Improving Patient’s Satisfaction at Urgent Care Clinics by Using Simulation-based Risk Analysis and Quality Improvement

Sajadnia, Sahar and Heidarzadeh, Elham (2016): Improving Patient’s Satisfaction at Urgent Care Clinics by Using Simulation-based Risk Analysis and Quality Improvement.

Abstract

Several factors are expected to significantly increase stakeholders’ interest in healthcare simulation studies in the foreseeable future, e.g., the use of metrics for performance measurement, and increasing patients’ expectations. Total time spent by a patient as an important issue leads to patients’ dissatisfaction which should be improved in any healthcare facility. We reported on the use of discrete event simulation modeling, quality function deployment (QFD) and failure mode effects analysis (FMEA) to support process improvements at urgent care clinics. The modeling helped identify improvement alternatives such as optimized healthcare facility staff numbers. It also showed that lack of identified role for all team members and inconsistent process of ordering and receiving blood products and lab results are crucial failures that may occur. Moreover, using experienced staff and forcing staff to follow correct procedures are important technical aspects of improving the urgent care clinics in order to increase patient’s satisfaction. Quantitative results from the modeling provided motivation to implement the improvements. Statistical analysis of data taken before and after the implementation indicate that total time spent by a patient was significantly improved and the after result of waiting time is also decreased.

• Item Type: MPRA Paper
• Language: English
• Keywords: Urgent care, discrete event simulation, quality function deployment (QFD), failure mode effects analysis (FMEA), process improvement.
• Subjects: I - Health, Education, and Welfare > I1 - Health; I - Health, Education, and Welfare > I1 - Health > I11 - Analysis of Health Care Markets; I - Health, Education, and Welfare > I1 - Health > I15 - Health and Economic Development

References

[1] K. McCarthy, H.M. McGee, C.A. O’Boyle, “Urgent Care Clinic Waiting Times and Non-attendance as Indicators of Quality,” J. Psych Health Med, Volume No. 5, PP. 287–293, 2000.

[2] R. Blizzard, “Patient Satisfaction Starts in the Waiting Room,” J. Gallup Poll News Service, Volume No. 30, PP. 40-48, 2009.

[3] C.J. Ho, H.S. Lau, “Minimizing Total Cost in Scheduling Outpatient Appointments,” J. Management Science, Volume No. 38, PP. 1750-1764, 1992.

[4] P.R. Harper, H.M. Gamlin, “Reduced Outpatient Waiting Times with Improved Appointment Scheduling: a Simulation Modeling Approach,” J. OR Spectrum, Volume No. 25, PP. 207-222, 2003.

[5] S.J. Shim, A Kuma, “Simulation for Emergency Care Process Reengineering in Hospitals,” J. Business Process Management, Volume No. 16, PP. 795-805, 2010.

[6] Mazur, Glenn. “History of QFD” http://www.qfdi.org/what_is_qfd/history_of_qfd.html

[7] QFD online. “House of Quality Example”.2007-2010 http://www.qfdonline.com/qfd-tutorials/house-of-quality-qfd-example/

[8] Failure modes and effects analysis in health care: Proactive risk reduction. Joint Commission Resources. Chicago: Joint Commission; 2005.

[9] Akar, Navid, Elaheh Daj, and Shahrooz Sharifi Boroojerdi. "Using Fuzzy Quality Function Deployment in Improving Reliabality of Wind Power Systems." (2016).

[10] Feili, H. R., Akar, N., Lotfizadeh, H., Bairampour, M., & Nasiri, S. (2013). Risk analysis of geothermal power plants using Failure Modes and Effects Analysis (FMEA) technique. Energy Conversion and Management, 72, 69-76.