Methods Inf Med
DOI: 10.1055/a-1911-9088

Mansoureh Yari eili

1   computer engineering and IT, university of Qom, Qom, Iran (the Islamic Republic of)

,

Safar Vafadar

2   Institute of Biochemistry and Biophysics, Tehran University, Tehran, Iran (the Islamic Republic of) (Ringgold ID: RIN48425)

,

Jalal Rezaeenour

3   industrial engineering, University of Qom, Qom, Iran (the Islamic Republic of)

,

Mahdi Sharif-Alhoseini

4   Sina Trauma and Surgery Research Center,, Tehran University of Medical Sciences School of Medicine, Tehran, Iran (the Islamic Republic of) (Ringgold ID: RIN48504)

Background: Though the process mining algorithms have evolved in the past decade, the lack of attention to extracting event logs from raw data of databases in an automatic manner is evident. These logs are available in a process-oriented manner in the process-aware information systems. Still, there are areas where their extraction is a challenge to address (e.g., trauma registries). Objective: The registry data are recorded manually and follow an unstructured ad-hoc pattern; prone to high noises and errors; consequently, registry logs are classified at a maturity level of one, and extracting process-centric information is not a trivial task therein. The experiences made during the event log building from the trauma registry are the subjects to be studied. Results: The result indicates that the three-phase self-service registry log builder tool can withstand the mentioned issues by filtering and enriching the raw data and making them ready for any level of process mining analysis. This proposed tool is demonstrated through process discovery in the National Trauma Registry of Iran, and the encountered challenges and limitations are reported. Conclusion: This tool is an interactive visual event log builder for trauma registry data and is freely available for studies involving other registries. In conclusion, future research directions derived from this case study are suggested.

Received: 01 January 2022

Accepted after revision: 25 July 2022

Accepted Manuscript online:
28 July 2022

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