–This event is organised in conjunction with the International Conference on Business Process Management (BPM 2018) in Sydney on September 10, 2018–

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 insights from existing data in various forms. For analyzing and improving 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 for analyzing processes in different domains such as education, finances, and especially healthcare.

The International Workshop on Process-Oriented Data Science for Healthcare 2018 (PODS4H18) aims at providing a high-quality forum for interdisciplinary researchers and practitioners (both data/process analysts and medical audience) to exchange research findings and ideas on healthcare process analysis techniques and practices. PODS4H research includes a wide range of topics from process mining techniques adapted for healthcare processes, to practical issues on implementing PODS methodologies in healthcare centers’ analysis units.

This workshop is an initiative of the Process-Oriented Data Science for Healthcare Alliance.  

Web: www.pods4h.com
Twitter: @PODS4H
Hashtag: #PODS4H18

Sponsors & Partners

Program


9:00 – 10:30 (Chair: Owen Johnson)

Opening: Welcome to PODS4H18

Paper 1: “Expectations from a Process Mining Dashboard in Operating Rooms with Analytic Hierarchy Process”. Antonio Martinez-Millana, Aroa Lizondo, Roberto Gatta, Carlos Fernandez-Llatas and Vicente Traver.

Paper 2: “Tailored Process Feedback through Process Mining for Surgical Procedures in Medical Training”. Ricardo Lira, Juan Salas-Morales, Rene de La Fuente, Ricardo Fuentes, Marcos Sepúlveda, Michael Arias, Jorge Munoz-Gama and Valeria Herskovic.

Paper 3: “An Application of Process Mining in the Context of Melanoma Surveillance using Time Boxing”. Christoph Rinner, Emmanuel Helm, Reinhold Dunkl, Harald Kittler and Stefanie Rinderle-Ma.


11:00 – 12:30 (Chair: Niels Martin)

Success Case Teaser 1: “A Framework for Tackling Data Quality in Process-Oriented Data Science Research using Electronic Health Records”. Frank Fox, Vishal Aggarwal, Helen Whelton and Owen Johnson.

Success Case Teaser 2: “Applying Value-Based Healthcare in Hospital Management with Process Mining and Real Time Location Systems”. Carlos Fernandez-Llatas, Vicente Traver, Salvador Vera, Eduardo Monton and Jordi Rovira.

Paper 4: “Characterization of drug use patterns using process mining and temporal abstraction digital phenotyping”. Eric Rojas and Daniel Capurro.

Paper 5: “Ground and Aero-medical Pre-hospital Retrieval and Transport of Road Trauma Patients in Queensland: A Process Mining Analysis”. Robert Andrews, Moe Wynn, Kirsten Vallmuur, Arthur Ter Hofstede, Emma Bosley and Mark Elcock.

Paper 6: “Analyzing Medical Emergency Processes with Process Mining. The Stroke Case”. Carlos Fernandez-Llatas, Gema Ibanez-Sanchez, Angeles Celda, Jesus Mandingorra, Lucia Aparici-Tortajada, Antonio Martinez-Millana, Jorge Munoz-Gama, Marcos Sepulveda, Eric Rojas, Victor Galvez, Daniel Capurro and Vicente Traver.


14:00 – 15:30 (Chair: Carlos Fernandez-Llatas)

Success Case Teaser 3: “Methodology for the study of Hospital Processes through Process Mining Techniques in an Emergency Room”. Eric Rojas, Michael Arias, Jorge Munoz-Gama, Marcos Sepúlveda and Daniel Capurro.

Success Case Teaser 4: “The NETIMIS Care Pathway Simulation Tool”. Steve Box, Hayley Milsom, Sam Gair and Owen Johnson.

Paper 7: “Using indoor location system data to enhance the quality of healthcare event logs: opportunities and challenges”. Niels Martin.

Paper 8: “The ClearPath Method for Care Pathway Process Mining and Simulation”. Owen Johnson, Angelina Prima Kurniati, Frank Fox, Eric Rojas and Thamer Ba Dhafari.

Paper 9: “Analysis of Emergency Room Episodes Duration through Process Mining”. Eric Rojas, Andres Cifuentes, Andrea Burattin, Jorge Munoz-Gama, Marcos Sepúlveda and Daniel Capurro.


16:00 – 17:00 (Chair: Jorge Munoz-Gama)

PODS4H Alliance Panel: Round-table meeting session to discuss the current state of the discipline and future community efforts, such as the PODS4H Manifesto and the PODS4H Special Issue. All participants are welcome!

Closing: See you in PODS4H19 !


17:00 – 18:00 Meeting IEEE Task Force on Process Mining

We invite you to attend the Meeting IEEE Task Force on Process Mining in the BPI room


 

 Awards

Celonis Academic Alliance sponsors the “PODS4H18 Best Paper Award” and the “PODS4H18 Best Success Case Award“. The price includes a voucher for a professional Celonis Data Scientist Training.

PODS4H18 Best Paper Award: To be announced during the ceremony …
PODS4H18 Best Success Case Award: To be announced during the ceremony …

 

 Workshop Topics

Submitted works should involve the analysis, management, or improvement of processes using recorded data in the healthcare domain. Non process-centric approaches will fall out of scope. The workshop aims at both more theoretical contributions such as new techniques and algorithms, and more applied contributions such as methodologies and case studies.

