Health data covers a broad range of data influencing people's health, e.g. their monitoring, analysis, and prediction. In general, it includes several types of data such as environmental data, personal data gathered, for example, via fitness trackers and especially clinical data. These data are often distributed over several data storages, and they are collected from many concurrent (and complex) health care processes. The routine clinical data are considered precious, and their secondary use is considered beneficial for policymakers, public health oficers, scientists, clinicians, citizens and industry. Diferent initiatives, including European Health Data Network and Clinical Trial Data initiative, initiated by the European Commission and the EFPIA (European Federation of Pharmaceutical Industries and Associations), are searching for better solutions for utilising citizens' health data. However, due to the semantic heterogeneity and the distributed storage of health data, it is still no unified approach to interoperability, hence one relay on divide-and-conquer approaches instead. Facilitating big-data analytics depends on optimized privacy aware data sharing and data reuse, which are still lacking despite diferent interoperability standards in the medical domain.
(A. Rutle)
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). International Conference on Application and Theory of Petri Nets and Concurrency on June 19 - 24, 2022, Bergen, Norway.
The list of topics covered, but was not limited, to the following: • Health data models and meta-models • Widespread usage of health data • Concurrency in health data systems • Distributed health data processes • Anonymisation and privacy of health data • Health data integrity and quality • Open health data platforms • Services for data retrieval, data exchange, data analysis (Data analytics as a service) • Architecture of eHealth systems • Syntactical and Semantic interoperability • Device-to-Device Communication • Data from social media, fitness trackers etc.
• Combining health data sources
The program committee of the workshop consisted of experts in various fields related to computer science, software engineering, and health informatics. The committee members, who represent various universities and institutions located in 7 diferent countries, are listed below: • Clemens Cap, University of Rostock, DE • Vincenzo Ciancia, Institute for Information Science and Technologies - CNR, IT • Gayo Diallo, University of Bordeaux, FR • Lukas Fischer, Software Competence Center Hagenberg GmbH (SCCH), AT • Ludovico Iovino, Gran Sasso Science Institute, IT • Yngve Lamo, Western Norway University of Applied Sciences, NO • Martin Leucker, University of Lübeck, DE • Wendy MacCaull, St. Francis Xavier University, CA • Suresh Mukhiya, Western Norway University of Applied Sciences, NO • Gunnar Piho, Tallinn University of Technology (TalTech), EE • Violet Ka I Pun, Western Norway University of Applied Sciences, NO • Fazle Rabbi, University of Bergen, NO • Aarne Ranta, University of Gothenburg, SE • Peeter Ross, Tallinn University of Technology (TalTech), Estonia • Adrian Rutle, Western Norway University of Applied Sciences, NO
The workshop received 14 papers from 8 diferent countries. After a rigourous reviewing process, 9 of the papers were accepted for publication in this proceedings, giving an acceptance rate of 0.64. All the authors were given the opportunity to present their works in the workshop, however, only those who met the requirements set by the program committee were selected for publication. Out of the 9 accepted papers, the best 2 papers were invited to submit extended versions to the TopNoc journal which will be edited by the chair of the Petri Nets 2022 conference.
The accepted papers are:
First we would like to thank all the authors who have submitted and presented their work at the HEDA 2022 workshop. Without the great eforts of the reviewers in ensuring the quality of the papers, this workshop would not be as successful as it became. We would also like to thank the organizers of the Petri Nets 2022 conference for facilitating the workshop. Finally, many thanks to Gunnar Piho and Violet Ka I Pun for helping out in all phases of the organization.