Unveiling the Dynamic Complexity of Health Data Quality

Pre-conference Tutorial

Wednesday, 29 November 2023 (2PM-6PM)
Location: TBA

Data-driven healthcare harnesses the wealth of information generated from diverse sources such as electronic health records, medical devices, wearables, genomics, and patient generated data. This vast and complex data ecosystem holds the potential to unlock new discoveries, facilitating research, enable evidence-based practices, and revolutionize healthcare delivery.

However, within this potential lies a critical challenge: ensuring data quality. Quality of healthcare data is essential for leveraging its full potential in driving informed decision-making, research advancements, and improved patient outcomes. Data quality issues, such as incomplete or inaccurate data, can significantly impact the success of data-driven initiatives.

Tutorial topics

Part 1

Diving deeper into the dynamic of Health Data Quality

  • Define Health Data Quality and what its significance is in our healthcare ecosystem
  • Present an overview of data quality frameworks and their implication
  • Understand the implications of poor data quality by presenting different use cases

Part 2

Exploring the dimensions of Health Data Quality further (specifically, completeness of Health Data)

A statistical understanding on how to:

  • Identify the types of missingness
  • Visualise techniques to identify missing patterns
  • Develop methods to assess data completeness
  • Effectively strategize handling missing data
  • Implement best practices to improve data completeness in health-related fields



Welcome & introduction

  • Prof. Dipak Kalra – President, The European Institute for Innovation through Health Data
  • Ingrid Maes – Co-founder, Inovigate


Introduction to Health Data Quality

  • Prof. Pascal Coorevits – Medical Informatics and Statistics at the Department of Public Health of the Faculty of Medicine and Health Sciences, Ghent University


i~HD Data Quality Framework

  • Jens Declerck – PhD Candidate and Health Data Quality Manager, The European Institute for Innovation through Health Data 


Use-case presentation 1

  • Nicky Van Der Vekens – Clinical Data Manager and Policy Maker, AZ Maria Middelares


Use-case presentation 2

  • Noëlla Pierlet – Head of Data Science, Ziekenhuis Oost-Limburg


Use-case presentation 3

  • Dr. Mona Bové – Scientific Associate – Data Management, OLV Hospital Aalst
  • Louisa Persoons – Head of Health Data Management, OLV Hospital Aalst


Coffee break


Use-case presentation 4

  • AZ Groeninge (TBA)


Use-case presentation 5

  • Sonia Priou – PhD Candidate and Data Scientist, L’Assistance Publique-Hôpitaux de Paris (AP-HP)


Statistically unveiling completeness of Health Data

  • Statistical Unit, Ghent University (TBA)



  • Q&A
  • Recommendations for hospitals session