Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining
Source abstract
Abstract
In order to improve the efficiency and effectiveness of Emergency Rooms (ER), it is important to provide answers to frequently-posed questions regarding all relevant processes executed therein. Process mining provides different techniques and tools that help to obtain insights into the analyzed processes and help to answer these questions. However, ER experts require certain guidelines in order to carry out process mining effectively. This article proposes a number of solutions, including a classification of the frequently-posed questions about ER processes, a data reference model to guide the extraction of data from the information systems that support these processes and a question-driven methodology specific for ER. The applicability of the latter is illustrated by means of a case study of an ER service in Chile, in which ER experts were able to obtain a better understanding of how they were dealing with episodes related to specific pathologies, triage severity and patient discharge destinations.
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Research context
OpenAlex topics: Business Process Modeling and Analysis · Data Quality and Management · Service-Oriented Architecture and Web Services
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Computer Science Department, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile
Internal Medicine Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8320000, Chile
Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA 98109, USA
Instituto Universitario de las Tecnologías de la Información y de las Comunicaciones (ITACA), Universitat Politécnica de València, Valencia 46022, Spain
Unidad Mixta de Reingeniería de Procesos Sociosanitarios (eRPSS), Instituto de Investigación Sanitaria del Hospital Universitario y Politecnico La Fe, Bulevar Sur S/N, Valencia 46026, Spain
References (41)
Show source-provided references
1. Institute of Medicine, Board on Health Care Services, and Committee on the Future of Emergency Care in the United States Health System (2006). Hospital-Based Emergency Care: At the Breaking Point, National Academy of Sciences.
2. Emergency department operational metrics, measures and definitions: Results of the second performance measures and benchmarking summit10.1016/j.annemergmed.2010.08.040 ↗
3. Business Process Redesign in Healthcare: Towards a structured approach
4. Evidence-based implementation of evidence-based medicine
5. Applying evidence-based medicine in telehealth: An interactive pattern recognition approximation10.3390/ijerph10115671 ↗
6. Lean in healthcare: The unfilled promise?10.1016/j.socscimed.2011.02.011 ↗
7. Process mining in healthcare: A literature review10.1016/j.jbi.2016.04.007 ↗
8. Analysis of surgical intervention populations using generic surgical process models10.1007/s11548-010-0475-y ↗
9. Process mining methodology for health process tracking using real-time indoor location systems10.3390/s151229769 ↗
10. Fernandez-Llatas, C., Bayo, J.L., Martinez-Romero, A., Benedí, J.M., and Traver, V. (2016, January 24–27). Interactive pattern recognition in cardiovascular disease management: A process mining approach. Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Las Vegas, NV, USA.10.1109/BHI.2016.7455906 ↗
11. Mans, R.S., van der Aalst, W.M., Vanwersch, R.J., and Moleman, A.J. (2013). Process Support and Knowledge Representation in Health Care, Springer.
12. Mans, R., Schonenberg, M., Song, M., van der Aalst, W.M., and Bakker, P.J. (2008, January 28–31). Application of process mining in healthcare—A case study in a dutch hospital. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies, Madeira, Portugal.10.1007/978-3-540-92219-3_32 ↗
13. Grando, M., Schonenberg, M., and van der Aalst, W. (2011). Biomedical Engineering Systems and Technologies, Proceedings of the 4th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy, 26–29 January 2011, Springer.
14. Business process analysis in healthcare environments: A methodology based on process mining10.1016/j.is.2011.01.003 ↗
15. Process mining for clinical processes: A comparative analysis of four Australian hospitals
16. Understanding variations in pediatric asthma care processes in the emergency department using visual analytics10.1093/jamia/ocu016 ↗
17. Mejri, A., Ghannouchi, S.A., Martinho, R., and Elhadj, F. (2016, January 26–29). Enhancing business process flexibility in an emergency care process. Proceedings of the 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), Okayama, Japan.10.1109/ICIS.2016.7550814 ↗
18. McGregor, C., Catley, C., and James, A. (2011, January 6). A process mining driven framework for clinical guideline improvement in critical care. Proceedings of the Learning from Medical Data Streams Workshop, Bled, Slovenia.
