{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:36:21Z","timestamp":1771457781590,"version":"3.50.1"},"reference-count":46,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Process mining can provide greater insight into medical treatment processes and organizational processes in healthcare. To enhance comparability between processes, the quality of the labelled-data is essential. A literature review of the clinical case studies by Rojas et al. in 2016 identified several common aspects for comparison, which include methodologies, algorithms or techniques, medical fields, and healthcare specialty. However, clinical aspects are not reported in a uniform way and do not follow a standard clinical coding scheme. Further, technical aspects such as details of the event log data are not always described. In this paper, we identified 38 clinically-relevant case studies of process mining in healthcare published from 2016 to 2018 that described the tools, algorithms and techniques utilized, and details on the event log data. We then correlated the clinical aspects of patient encounter environment, clinical specialty and medical diagnoses using the standard clinical coding schemes SNOMED CT and ICD-10. The potential outcomes of adopting a standard approach for describing event log data and classifying medical terminology using standard clinical coding schemes are further discussed. A checklist template for the reporting of case studies is provided in the Appendix A to the article.<\/jats:p>","DOI":"10.3390\/ijerph17041348","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T03:20:03Z","timestamp":1582168803000},"page":"1348","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Towards the Use of Standardized Terms in Clinical Case Studies for Process Mining in Healthcare"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1323-3511","authenticated-orcid":false,"given":"Emmanuel","family":"Helm","sequence":"first","affiliation":[{"name":"Research Department Advanced Information Systems and Technology, University of Applied Sciences Upper Austria, 4232 Hagenberg, Austria"},{"name":"Institute for Applied Knowledge Processing, Johannes Kepler University, 4040 Linz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4840-8788","authenticated-orcid":false,"given":"Anna M.","family":"Lin","sequence":"additional","affiliation":[{"name":"Research Department Advanced Information Systems and Technology, University of Applied Sciences Upper Austria, 4232 Hagenberg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0189-4718","authenticated-orcid":false,"given":"David","family":"Baumgartner","sequence":"additional","affiliation":[{"name":"Research Department Advanced Information Systems and Technology, University of Applied Sciences Upper Austria, 4232 Hagenberg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alvin C.","family":"Lin","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Josef","family":"K\u00fcng","sequence":"additional","affiliation":[{"name":"Institute for Applied Knowledge Processing, Johannes Kepler University, 4040 Linz, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.jbi.2016.04.007","article-title":"Process mining in healthcare: A literature review","volume":"61","author":"Rojas","year":"2016","journal-title":"J. Biomed. Inform."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"24543","DOI":"10.1109\/ACCESS.2018.2831244","article-title":"Systematic Mapping of Process Mining Studies in Healthcare","volume":"6","author":"Erdogan","year":"2018","journal-title":"IEEE Access"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Helm, E., Lin, A.M., Baumgartner, D., Lin, A.C., and K\u00fcng, J. (2019, January 1\u20136). Adopting Standard Clinical Descriptors for Process Mining Case Studies in Healthcare. Proceedings of the International Conference on Business Process Management, Vienna, Austria.","DOI":"10.1007\/978-3-030-37453-2_49"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Rojas, E., and Capurro, D. (2018, January 9\u201314). Characterization of drug use patterns using process mining and temporal abstraction digital phenotyping. Proceedings of the International Conference on Business Process Management, Sydney, Australia.","DOI":"10.1007\/978-3-030-11641-5_15"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Benson, T., and Grieve, G. (2016). Principles of Health Interoperability: SNOMED CT, HL7 and FHIR, Springer.","DOI":"10.1007\/978-3-319-30370-3"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1016\/j.procs.2017.11.108","article-title":"Data-driven modeling of clinical pathways using electronic health records","volume":"121","author":"Funkner","year":"2017","journal-title":"Procedia Comput. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Fox, F., Aggarwal, V.R., Whelton, H., and Johnson, O. (2018, January 4\u20137). A data quality framework for process mining of electronic health record data. Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI), New York, NY, USA.","DOI":"10.1109\/ICHI.2018.00009"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Erdogan, T.G., and Tarhan, A. (2018). A Goal-Driven Evaluation Method Based On Process Mining for Healthcare Processes. Appl. Sci., 8.","DOI":"10.3390\/app8060894"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.compbiomed.2016.08.007","article-title":"A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways","volume":"77","author":"Lismont","year":"2016","journal-title":"Comput. Biol. Med."