We will discuss how to build trust in human interactions and avoid the "blind spots" that can undermine successful leadership. Throughout the session, we will use real-world examples to illustrate the 8 Steps for Leading Change, providing practical guidance on how to navigate the complexities of leading in a changing environment. By the end of the session, attendees will have a better understanding of how to foster multi-stakeholder collaboration, build trust in human interactions, and navigate the challenges of leading change in complex environments.
Inspiring lunch plenary sessions
During the inspiring plenary lunch talks, experts will provide their personal insights related to big data in healthcare from their own unique perspectives, e.g. industry, health care professional, biomedical research and revalidation research. This will enable a more comprehensive understanding of the challenges and opportunities associated with big data in healthcare, and the various ways in which it can be utilized to improve patient outcomes and advance medical research. Our experts will tackle the following questions during their inspiring plenary lunch talks, each from their own perspective:
- Why big data in healthcare?
- What are the key challenges?
- Why should you care?