PROCESS MINING FOR CHECK-UP PROCESS ANALYSIS


Doğan O.

IIOAB JOURNAL, cilt.9, sa.6, ss.56-61, 2018 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 6
  • Basım Tarihi: 2018
  • Dergi Adı: IIOAB JOURNAL
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Biotechnology Research Abstracts, EMBASE
  • Sayfa Sayıları: ss.56-61
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Background: Healthcare environment has a critical importance for several reasons. First of all, health is one of the most valuable wealth in human life. There have been many studies to develop clinical processes by optimizing resources, reducing the waiting time, increasing the patient satisfactory. In Turkey, majority of the healthcare processes are monitored, managed and improved in ad hoc, manual and labor-intensive ways. Since healthcare processes are complicated and flexible, and have huge number of data, this process management methods are insufficient and ineffective. Methods: In this study, we use process mining technique to analyze check-up processes. Process mining uses event logs to automatically extract information about the process. It can be seen as a missing link between data science and process science. Results: We examined 372 events, 732 cases, and 9 different activities in this study. Bloodletting is the mostly occurred activity. At the same time, it increases 'Patient Record' occurrence due to the dominant loop. The average duration of a check-up is 59.5 hours. Conclusions: Process mining techniques provides an easy to use way to success a global view of the processes. With the results of the process mining, the health professionals and managers can achieve a real view of the problems that are currently happening in the analyzed area. It also helps to improve complex processes in hospitals.