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Duma, D., and Aringhieri, R. (2018). An ad hoc process mining approach to discover patient paths of an Emergency Department. Flex. Serv. Manuf. J., 1\u201329.","DOI":"10.1007\/s10696-018-9330-1"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jbi.2018.07.022","article-title":"An approach to automatic process deviation detection in a time-critical clinical process","volume":"85","author":"Yang","year":"2018","journal-title":"J. Biomed. Inform."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Baek, H., Cho, M., Kim, S., Hwang, H., Song, M., and Yoo, S. (2018). Analysis of length of hospital stay using electronic health records: A statistical and data mining approach. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0195901"},{"key":"ref_13","first-page":"72","article-title":"Analyzing the trajectories of patients with sepsis using process mining","volume":"1859","author":"Mannhardt","year":"2017","journal-title":"CEUR Workshop Proc."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"T\u00f3th, K., Machalik, K., Fogarassy, G., and Vathy-Fogarassy, \u00c1. (2017, January 24\u201325). Applicability of process mining in the exploration of healthcare sequences. Proceedings of the 2017 IEEE 30th Neumann Colloquium (NC), Budapest, Hungary.","DOI":"10.1109\/NC.2017.8263273"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Alharbi, A., Bulpitt, A., and Johnson, O. (2017, January 10\u201315). Improving Pattern Detection in Healthcare Process Mining Using an Interval-Based Event Selection Method. Proceedings of the International Conference on Business Process Management, Barcelona, Spain.","DOI":"10.1007\/978-3-319-65015-9_6"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jbi.2017.11.014","article-title":"Learning bundled care opportunities from electronic medical records","volume":"77","author":"Chen","year":"2018","journal-title":"J. Biomed. Inform."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Andrews, R., Wynn, M.T., Vallmuur, K., ter Hofstede, A.H.M., Bosley, E., Elcock, M., and Rashford, S. (2018, January 9\u201314). Pre-hospital retrieval and transport of road trauma patients in Queensland: A process mining analysis. Proceedings of the International Conference on Business Process Management, Sydney, Australia.","DOI":"10.1007\/978-3-030-11641-5_16"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Rinner, C., Helm, E., Dunkl, R., Kittler, H., and Rinderle-Ma, S. (2018). Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance. Int. J. Environ. Res. Public Health, 15.","DOI":"10.3390\/ijerph15122809"},{"key":"ref_19","unstructured":"Mannhardt, F., and Toussaint, P.J. (2018). Revealing Work Practices in Hospitals Using Process Mining. Studies in Health Technology and Informatics, IOS Press."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Stefanini, A., Aloini, D., Dulmin, R., and Mininno, V. (2017, January 29\u201331). Service Reconfiguration in Healthcare Systems: The Case of a New Focused Hospital Unit. Proceedings of the International Conference on Health Care Systems Engineering, Florence, Italy.","DOI":"10.1007\/978-3-319-66146-9_16"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1177\/1460458218810760","article-title":"The assessment of data quality issues for process mining in healthcare using Medical Information Mart for Intensive Care III, a freely available e-health record database","volume":"25","author":"Kurniati","year":"2019","journal-title":"Health Inform. J."},{"key":"ref_22","unstructured":"De Vries, G.J., Neira, R.A.Q., Geleijnse, G., Dixit, P., and Mazza, B.F. (2017, January 21\u201323). Towards Process Mining of EMR Data. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), Porto, Portugal."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Kirchner, K., and Markovi\u0107, P. (2018, January 22\u201325). Unveiling Hidden Patterns in Flexible Medical Treatment Processes \u2013 A Process Mining Case Study. Proceedings of the International Conference on Decision Support System Technology, Heraklion, Greece.","DOI":"10.1007\/978-3-319-90315-6_14"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.jbi.2017.12.015","article-title":"Discovering role interaction models in the Emergency Room using Process Mining","volume":"78","author":"Alvarez","year":"2018","journal-title":"J. Biomed. Inform."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.procs.2018.10.023","article-title":"Identification of Pathophysiological Subclinical Variances During Complex Treatment Process of Cardiovascular Patients","volume":"138","author":"Metsker","year":"2018","journal-title":"Procedia Comput. Sci."},{"key":"ref_26","first-page":"188","article-title":"Automatic Creation of Clinical Pathways - A Case Study","volume":"179","author":"Kirchner","year":"2016","journal-title":"Data Sci. Bus. Intell."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Yang, S., Zhou, M., Chen, S., Dong, X., Ahmed, O., Burd, R.S., and Marsic, I. (2017, January 23\u201326). Medical Workflow Modeling Using Alignment-Guided State-Splitting HMM. Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI), Park City, UT, USA.","DOI":"10.1109\/ICHI.2017.66"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Rojas, E., Sep\u00falveda, M., Munoz-Gama, J., Capurro, D., Traver, V., and Fernandez-Llatas, C. (2017). Question-driven methodology for analyzing emergency room processes using process mining. Appl. Sci., 7.","DOI":"10.3390\/app7030302"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Stell, A., Piper, I., and Moss, L. (2018, January 19\u201321). Automated Measurement of Adherence to Traumatic Brain Injury (TBI) Guidelines using Neurological ICU Data. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), Madeira, Portugal.","DOI":"10.5220\/0006583801350146"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Fernandez-Llatas, C., Ibanez-Sanchez, G., Celda, A., Mandingorra, J., Aparici-Tortajada, L., Martinez-Millana, A., Munoz-Gama, J., Sep\u00falveda, M., Rojas, E., and G\u00e1lvez, V. (2018, January 9\u201314). Analyzing Medical Emergency Processes with Process Mining: The Stroke Case. Proceedings of the International Conference on Business Process Management, Sydney, Australia.","DOI":"10.1007\/978-3-030-11641-5_17"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Conca, T., Saint-Pierre, C., Herskovic, V., Sep\u00falveda, M., Capurro, D., Prieto, F., and Fernandez-Llatas, C. (2018). Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining. J. Med. Internet Res., 20.","DOI":"10.2196\/jmir.8884"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Gatta, R., Vallati, M., Lenkowicz, J., Casa, C., Cellini, F., Damiani, A., and Valentini, V. (2018, January 17). A Framework for Event Log Generation and Knowledge Representation for Process Mining in Healthcare. Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Volos, Greece.","DOI":"10.1109\/ICTAI.2018.00103"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.artmed.2018.03.004","article-title":"A two-step approach for mining patient treatment pathways in administrative healthcare databases","volume":"87","author":"Najjar","year":"2018","journal-title":"Artif. Intell. Med."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.jbi.2018.06.004","article-title":"A data-driven framework of typical treatment process extraction and evaluation","volume":"83","author":"Chen","year":"2018","journal-title":"J. Biomed. Inform."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1109\/JBHI.2017.2753827","article-title":"Aligning event logs to task-time matrix clinical pathways in BPMN for variance analysis","volume":"22","author":"Yan","year":"2018","journal-title":"J. Biomed. Health Inform."},{"key":"ref_36","unstructured":"Neira, R.A.Q., de Vries, G.J., Caffarel, J., and Stretton, E. (2017, January 21\u201325). Extraction of Data from a Hospital Information System to Perform Process Mining. Proceedings of the World Congress on Medical and Health Informatics MedInfo, Xiamen, China."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.jbi.2016.12.012","article-title":"Temporal electronic phenotyping by mining careflows of breast cancer patients","volume":"66","author":"Dagliati","year":"2017","journal-title":"J. Biomed. Inform."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.ijmedinf.2017.03.011","article-title":"Process mining routinely collected electronic health records to define real-life clinical pathways during chemotherapy","volume":"103","author":"Baker","year":"2017","journal-title":"Int. J. Med. Inform."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.jbi.2018.08.004","article-title":"Probabilistic modeling personalized treatment pathways using electronic health records","volume":"86","author":"Huang","year":"2018","journal-title":"J. Biomed. Inform."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Johnson, O., Dhafari, T.B., Kurniati, A., Fox, F., and Rojas, E. (2018, January 9\u201314). The ClearPath Method for Care Pathway Process Mining and Simulation. Proceedings of the International Conference on Business Process Management, Sydney, Australia.","DOI":"10.1007\/978-3-030-11641-5_19"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Jimenez-Ramirez, A., Barba, I., Reichert, M., Weber, B., and Del Valle, C. (2018, January 11\u201315). Clinical Processes-The Killer Application for Constraint-Based Process Interactions?. Proceedings of the International Conference on Advanced Information Systems Engineering, Tallinn, Estonia.","DOI":"10.1007\/978-3-319-91563-0_23"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.jbi.2015.12.012","article-title":"Incorporating comorbidities into latent treatment pattern mining for clinical pathways","volume":"59","author":"Huang","year":"2016","journal-title":"J. Biomed. Inform."},{"key":"ref_43","unstructured":"World Health Organization (2004). International Statistical Classification of Diseases and Related Health Problems, World Health Organization."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1038\/s41562-016-0021","article-title":"A manifesto for reproducible science","volume":"1","author":"Nosek","year":"2017","journal-title":"Nat. Hum. Behav."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1093\/jamia\/ocz007","article-title":"The journey to transparency, reproducibility, and replicability","volume":"26","author":"Bakken","year":"2019","journal-title":"J. Am. Med. Informatics Assoc."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.datak.2006.04.007","article-title":"IT support for healthcare processes\u2013premises, challenges, perspectives","volume":"61","author":"Lenz","year":"2007","journal-title":"Data Knowl. Eng."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/17\/4\/1348\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:59:09Z","timestamp":1760173149000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/17\/4\/1348"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,19]]},"references-count":46,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2020,2]]}},"alternative-id":["ijerph17041348"],"URL":"https:\/\/doi.org\/10.3390\/ijerph17041348","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,19]]}}}