Skip to main content
SpringerLink
Log in

An Overview of Benefits and Limitations of the Process Model Notation Applied for Modeling Patient Healthcare Trajectory

  • Conference paper
  • First Online:
Operations Research for Health Care in Red Zone (ORAHS 2022)

Part of the book series: AIRO Springer Series ((AIROSS,volume 10))

Included in the following conference series:

  • 138 Accesses

Abstract

The use of the business process model notation (BPMN) in modeling health care trajectory has been applied in the last decades in health care organizations for several aims, such as increasing efficiency and efficacy, improving patient outcomes and reducing costs. In scientific literature, many systematic reviews have been published about this topic and all of them have been inconclusive regarding the effectiveness of BPMN in modeling health care trajectory. The objective of this study is to describe the use of BPMN in health trajectory, proposing a review that will define the main advantages and limitations of the decision modeling, highlighting areas of improvement on its ability to support clinical activities and decision-making processes. We propose the preliminary results of a review of the literature reporting the use of the BPMN approach for optimizing healthcare trajectories. The findings support the use of BPMN as a feasible and useful methodology to design and optimize clinical processes, as well as to automate tasks. However, the complexity of the healthcare domain makes process modeling such as BPMN a challenging task, for this reason the use of additional notations is proposed as alternative solutions to address the complexity.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Organisation for Economic Co-operation and Development. Caring for quality in health . Organisation for Economic Co-operation and Development (2017). https://www.oecd.org/els/health-systems/Caring-for-Quality-in-Health-Final-report.pdf. Last accessed 09 Sept 2022

  2. Organisation for Economic Co-operation and Development. Health at a glance (2021). https://www.oecd.org/health/health-at-a-glance/. Last accessed 09 Sept 2022

  3. Gauld, R., Burgers, J., Dobrow, M., et al.: Healthcare system performance improvement: a comparison of key policies in seven high-income countries. J. Health Organ. Manag. 28, 2–20 (2014)

    Article  Google Scholar 

  4. Lee, S.E., Scott, L.D., Dahinten, V.S., et al.: Safety culture, patient safety, and quality of care outcomes: a literature review. West J. Nurs. Res. 41, 279–304 (2019)

    Article  Google Scholar 

  5. Kruk, M.E., Gage, A.D., Arsenault, C., et al.: High-Quality health systems in the sustainable development goals era: time for a revolution. Lancet Global Health 6, e1196-1252 (2018)

    Article  Google Scholar 

  6. Baker, A.: Crossing the quality chasm: a new health system for the 21st century. Br. Med. J. Publ. Group (2001)

    Google Scholar 

  7. Bergin, R.J., Whitfield, K., White, V., et al.: Optimal care pathways: a national policy to improve quality of cancer care and address inequalities in cancer outcomes. J. Cancer Policy 25(100245) (2020)

    Google Scholar 

  8. Allen, D., Gillen, E., Rixson, L.: Systematic review of the effectiveness of integrated care pathways: what works, for whom, in which circumstances? Int. J. Evid. Based Healthc. 7, 61–74 (2009)

    Article  Google Scholar 

  9. Lodewijckx, C., Sermeus, W., Panella, M., et al.: Impact of care pathways for in-hospital management of COPD exacerbation: a systematic review. Int. J. Nurs. Stud. 48, 1445–1456 (2011)

    Google Scholar 

  10. Alkandari, M., Ryan, K., Hollywood, A.: The experiences of people living with peripheral neuropathy in Kuwait—a process map of the patient journey. Pharmacy 7(127) (2019)

    Google Scholar 

  11. Ferreira, A.S., Oliveira, G.R.: Business process modeling: a webibliominig perspective of architecture frameworks. Ind. J. Manag. Prod. 10, 1159–1183 (2019)

    Article  Google Scholar 

  12. Geiger, M., Harrer, S., Lenhard, J., Wirtz, G.: BPMN 2.0: The state of support and implementation. Futur. Gener. Comput. Syst. 80, 250–262 (2018)