The topics of interest include, but are not limited to:

  • Process Mining in Healthcare
  • Process Discovery and Data-aided Process Modeling in Healthcare
  • Conformance Checking and Compliance Analysis of 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 and Best Practices for PODS4H
  • Case Studies and Application of PODS4H
  • WACI (Wild And Crazy Ideas) for PODS4H

Submission Instructions

Two types of submissions are accepted:

Regular: Submitted papers will be evaluated on the basis of significance, originality, technical quality, and potential to generate relevant discussion. Submissions must use the Springer LNCS/LNBIP format. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should clarify the relation of the paper with the workshop main topics, clearly state the problem being addressed, the goal of the work, 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=pods4h). 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 papers 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. The best papers will be invited to submit an extended version on a fast-track at a JCR journal Special Issue (see Journal Special Issue section).

Success Cases: Success cases are short accessible communications describing a PODS4H experience performed by a group or a company in a specific scenario, along with some analysis that provides insights and learning for the future (examples available here). Submissions must be in English and must not exceed 2 pages. The format is free (reference material available here), but the document must include a highly visible ‘International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – Success Case’ reference. Papers should be submitted electronically as a self-contained PDF file via the submission system (https://easychair.org/conferences/?conf=pods4h). At least one author of each accepted paper must register and participate in the workshop. Accepted cases that qualify will be published online by the IEEE Task Force on Process Mining as part of their Case Studies series.  

 

Journal Special Issue  

The best Regular papers will be invited to submit an extended version on a fast-track at the Special Issue on Process-Oriented Data Science of the International Journal of Environmental Research and Public Health (IJERPH). IJERPH is indexed in the Journal Citation Reports – Thomson Reuters index, with a 5-Year Impact Factor of 2.54. The expanded workshop paper must fulfil the following requirements: (1) the paper should be expanded to the size of a journal research article; (2) the workshop paper should be cited and noted on the first page of the paper; (3) if the authors do not hold the copyright of the published workshop paper, authors should seek the appropriate permission from the copyright holder; (4) authors are asked to disclose that it is workshop paper in their cover letter and include a statement on what has been changed compared to the original workshop paper. Notice that IJERPH is an open-access journal, and it is the authors responsibility to cover the Article Processing Charges (http://www.mdpi.com/journal/ijerph/apc) if the paper is finally accepted.  

 

Important Dates

Abstract submission deadline (Regular): 18 May 2018 (with the paper submission)
Paper submission deadline (Regular): 25 May 2018 1 June 2018
Notification of acceptance (Regular): 29 June 2018
Camera ready (Regular): 13 July 2018

Success Case submission deadline: 9 July 2018
Success Case notification of acceptance: 20 July 2018

Workshop day: 10 September 2018

*Deadlines correspond to anywhere on earth (‘AoE’ or ‘UTC-12′)

 

Organizing Committee

  • Jorge Munoz-Gama, Pontificia Universidad Catòlica de Chile (Chile)
  • Carlos Fernandez-Llatas, Universitat Politècnica de Valencia (Spain)
  • Niels Martin, Hasselt University (Belgium)
  • Owen Johnson, University of Leeds (United Kingdom)

The workshop is an initiative of the Process-Oriented Data Science for Healthcare Alliance.   The goal of this international alliance is to promote the research, development, education and understanding of process-oriented data science in healthcare. For more information about the activities and its members visit  pods4h.com/alliance

Program Committee 

  • Robert Andrews, Queensland University of Technology
  • Joos Buijs, Eindhoven University of Technology
  • Andrea Burattin, Technical University of Denmark
  • Dr. Daniel Capurro, Pontificia Universidad Católica de Chile
  • Josep Carmona, Universitat Politècnica de Catalunya
  • Carlos Fernandez-Llatas, Universitat Politècnica de Valencia
  • Dr. René de la Fuente, Pontificia Universidad Católica de Chile
  • Roberto Gatta, Università Cattolica del Sacro Cuore
  • Zhengxing Huang, Zhejiang University
  • Owen Johnson, University of Leeds
  • Felix Mannhardt, SINTEF
  • Ronny Mans, VitalHealth Software
  • Niels Martin, Hasselt University
  • Renata Medeiros de Carvalho, Eindhoven University of Technology
  • Jorge Munoz-Gama, Pontificia Universidad Católica de Chile
  • Ricardo Quintano, Pontifícia Universidade Católica do Rio de Janeiro / Philips Research
  • David Riaño, Universitat Rovira i Virgili
  • Eric Rojas, Pontificia Universidad Católica de Chile
  • Lucia Sacchi, University of Pavia
  • Fernando Seoane, Karolinska Institutet
  • Marcos Sepúlveda, Pontificia Universidad Católica de Chile
  • Minseok Song, Pohang University of Science and Technology
  • Vicente Traver, Universitat Politècnica de Valencia
  • Wil van der Aalst, RWTH Aachen University
  • Rob Vanwersch, Maastricht University Medical Center
  • Chuck Webster, EHR Workflow Inc.

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Contact

pods4h@gmail.com