8th international workshop on
process-oriented data science for healthcare (pods4H25)
This workshop is organized in conjunction with the International Conference on Process Mining (ICPM 2025) in Montevideo (Uruguay) on October 20, 2025
The world’s most valuable resource is no longer oil, but data. The ultimate 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 2025 (PODS4H25) 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.
During the 8th edition of our workshop, we aim to bring together researchers and practitioners in a spirit of collaboration and co-creation. In this way, we have the ambition to move PODS4H research and practice forward, taking into account the distinguishing characteristics and challenges of the healthcare domain which were recently published in the Journal of Biomedical Informatics (https://doi.org/10.1016/j.jbi.2022.103994).
This workshop is an initiative of the Process-Oriented Data Science for Healthcare Alliance, which is a chapter within the IEEE Task Force on Process Mining.
IMPORTANT DATES
FULL PAPERS:
Abstract submission deadline: 18 July 2025
Paper submission deadline: 25 July 2025
Notification of acceptance: 22 August 2025
Pre-workshop camera-ready: 22 September 2025
Workshop day: 20 October 2025
Post-workshop proceedings camera-ready: 4 November 2025
ABSTRACTS AND POSTERS:
Closure of abstract submission: 21 September 2025
Notification of acceptance abstract: ongoing review*
Camera-ready version of poster: 17 October 2025
Workshop day: 20 October 2025
* Ongoing review: in principle within three weeks after submission, 28 September 2025 at the latest
All of the aforementioned deadlines are in the AoE (Anywhere on Earth) time zone.
WORKSHOP TOPICS
Submitted works should focus on the analysis, management, or improvement of processes using recorded data in the healthcare domain. Approaches which are not process-centric are considered out of scope. The workshop aims to compose a program containing both more theoretical contributions related to new techniques and algorithms, as well as more applied contributions such as methodologies and real-life case studies. We are looking forward to welcoming submissions from PODS4H researchers regarding their latest research results. Moreover, we highly encourage practitioners active in the healthcare domain to share their experiences and contribute to the workshop.
The topics of interest include, but are not limited to:
Process Mining in Healthcare
Process Discovery in Healthcare
Data-aided Process Modeling in Healthcare
Conformance Checking and Compliance Analysis in Healthcare Processes
Data-aided Process Enhancement and Repair
Healthcare Process Prediction and Recommendation
Healthcare Process Simulation
Healthcare Process Optimization
Process-Aware Hospital Information Systems Analysis and Data Extraction
Interfaces for PODS4H
Disease-driven PODS4H
Methodologies for PODS4H
Case Studies of PODS4H
Best practices for PODS4H
WACI (Wild And Crazy Ideas) for PODS4H
SUBMISSION TYPES
Two submission types are considered: (1) full papers - research papers and case studies, and (2) abstracts and posters.
(1) FULL PAPERS - RESEARCH PAPERS AND CASE STUDIES
For the full papers, a distinction is made between research papers and case studies. Research papers should focus on extending the state of the art of PODS4H research. Case studies should focus on a practical application of PODS4H in a real-life context and should clearly illustrate the distinguishing characteristics and challenges associated with PODS4H (https://doi.org/10.1016/j.jbi.2022.103994). Submissions should explicitly indicate whether they are a research paper or a case study by adding “Research Paper” or “Case Study” as a subtitle.
Submitted full papers will be evaluated on the basis of relevance, originality, technical quality, and their potential to generate a relevant discussion, while taking into account whether it is a research paper or a case study. Submissions must use the Springer LNCS/LNBIP format. Submissions must be in English and cannot exceed 12 pages (including tables, figures, the bibliography and appendices). Besides stating whether the submission is a research paper or a case study, each paper should clarify the relation of the paper to the workshop’s main topics, clearly state the problem being addressed, the proposed solution, the results achieved, and the relation to other work. Papers should be submitted electronically as a self-contained PDF file via the Easychair submission system (https://easychair.org/conferences/?conf=icpm2025). Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Accepted full papers will be presented during one of the workshop’s sessions and will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). At least one author of each accepted paper must register and participate in the workshop.