    Google Scholar 

  13. Gartner, J.B., Abasse, K.S., Bergeron, F., Landa, P., Lemaire, C., Côté, A.: Definition and conceptualization of the patient-centered care pathway, a proposed integrative framework for consensus: a Concept analysis and systematic review. BMC Health Serv. Res. 22(558) (2022)

    Google Scholar 

  14. Rosing, M.V., White, S., Cummins, F.A., & Man, H.D.: Business Process Model and Notation—BPMN. The Complete Business Process Handbook, vol. I. Elsevier (2015)

    Google Scholar 

  15. Chinosi, M., Trombetta, A.: BPMN: An introduction to the standard. Comput. Standards Interfaces 34(1), 124–134 (2012)

    Article  Google Scholar 

  16. OMG: Decision Model and Notation 1.1 (2016). https://www.omg.org/spec/DMN/1.1/About-DMN/. Last accessed 09 Sept 2022

  17. Eid-Sabbagh, R.H., Hewelt, M., Weske, M.: A tool for business process architecture analysis. In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds.) Service-Oriented Computing. ICSOC 2013. Lecture Notes in Computer Science, vol. 8274. Springer, Berlin (2013)

    Google Scholar 

  18. Hasić, F., Devadder, L., Dochez, M., Hanot, J., De Smedt, J., Vanthienen, J.: Challenges in refactoring processes to include decision modelling. In: Teniente, E., Weidlich, M. (eds.) BPM 2017. LNBIP, vol. 308, pp. 529–541. Springer, Cham (2018)

    Google Scholar 

  19. De Smedt, J., Hasić, F., vanden Broucke, S.K.L.M., Vanthienen, J.: Towards a holistic discovery of decisions in process-aware information systems. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNCS, vol. 10445, pp. 183–199. Springer, Cham (2017)

    Google Scholar 

  20. Horita, F.E., de Albuquerque, J.P., Marchezini, V., Mendiondo, E.M.: Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in brazil. Decis. Support Syst. 97, 12–22 (2017)

    Article  Google Scholar 

  21. Biard, T., Le Mauff, A., Bigand, M., Bourey, J.-P.: Separation of decision modeling from business process modeling using new decision model and notation (DMN) for automating operational decision-making. In: Camarinha-Matos, L.M., Bénaben, F., Picard, W. (eds.) PRO-VE 2015. IAICT, vol. 463, pp. 489–496. Springer, Cham (2015)

    Google Scholar 

  22. Hu, J., Aghakhani, G., Hasić, F., Serral, E.: An evaluation framework for design-time context-adaptation of process modelling languages. In: Poels, G., Gailly, F., Serral Asensio, E., Snoeck, M. (eds.) PoEM 2017. LNBIP, vol. 305, pp. 112–125. Springer, Cham (2017)

    Google Scholar 

  23. Hasić, F., De Smedt, J., Vanthienen, J.: Augmenting processes with decision intelligence: principles for integrated modelling. Decis. Support Syst. 107, 1–12 (2018)

    Article  Google Scholar 

  24. Marin, M.A, Lotriet, H., Van Der Poll, J.A.: Measuring Method Complexity of the Case Management Modeling and Notation (CMMN). In: Proceedings of the Southern African Institute for Computer Scientist and Information Technologists Annual Conference 2014 on SAICSIT 2014 Empowered by Technology (SAICSIT ‘14). Association for Computing Machinery, New York, NY, USA, pp. 209–216 (2014).

