Unveiling the Dynamic Complexity of Health Data Quality

Pre-conference Tutorial

Wednesday, 29 November 2023 (2PM-6PM)
Location: Marriott Hotel Ghent

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, facilitate 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:

  • Missing data in clinical trials
  • The missing data-generating mechanisms
  • Why missing data are problematic
  • Missing data patterns
  • Multiple imputations to handle missing data



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 +
The Use of Real-World Data (Hospital Use Cases)

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


AZ Maria Middelares Use Case

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


OLV Hospital Aalst Use Case

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


AZ Groeninge Use Case

  • Lieselot Cool – Data Scientist, AZ Groeninge
  • Louis Desmet – Data Scientist, AZ Groeninge


UZ Gent Use Case

  • Mieke Deschepper – Data Scientist, Data Science Institute, UZ Gent


Coffee break


Ziekenhuis Oost-Limburg Use Case

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


AP-HP Use Case

  • Sonia Priou – PhD candidate, AP-HP


Missing data in clinical trials

  • Stefanie De Buyser – Senior Biostatistician, Biostatistics Unit, Faculty of Medicine and Health Sciences, Ghent University


Panel Debate

Formulating Recommendations