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A collaborative method for simultaneous operations: case of an eye clinic

Author

Listed:
  • Sudhanshu Singh

    (NITIE)

  • Rakesh Verma

    (NITIE)

  • Saroj Koul

    (OP Jindal Global University)

Abstract

The twofolds purpose of this pilot study is first to integrate process mining with Lean Six Sigma (LSS) in a shared resource environment for performing eye surgery operations requiring local anaesthesia and, secondly for the collaboration and measuring performance by utilising the concept of the “Single Minutes’ Exchange of Dies” for quick changeover. A review of articles employing process mining and LSS carried out has identified the gaps in planning an innovative ‘Collaboration Table’ for doctors. The “Plan, Do, Study and Act Cycle (PDSA)” is applied in this pilot case. While different researchers have been working on the application of process mining in finding bottlenecks for improvement and application of LSS, there is a lack of method and tools that integrate and apply these two approaches under the PDSA cycle. The paper provides a new method ‘Collaboration Table’ developed in MS Excel 2019, integrated with the application of process mining and LSS under the overall PDSA improvement methodology.

Suggested Citation

  • Sudhanshu Singh & Rakesh Verma & Saroj Koul, 2022. "A collaborative method for simultaneous operations: case of an eye clinic," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 711-731, June.
  • Handle: RePEc:spr:opsear:v:59:y:2022:i:2:d:10.1007_s12597-021-00513-9
    DOI: 10.1007/s12597-021-00513-9
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    References listed on IDEAS

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    1. Esha Saha & Pradip Kumar Ray, 2019. "Modelling and analysis of healthcare inventory management systems," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1179-1198, December.
    2. Rashmi Agarwal & B. K. Singh, 2018. "An analytical study of queues in medical sector," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 268-287, June.
    3. Schonberger, Richard J., 2018. "Reconstituting lean in healthcare: From waste elimination toward ‘queue-less’ patient-focused care," Business Horizons, Elsevier, vol. 61(1), pages 13-22.
    4. Akmal, Adeel & Greatbanks, Richard & Foote, Jeff, 2020. "Lean thinking in healthcare – Findings from a systematic literature network and bibliometric analysis," Health Policy, Elsevier, vol. 124(6), pages 615-627.
    5. Jans, Mieke & Alles, Michael & Vasarhelyi, Miklos, 2013. "The case for process mining in auditing: Sources of value added and areas of application," International Journal of Accounting Information Systems, Elsevier, vol. 14(1), pages 1-20.
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