    Google Scholar 

  25. van der Aalst, W.M.P., Weske, M., Grünbauer, D.: Case handling: a new paradigm for business process support. Data Knowl. Eng. 53(2), 129–162 (2005)

    Article  Google Scholar 

  26. Swenson, K., Palmer, N. and Pucher, M., 2012. Case management: contrasting production versus adaptive. How knowledge workers get things done, pp.109–118

    Google Scholar 

  27. Kassim, S.A., Gartner, J.B., Labbé, L., et al.: Benefits and limitations of business process model notation in modelling patient healthcare trajectory: a scoping review protocol. BMJ Open 12(060357) (2022)

    Google Scholar 

  28. Peterson, J., Pearce, P.F., Ferguson, L.A., Langford, C.A.: Understanding scoping reviews: Definition, purpose, and process. J. Am. Assoc. Nurse Pract. 29, 12–16 (2017)

    Article  Google Scholar 

  29. Munn, Z., Peters, M.D.J., Stern, C., et al.: Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med. Res. Methodol. 18(143) (2018)

    Google Scholar 

  30. Arksey, H., O’Malley, L.: Scoping studies: towards a methodological framework. Int. J. Soc. Res. Methodol. 8, 19–32 (2005)

    Article  Google Scholar 

  31. Levac, D., Colquhoun, H., O’Brien, K.K.: Scoping studies: advancing the methodology. Implement. Sci. 5, 1–9 (2010)

    Article  Google Scholar 

  32. Tricco, A.C., Lillie, E., Zarin, W.: A scoping review on the conduct and reporting of scoping reviews. BMC Med. Res. Methodol. 16, 1–10 (2016)

    Article  Google Scholar 

  33. Tricco, A.C., Lillie, E., Zarin, W., et al.: PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann. Intern. Med. 169, 467–473 (2018)

    Article  Google Scholar 

  34. Grosskopf, A., Edelman, J., Weske, M.: Tangible business process modeling—methodology and experiment design. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) Business Process Management Workshops. BPM 2009. Lecture Notes in Business Information Processing, vol. 43. Springer, Berlin (2020)

    Google Scholar 

  35. Lario, R., Hasley, S., White, S,A,, Eilbeck, K., Soley, R., Huff, S., Kawamoto, K.: Utilization of BPM+ Health for the Representation of Clinical Knowledge: A Framework for the Expression and Assessment of Clinical Practice Guidelines (CPG) Utilizing Existing and Emerging Object Management Group (OMG) Standards. AMIA Annual Symposium Proceedings, pp. 687–696 (2021)

    Google Scholar 

  36. Ajmi, I., Zgaya, H., Gammoudi, L., Hammadi, S., Martinot, A., Beuscart, R., Renard, J.M.: Mapping patient path in the pediatric emergency department: A workflow model driven approach. J. Biomed. Inform. 54, 315–328 (2015)

    Article  Google Scholar 

  37. Ateetanan, P., Usanavasin, S., Shirahada, K., Supnithi, T.: From service design to enterprise architecture:the alignment of service blueprint and business architecture with business process model and notation. In: Hara, Y., Karagiannis, D. (eds.) Serviceology for Services. ICServ 2017. Lecture Notes in Computer Science, vol. 10371. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61240-9_19

  38. Barbagallo, S., Corradi, L., de Ville de Goyet, J., Iannucci, M., Porro, I., Rosso, N., Tanfani, E., Testi, A.: Optimization and planning of operating theatre activities: an original definition of pathways and process modeling. BMC Med. Inform. Decis. Mak. 17(15), 38 (2015). https://doi.org/10.1186/s12911-015-0161-7. PMID: 25982033; PMCID: PMC4436841.

