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Developing Process Performance Indicators for Emergency Room Processes

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Business Process Management Workshops (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 362))

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Abstract

In a healthcare environment, it is essential to manage the emergency room process since its connectivity to the quality of care. In managing clinical operations, quantitative process performance analysis is typically performed with process mining, and there have been several approaches to utilize process mining in emergency room process analysis. These research provide a comprehensive methodology to analyze the emergency room processes using process mining; however, performance indicators for directly assessing the emergency room processes are lacking. To overcome the limitation, this paper proposes a framework of process performance indicators utilized in emergency rooms. The proposed framework starts with the devil’s quadrangle, i.e., time, cost, quality, and flexibility. Based on four perspectives, we suggest specific process performance indicators with a formal explanation. To validate the applicability of this research, we present a case study result with the real-life clinical data collected from a tertiary hospital in Korea.

This work was supported by clinical research grant from Pusan National University Hospital and the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-0-01441) supervised by the IITP (Institute for Information & communications Technology Promotion).

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References

  1. Baek, H., Cho, M., Kim, S., Hwang, H., Song, M., Yoo, S.: Analysis of length of hospital stay using electronic health records: a statistical and data mining approach. PLoS ONE 13(4), e0195901 (2018)

    Article  Google Scholar 

  2. Berner, E.S.: Clinical Decision Support Systems, vol. 233. Springer, Cham (2007). https://doi.org/10.1007/978-3-319-31913-1

    Book  Google Scholar 

  3. Cho, M., Song, M., Comuzzi, M., Yoo, S.: Evaluating the effect of best practices for business process redesign: an evidence-based approach based on process mining techniques. Decis. Support Syst. 104, 92–103 (2017)

    Article  Google Scholar 

  4. Cho, M., Song, M., Yoo, S., Reijers, H.A.: An evidence-based decision support framework for clinician medical scheduling. IEEE Access 7, 15239–15249 (2019)

    Article  Google Scholar 

  5. Del-Río-Ortega, A., Resinas, M., Cabanillas, C., Ruiz-Cortés, A.: On the definition and design-time analysis of process performance indicators. Inf. Syst. 38(4), 470–490 (2013)

    Article  Google Scholar 

  6. Derlet, R.W., Richards, J.R.: Overcrowding in the nation’s emergency departments: complex causes and disturbing effects. Ann. Emerg. Med. 35(1), 63–68 (2000)

    Article  Google Scholar 

  7. Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A., et al.: Fundamentals of Business Process Management, vol. 1. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-33143-5

    Book  Google Scholar 

  8. Fernandez-Llatas, C., et al.: Analyzing medical emergency processes with process mining: the stroke case. In: Daniel, F., Sheng, Q.Z., Motahari, H. (eds.) BPM 2018. LNBIP, vol. 342, pp. 214–225. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11641-5_17

    Chapter  Google Scholar 

  9. Gray, J.A.M.: Evidence-Based Healthcare and Public Health: How to Make Decisions About Health Services and Public Health. Elsevier Health Sciences (2009)

    Google Scholar 

  10. Günther, C.W., Rozinat, A.: Disco: discover your processes. BPM (Demos) 940, 40–44 (2012)

    Google Scholar 

  11. Kueng, P.: Process performance measurement system: a tool to support process-based organizations. Total Qual. Manag. 11(1), 67–85 (2000)

    Article  Google Scholar 

  12. Kwon, H., et al.: The Korean triage and acuity scale: associations with admission, disposition, mortality and length of stay in the emergency department. Int. J. Qual. Health Care 31(6), 449–455 (2019)

    Article  Google Scholar 

  13. Leu, J.D., Huang, Y.T.: An application of business process method to the clinical efficiency of hospital. J. Med. Syst. 35(3), 409–421 (2011)

    Article  Google Scholar 

  14. Mans, R.S., van der Aalst, W.M., Vanwersch, R.J.: Process Mining in Healthcare: Evaluating and Exploiting Operational Healthcare Processes. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-319-16071-9

    Book  Google Scholar 

  15. Mans, R.S., Schonenberg, M.H., Song, M., van der Aalst, W.M.P., Bakker, P.J.M.: Application of process mining in healthcare – a case study in a Dutch hospital. In: Fred, A., Filipe, J., Gamboa, H. (eds.) BIOSTEC 2008. CCIS, vol. 25, pp. 425–438. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-92219-3_32

    Chapter  Google Scholar 

  16. PuzzleData: Prodiscovery. http://demo.prodiscovery.co.kr. Accessed 17 May 2019

  17. Rebuge, Á., Ferreira, D.R.: Business process analysis in healthcare environments: a methodology based on process mining. Inf. Syst. 37(2), 99–116 (2012)

    Article  Google Scholar 

  18. Rojas, E., Cifuentes, A., Burattin, A., Munoz-Gama, J., Sepúlveda, M., Capurro, D.: Performance analysis of emergency room episodes through process mining. Int. J. Environ. Res. Public Health 16(7), 1274 (2019)

    Article  Google Scholar 

  19. Rojas, E., Munoz-Gama, J., Sepúlveda, M., Capurro, D.: Process mining in healthcare: a literature review. J. Biomed. Inform. 61, 224–236 (2016)

    Article  Google Scholar 

  20. Rojas, E., Sepúlveda, M., Munoz-Gama, J., Capurro, D., Traver, V., Fernandez-Llatas, C.: Question-driven methodology for analyzing emergency room processes using process mining. Appl. Sci. 7(3), 302 (2017)

    Article  Google Scholar 

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Correspondence to Minseok Song .

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Cho, M., Song, M., Yeom, SR., Wang, IJ., Choi, BK. (2019). Developing Process Performance Indicators for Emergency Room Processes. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_42

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  • DOI: https://doi.org/10.1007/978-3-030-37453-2_42

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  • Print ISBN: 978-3-030-37452-5

  • Online ISBN: 978-3-030-37453-2

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