Process-Oriented Data Science for Healthcare (PODS4H22)



Kolpinghaus Bozen – Main room (“sala grande”)
Largo Adolph Kolping, 3 – Google Maps


  • Niels Martin, Hasselt University (Belgium)
  • Carlos Fernandez-Llatas, Universitat Politècnica de Valencia (Spain)
  • Owen Johnson, University of Leeds (United Kingdom)
  • Marcos Sepúlveda, Pontificia Universidad Católica de Chile (Chile)
  • Emmanuel Helm, University of Applied Sciences Upper Austria (Austria)
  • Jorge Munoz-Gama, Pontificia Universidad Católica de Chile (Chile)


The world’s most valuable resource is no longer oil, but data. The goal of data science techniques is not to collect more data, but to extract knowledge and valuable insights from existing data in various forms. To analyze and improve processes, event data is the main source of information. In recent years, a new discipline has emerged combining traditional process analysis and data-centric analysis: Process-Oriented Data Science (PODS). The interdisciplinary nature of this new research area has resulted in its application to analyze processes in a wide variety of domains. This workshop has an explicit focus on healthcare.

The International Workshop on Process-Oriented Data Science for Healthcare 2022 (PODS4H22) provides a high-quality forum for interdisciplinary researchers and practitioners to exchange research findings and ideas on data-driven process analysis techniques and practices in healthcare. PODS4H research includes a variety of topics ranging from process mining techniques adapted for healthcare processes, to practical issues related to the implementation of PODS methodologies in healthcare organizations.