  39. Bazhenova, E., Zerbato, F., Oliboni, B., Weske, M.: From BPMN process models to DMN decision models. Inf. Syst. 83, 69–88 (2019). ISSN 0306–4379, https://doi.org/10.1016/j.is.2019.02.001

  40. Ben Hassen, M., Keskes, M., Turki, M., Gargouri, F.: BPMN4KM: design and implementation of a BPMN extension for modeling the knowledge perspective of sensitive business processes. Procedia Comput. Sci. 121, 1119–1134 (2017). ISSN 1877–0509, https://doi.org/10.1016/j.procs.2017.12.121

  41. Bisogno, S., Calabrese, A., Gastaldi, M. and Levialdi Ghiron, N.: Combining modelling and simulation approaches: How to measure performance of business processes. Bus. Process Manag. J. 22(1), 56–74 (2016). https://doi.org/10.1108/BPMJ-02-2015-0021

  42. Braun, R., Schlieter, H., Burwitz, M., Esswein, W.: BPMN4CP revised—extending BPMN for multi-perspective modeling of clinical pathways. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 3249–3258 (2016). https://doi.org/10.1109/HICSS.2016.407

  43. Braun, R., Schlieter, H., Burwitz, M., Esswein, W.: BPMN4CP: Design and implementation of a BPMN extension for clinical pathways. In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp 9–16 (2014). https://doi.org/10.1109/BIBM.2014.6999261

  44. Çatal, N., Amyot, D., Michalowski, W., Kezadri-Hamiaz, M., Baslyman, M., Wilk, S., Giffen, R.: Supporting process execution by interdisciplinary healthcare teams: Middleware design for IBM BPM. Procedia Comput. Sci. 113, 376–383 (2017). ISSN 1877–0509, https://doi.org/10.1016/j.procs.2017.08.350.

  45. Combi, C., Oliboni, B., Zardiniy, A., Zerbato, F.: Seamless design of decision-intensive care pathways. In: 2016 IEEE International Conference on Healthcare Informatics (ICHI), pp 35–45 (2016). https://doi.org/10.1109/ICHI.2016.9

  46. Combi, C., Oliboni, B., Zerbato, F.: Towards dynamic duration constraints for therapy and monitoring tasks. In: Ten Teije, A., Popow, C., Holmes, J., Sacchi, L. (eds.) Artificial Intelligence in Medicine. AIME 2017. Lecture Notes in Computer Science, vol. 10259. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59758-4_2

  47. Crisan-Vida, M., Marcovici, A., Stoicu-Tivadar, L.: ICT solution for assisted diagnosis based on monitoring in cardiology departments. In: 2013 E-Health and Bioengineering Conference (EHB), pp. 1–4 (2013). https://doi.org/10.1109/EHB.2013.6707337

  48. Cutting, E.M., Overby, C.L., Banchero, M., Pollin, T., Kelemen, M., Shuldiner, A.R., Beitelshees, A.L.: Using workflow modeling to identify areas to improve genetic test processes in the University of Maryland Translational Pharmacogenomics Project. In: AMIA Annual Symposium Proceedings, pp. 466–74. PMID: 26958179; PMCID: PMC4765659

    Google Scholar 

  49. de Bruin, J.S., Adlassnig, K.P., Leitich, H., Rappelsberger, A.: Separating business logic from medical knowledge in digital clinical workflows using business process model and notation and arden syntax. Stud. Health Technol. Inform. 248, 17–24 (2018). PMID: 29726414

    Google Scholar 

  50. Eklund, P., Johansson, M., Karlsson, J., Åström, R.: BPMN and its semantics for information management in emergency care. In: 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, pp. 273–278. https://doi.org/10.1109/ICCIT.2009.27

  51. Fox, J., Black, E., Chronakis, I., Dunlop, R., Patkar, V., South, M., Thomson, R.: From guidelines to careflows: modelling and supporting complex clinical processes. Stud. Health Technol. Inform. 139, 44–62 (2008). PMID: 18806320

    Google Scholar 

  52. Haouari, G., Ayachi Ghannouchi, S.: Quality assessment of an emergency care process model based on static and dynamic metrics. Procedia Comput. Sci. 121, 843–851 (2017). ISSN 1877–0509, https://doi.org/10.1016/j.procs.2017.11.109

  53. Hewelt, M., Kunde, A., Weske, M., Meinel, C.: Recommendations for medical treatment processes: The PIGS approach. In: Fournier, F., Mendling, J. (eds.) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol. 202. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15895-2_2

