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Integrated declarative process and decision discovery of the emergency care process

Steven Mertens (UGent) , Frederik Gailly (UGent) , Diederik Van Sassenbroeck and Geert Poels (UGent)
(2022) INFORMATION SYSTEMS FRONTIERS. 24. p.305-327
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Abstract
Deviations and variations are the norm rather than the exception in medical diagnosis and treatment processes. Physicians must leverage their knowledge and experience to choose an appropriate variation for each patient. However, this knowledge and experience is often tacit. Process modeling offers a way to convert tacit to explicit knowledge. Many process mining techniques have been developed due to the difficulty of doing this manually, yet, they often neglect the decisions themselves, and these proposed techniques are just one piece of a comprehensive process discovery method. In this paper, we use the Action Design Research methodology to develop a method for process and decision discovery of medical diagnosis and treatment processes. The method was iteratively improved and validated by applying it to a practical setting, which was the emergency medicine department of a hospital. An analysis of the resulting model shows that previously tacit knowledge was successfully made explicit.
Keywords
Theoretical Computer Science, Computer Networks and Communications, Software, Information Systems, Process discovery, Process mining, Decision mining, Knowledge extraction, Healthcare, Knowledge-intensive, HEALTH-CARE, CLINICAL PATHWAYS, PROCESS MANAGEMENT, PROCESS MODELS, KNOWLEDGE, FRAMEWORK, SUPPORT, FLEXIBILITY, CHALLENGES, QUALITY

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MLA
Mertens, Steven, et al. “Integrated Declarative Process and Decision Discovery of the Emergency Care Process.” INFORMATION SYSTEMS FRONTIERS, vol. 24, 2022, pp. 305–27, doi:10.1007/s10796-020-10078-5.
APA
Mertens, S., Gailly, F., Van Sassenbroeck, D., & Poels, G. (2022). Integrated declarative process and decision discovery of the emergency care process. INFORMATION SYSTEMS FRONTIERS, 24, 305–327. https://doi.org/10.1007/s10796-020-10078-5
Chicago author-date
Mertens, Steven, Frederik Gailly, Diederik Van Sassenbroeck, and Geert Poels. 2022. “Integrated Declarative Process and Decision Discovery of the Emergency Care Process.” INFORMATION SYSTEMS FRONTIERS 24: 305–27. https://doi.org/10.1007/s10796-020-10078-5.
Chicago author-date (all authors)
Mertens, Steven, Frederik Gailly, Diederik Van Sassenbroeck, and Geert Poels. 2022. “Integrated Declarative Process and Decision Discovery of the Emergency Care Process.” INFORMATION SYSTEMS FRONTIERS 24: 305–327. doi:10.1007/s10796-020-10078-5.
Vancouver
1.
Mertens S, Gailly F, Van Sassenbroeck D, Poels G. Integrated declarative process and decision discovery of the emergency care process. INFORMATION SYSTEMS FRONTIERS. 2022;24:305–27.
IEEE
[1]
S. Mertens, F. Gailly, D. Van Sassenbroeck, and G. Poels, “Integrated declarative process and decision discovery of the emergency care process,” INFORMATION SYSTEMS FRONTIERS, vol. 24, pp. 305–327, 2022.
@article{8679874,
  abstract     = {{Deviations and variations are the norm rather than the exception in medical diagnosis and treatment processes. Physicians must leverage their knowledge and experience to choose an appropriate variation for each patient. However, this knowledge and experience is often tacit. Process modeling offers a way to convert tacit to explicit knowledge. Many process mining techniques have been developed due to the difficulty of doing this manually, yet, they often neglect the decisions themselves, and these proposed techniques are just one piece of a comprehensive process discovery method. In this paper, we use the Action Design Research methodology to develop a method for process and decision discovery of medical diagnosis and treatment processes. The method was iteratively improved and validated by applying it to a practical setting, which was the emergency medicine department of a hospital. An analysis of the resulting model shows that previously tacit knowledge was successfully made explicit.}},
  author       = {{Mertens, Steven and Gailly, Frederik and Van Sassenbroeck, Diederik and Poels, Geert}},
  issn         = {{1387-3326}},
  journal      = {{INFORMATION SYSTEMS FRONTIERS}},
  keywords     = {{Theoretical Computer Science,Computer Networks and Communications,Software,Information Systems,Process discovery,Process mining,Decision mining,Knowledge extraction,Healthcare,Knowledge-intensive,HEALTH-CARE,CLINICAL PATHWAYS,PROCESS MANAGEMENT,PROCESS MODELS,KNOWLEDGE,FRAMEWORK,SUPPORT,FLEXIBILITY,CHALLENGES,QUALITY}},
  language     = {{eng}},
  pages        = {{305--327}},
  title        = {{Integrated declarative process and decision discovery of the emergency care process}},
  url          = {{http://doi.org/10.1007/s10796-020-10078-5}},
  volume       = {{24}},
  year         = {{2022}},
}
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