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 officers, scientists, clinicians, citizens and industry. Different 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 different interoperability standards in the medical domain.
HEDA 2022 aims to bring together academics, practitioners and other interested attendees for presentations, and discussions in the domain of digital health with special focus on health data modelling, health processes description and analytics. The aim is to create a broader community to explore the potential for open secondary use and analytics of citizens' health data and develop and evaluate the solutions to make it happen. We emphasise here the central role of citizens, as data holders, whose privacy, active consent and control must be ensured when processing the health data in a global context.
HEDA 2022 invited paper submission, including position and work-in-progress papers, about unpublished research covering all aspects of health data modelling, interoperability and analytics. The workshop was orgainzed as a co-located event together with Petri Nets 2022: The 43rd The list of topics covered, but was not limited, to the following:
• Health data models and meta-models
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 different countries, are listed below:
The workshop received 14 papers from 8 different 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:
1.
First we would like to thank all the authors who have submitted and presented their work at the HEDA 2022 workshop. Without the great efforts 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.