  54. Ilahi, L., Martinho, R., Ghannouchi, S.A., Domingos, D., Rijo, R.: Similarity based approach for comparing home healthcare processes models in Portugal. Procedia Comput. Sci. 100, 1250–1259 (2016)

    Article  Google Scholar 

  55. Jimenez-Molina, A., Gaete-Villegas, J., Fuentes, J.: ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients’ management. J. Biomed. Inform. 82, 106–127 (2018). https://doi.org/10.1016/j.jbi.2018.04.001. Epub 2018 Apr 5. PMID: 29627462

  56. Kopecky, M., Tomaskova, H.: The business process model and notation used for the representation of Alzheimer’s Disease patients care process. Data 5(1), 16 (2020). https://doi.org/10.3390/data5010016

    Article  Google Scholar 

  57. Lamine, E., Tawil, A.R.H., Bastide, R., Pingaud, H.: Ontology-based workflow design for the coordination of homecare interventions. In: Camarinha-Matos, L.M., Afsarmanesh, H. (eds.) Collaborative Systems for Smart Networked Environments. PRO-VE 2014. IFIP Advances in Information and Communication Technology, vol. 434. Springer, Berlin (2014). https://doi.org/10.1007/978-3-662-44745-1_67

  58. Nan, S., Van Gorp, P., Lu, X., et al.: A meta-model for computer executable dynamic clinical safety checklists. BMC Med. Inform. Decis. Mak. 17, 170 (2017). https://doi.org/10.1186/s12911-017-0551-0

    Article  Google Scholar 

  59. Neumann, J., Franke, S., Rockstroh, M., Kasparick, M., Neumuth, T.: Extending BPMN 2.0 for intraoperative workflow modeling with IEEE 11073 SDC for description and orchestration of interoperable, networked medical devices. Int. J. Comput. Assist. Radiol. Surg. 14(8), 1403–1413 (2019). https://doi.org/10.1007/s11548-019-01982-6. Epub 2019 May 4. PMID: 31055764

  60. Peres Penteado, A., Molina Cohrs, F., Diniz Hummel, A., Erbs, J., Maciel, R.F., Feijó Ortolani, C.L., de Aguiar, R.B., Torres, P.I.: Kidney transplantation process in Brazil represented in business process modeling notation. Transplant Proc. 47(4), 963–966 (2015). https://doi.org/10.1016/j.transproceed.2015.03.044. PMID: 26036495

    Article  Google Scholar 

  61. Poulymenopoulou, M., Papakonstantinou, D., Malamateniou, F., Vassilacopoulos, G.: Adaptive healthcare processes for personalized emergency clinical pathways. Stud. Health Technol. Inform. 205, 423–427 (2014). PMID: 25160219

    Google Scholar 

  62. Ramos-Merino, M., Álvarez-Sabucedo, L.M., Santos-Gago, J.M., et al.: A BPMN based notation for the representation of workflows in hospital protocols. J. Med. Syst. 42, 181 (2018). https://doi.org/10.1007/s10916-018-1034-2

    Article  Google Scholar 

  63. Rodriguez-Loya, S., Aziz, A., Chatwin, C.: A service oriented approach for guidelines-based clinical decision support using BPMN. Stud Health Technol Inform. 205, 43–47 (2014). PMID: 25160142

    Google Scholar 

  64. Ruiz-Fernández, D., Marcos-Jorquera, D., Gilart-Iglesias, V., Vives-Boix, V., Ramírez-Navarro, J.: Empowerment of patients with hypertension through BPM, IoT and remote sensing. Sensors (Basel) 17(10), 2273 (2017). https://doi.org/10.3390/s17102273.PMID:28976940;PMCID:PMC5677452