19. Van der Aalst, W. (2016). Process Mining: Data Science in Action, Springer.10.1007/978-3-662-49851-4 ↗
20. Mans, R., van der Aalst, W.M.P., and Vanwersch, R.J.B. (2015). Process Mining in Healthcare—Evaluating and Exploiting Operational Healthcare Processes, Springer. Springer Briefs in Business Process Management.10.1007/978-3-319-16071-9 ↗
21. Emergency triage10.1136/bmj.314.7086.1056 ↗
22. Perimal-Lewis, L., Qin, S., Thompson, C., and Hakendorf, P. (February, January 31). Gaining insight from patient journey data using a process-oriented analysis approach. Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management-Volume 129, Melbourne, Australia.
23. Silverston, L. (2001). The Data Model Resource Book, Vol. 2: A Library of Data Models for Specific Industries, Wiley.
24. Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs10.1016/j.is.2016.07.011 ↗
25. Bose, R.J.C., Mans, R.S., and van der Aalst, W.M. (2013, January 16–19). Wanna improve process mining results?. Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), Singapore.10.1109/CIDM.2013.6597227 ↗
26. Disco: Discover Your Processes
27. Claes, J., and Poels, G. (2013). Business Process Management Workshops: BPM 2012 International Workshops, Tallinn, Estonia, 3 September 2012, Springer. Revised Papers.
28. Han, J., Kamber, M., and Pei, J. (2011). Data Mining: Concepts and Techniques, Elsevier.
29. Rozinat, A., and van der Aalst, W.M. (2006). International Conference on Business Process Management, Springer.
30. Suriadi, S., Mans, R.S., Wynn, M.T., Partington, A., and Karnon, J. (2014, January 3–4). Measuring patient flow variations: A cross-organisational process mining approach. Proceedings of the Asia-Pacific Conference on Business Process Management, Brisbane, Australia.10.1007/978-3-319-08222-6_4 ↗
31. Dagliati, A., Sacchi, L., Cerra, C., Leporati, P., de Cata, P., Chiovato, L., Holmes, J.H., and Bellazzi, R. (2014, January 1–4). Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. Proceedings of the 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Piscataway, NJ, USA.10.1109/BHI.2014.6864348 ↗
32. Kumar, V., Park, H., Basole, R.C., Braunstein, M., Kahng, M., Chau, D.H., Tamersoy, A., Hirsh, D.A., Serban, N., and Bost, J. (2014, January 24–27). Exploring clinical care processes using visual and data analytics: Challenges and opportunities. Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshop on Data Science for Social Good, New York, NY, USA.
33. Process mining with the heuristics miner-algorithm
34. Günther, C.W., and van der Aalst, W.M. (2007). Business Process Management, Springer.
35. Genetic process mining: An experimental evaluation10.1007/s10618-006-0061-7 ↗
36. Leemans, S.J., Fahland, D., and van der Aalst, W.M. (2014). Business Process Management Workshops, Springer.
37. Business alignment: Using process mining as a tool for Delta analysis and conformance testing10.1007/s00766-005-0001-x ↗
38. Replaying history on process models for conformance checking and performance analysis10.1002/widm.1045 ↗
39. Munoz-Gama, J. (2017). Conformance Checking and Diagnosis in Process Mining: Comparing Observed and Modeled Processes, Springer.10.1007/978-3-319-49451-7 ↗
40. Towards comprehensive support for organizational mining10.1016/j.dss.2008.07.002 ↗
41. Sampieri, R.H., Collado, C.F., Lucio, P.B., and Pérez, M.D.L.L.C. (1998). Metodología de la Investigación, McGraw-Hill.