(2) ABSTRACTS AND POSTERS
Abstracts are an accessible way to share your ideas and experiences with the PODS4H community. They can focus on more theoretical contributions (new algorithms or techniques), but submissions on practical applications of existing methods or related to practical experiences are especially welcomed.
Abstracts should be in English and cannot exceed 250 words. Abstracts should be submitted electronically via the Easychair submission system (https://easychair.org/conferences/?conf=icpm2025). They will be reviewed on an ongoing basis and we have the firm ambition to provide you with a notification within two weeks after submission. Authors of accepted abstracts are entitled to participate in the workshop’s poster session and will get the opportunity to give a short pitch during one of the workshop’s sessions. Upon request of the author, the poster can be published on the workshop’s website, but the abstract and poster will not be part of the post-workshop proceedings. At least one author of each accepted submission must register and participate in the workshop. The author is responsible for bringing a printed copy of the poster to the workshop.
JOURNAL EXTENSION OF BEST WORKSHOP PAPERS
Authors of the best PODS4H full papers will be invited to submit an extended version of their paper to the Process Science journal. Process Science is the flagship journal of the Process Science Association advancing knowledge of processes and information systems.
ORGANIZING COMMITTEE
Niels Martin, Hasselt University (Belgium)
Carlos Fernandez-Llatas, Universitat Politècnica de Valencia (Spain)
Owen Johnson, University of Leeds (UK)
Jorge Munoz-Gama, Pontificia Universidad Católica de Chile (Chile)
PROGRAM COMMITTEE
The composition of a strong scientific program is made possible by the committment of our Program Committee members:
Davide Aloini, Università di Pisa
Robert Andrews, Queensland University of Technology
Iris Beerepoot, Utrecht University
Elisabetta Benevento, University of Pisa
Andrea Burattin, Technical University of Denmark
Dr. Daniel Capurro, University of Melbourne
Marco Comuzzi, Ulsan National Institute of Science and Technology
Jonas Cremerius, HPI – University of Potsdam
Benjamin Dalmas, Computer Research Institute of Montreal
Dr. René de la Fuente, Pontificia Universidad Católica de Chile
Onur Dogan, Università degli Studi di Padova
Carlos Fernandez-Llatas, Universitat Politècnica de Valencia
Roberto Gatta, Università Cattolica del Sacro Cuore
Joscha Grüger, Universität Trier
Emmanuel Helm, University of Applied Sciences Upper Austria
Owen Johnson, University of Leeds
Felix Mannhardt, Eindhoven University of Technology
Niels Martin, Hasselt University
Renata Medeiros de Carvalho, Eindhoven University of Technology
Jorge Munoz-Gama, Pontificia Universidad Católica de Chile
Marco Pegoraro, RWTH Aachen University
Simon Poon, University of Sydney
Luise Pufahl, Technical University of Munich
Ricardo Quintano, Philips
Hajo Reijers, Utrecht University
Eric Rojas, Pontificia Universidad Católica de Chile
Gema Ibañez Sanchez, Universitat Politècnica de Valencia
Fernando Seoane, Karolinska Institutet
Marcos Sepúlveda, Pontificia Universidad Católica de Chile
Minseok Song, Pohang University of Science and Technology
Alessandro Stefanini, Università di Pisa
Emilio Sulis, University of Turin
Pieter Toussaint, Norwegian University of Science and Technology
Vicente Traver, Universitat Politècnica de Valencia
Zoe Valero Ramón, Universitat Politècnica de Valencia
Wil van der Aalst, RWTH Aachen University
Rob Vanwersch, Maastricht University Medical Center
Mathias Weske, HPI - University of Potsdam
Moe Wynn, Queensland University of Technology