    Article  Google Scholar 

  65. Russo, V., Ciampi, M., Esposito, M.: A business process model for integrated home care. Procedia Comput. Sci. 63, 300–307 (2015). ISSN 1877–0509, https://doi.org/10.1016/j.procs.2015.08.347

  66. Scheuerlein, H., Rauchfuss, F., Dittmar, Y., Molle, R., Lehmann, T., Pienkos, N., Settmacher, U.: New methods for clinical pathways-Business Process Modeling Notation (BPMN) and Tangible Business Process Modeling (t.BPM). Langenbecks Arch. Surg. 397(5), 755–761 (2012). https://doi.org/10.1007/s00423-012-0914-z. Epub 2012 Feb 24. PMID: 22362053

  67. Sooter, L.J., Hasley, S., Lario, R., Rubin, K.S., Hasić, F.: Modeling a clinical pathway for contraception. Appl. Clin. Inform. 10(5), 935–943 (2019). https://doi.org/10.1055/s-0039-3400749. Epub 2019 Dec 11. PMID: 31860113; PMCID: PMC6924335.

  68. Svagård, I., Farshchian, B.A.: Using business process modelling to model integrated care processes: experiences from a european project. In: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol. 5518. Springer, Berlin (2009). https://doi.org/10.1007/978-3-642-02481-8_140

  69. Tomaskova, H., Kopecky, M., Maresova, P.: Process cost management of Alzheimer’s disease. Processes 7(9), 582 (2019). https://doi.org/10.3390/pr7090582

    Article  Google Scholar 

  70. Vandborg, M.P., Edwards, K., Kragstrup, J., Vedsted, P., Hansen, D.G., Mogensen, O.: A new method for analyzing diagnostic delay in gynecological cancer. Int. J. Gynecol. Cancer. 22(5), 712–717 (2012). https://doi.org/10.1097/IGC.0b013e31824c6d0e. PMID: 22453532

    Article  Google Scholar 

  71. Vinci, A.L.T., Barbosa, F., de Pádua, S.I.D., Rijo, R., Alves, D.: The process of outpatient care of children and adolescents in a tertiary-level hospital specializing in pediatrics: A case study focused on identifying opportunities for improvement with the aid of modeling using BPMN. Knowl. Process Manag. 25, 193–206 (2018). https://doi.org/10.1002/kpm.1571

    Article  Google Scholar 

  72. Weber, P., Filho, J.B.F., Bordbar, B., Lee, M., Litchfield, I., Backman, R.: Automated conflict detection between medical care pathways. J. Softw. Evol. Proc. 30, e1898 (2018). https://doi.org/10.1002/smr.1898

    Article  Google Scholar 

  73. Wiemuth, M., Junger, D., Leitritz, M.A., et al.: Application fields for the new Object Management Group (OMG) Standards Case Management Model and Notation (CMMN) and Decision Management Notation (DMN) in the perioperative field. Int. J. CARS 12, 1439–1449 (2017). https://doi.org/10.1007/s11548-017-1608-3

    Article  Google Scholar 

  74. Zerbato, F., Oliboni, B., Combi, C., Campos, M., Juarez, J.M.: BPMN-based representation and comparison of clinical pathways for catheter-related bloodstream infections. Int. C. Healthcare Inf. 2015, 346–355 (2015). https://doi.org/10.1109/ICHI.2015.49

    Article  Google Scholar 

  75. Rodrigues, A.L., Torres, F.B.G., Santos, E.A.P., Cubas, M.R.: Process modeling: technological innovation to control the risk for perioperative positioning injury. Rev. Bras. Enferm. 74(suppl 6), e20200145 (2021). English, Portuguese. https://doi.org/10.1590/0034-7167-2020-0145. PMID: 34495212

  76. Zarour, K., Benmerzoug, D., Guermouche, N., Drira, K.: A systematic literature review on BPMN extensions. Bus. Process. Manag. J. 26(6), 1473–1503 (2020). https://doi.org/10.1108/BPMJ-01-2019-0040

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Département d’opérations et systèmes de décision – Faculté des sciences de l’administration, Université Laval, Quebec, QC, G1V 0A6, Canada

    Paolo Landa & Matthew Haren

  2. Département de Management – Faculté des sciences de l’administration, Université Laval, Quebec, QC, G1V 0A6, Canada

    Jean-Baptiste Gartner, Matthew Haren, Kassim Said Abasse & André Côté

  3. Centre de Recherche CHU de Québec, Université Laval, Quebec, QC, Canada

    Paolo Landa, Jean-Baptiste Gartner, Matthew Haren, Kassim Said Abasse & Catherine Paquet

  4. Centre de Recherche en Gestion Des Services de Santé, Université Laval, Quebec, QC, Canada

    Jean-Baptiste Gartner, Matthew Haren, Kassim Said Abasse & André Côté

  5. VITAM Centre de Recherche en Santé Durable, Université Laval, Quebec, QC, Canada

    Jean-Baptiste Gartner, Matthew Haren, Kassim Said Abasse & André Côté

  6. Département de Marketing – Faculté des sciences de l’administration, Université Lava, Quebec, QC, Canada

    Matthew Haren & Catherine Paquet

  7. Centre de Recherche du CISSS de Chaudiére-Appalaches, CISSS de Chaudiére-Appalaches, Quebec, QC, Canada

    Jean-Baptiste Gartner, Matthew Haren, Kassim Said Abasse & André Côté

  8. Centre Nutrition, Santé Et Société (NUTRISS), INAF, Université Laval, Quebec, QC, Canada

    Matthew Haren & Catherine Paquet

  9. Université Laval, Direction Des Services-Conseils, Quebec, QC, Canada

    Matthew Haren & Frédéric Bergeron

  10. Laboratoire Humanis, EM Strasbourg-Business School, Université de Strasbourg, Strasbourg, France

    Matthew Haren & Célia Lemaire

  11. Centre Interuniversitaire de Recherche Sur Les Réseaux d’entreprise, La Logistique et Le Transport (CIRRELT), Université Laval, Quebec, QC, Canada

    Paolo Landa & Matthew Haren

  12. Groupe de Recherche en Écologie Buccale (GREB), Université Laval, Quebec, QC, Canada

    Paolo Landa & Matthew Haren

  13. Dipartimento di Economia, Università degli studi di Genova, Genoa, Italy

    Elena Tànfani

Authors
  1. Paolo Landa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jean-Baptiste Gartner
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Matthew Haren
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Célia Lemaire
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Kassim Said Abasse
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Catherine Paquet
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Frédéric Bergeron
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Elena Tànfani
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. André Côté
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paolo Landa .

Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Torino, Torino, Italy

    Roberto Aringhieri

  2. Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione, Università degli Studi di Bergamo, Dalmine, Bergamo, Italy

    Francesca Maggioni

  3. Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione, Università degli Studi di Bergamo, Dalmine, Bergamo, Italy

    Ettore Lanzarone

  4. University of Twente, Enschede, The Netherlands

    Melanie Reuter-Oppermann

  5. Dipartimento di Informatica, Università degli Studi di Milano, Milano, Italy

    Giovanni Righini

  6. Dipartimento di Ingegneria Gestionale, dell'Informazione e della Produzione, Università degli Studi di Bergamo, Dalmine, Bergamo, Italy

    Maria Teresa Vespucci

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Landa, P. et al. (2023). An Overview of Benefits and Limitations of the Process Model Notation Applied for Modeling Patient Healthcare Trajectory. In: Aringhieri, R., Maggioni, F., Lanzarone, E., Reuter-Oppermann, M., Righini, G., Vespucci, M.T. (eds) Operations Research for Health Care in Red Zone. ORAHS 2022. AIRO Springer Series, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-031-38537-7_3

Download citation

Publish with us

Policies and ethics

Search

Navigation