Hospital Operations and Supply Chain Optimization: Combining Lean Management Tools with Process Mining, AI, and Digital Twin for Sterilization Processes

Karine Doan and Stefano Carrino

Chapter 7 in Digitization in Supply Chain Management:Trends, Challenges and Solutions, 2024, pp 131-151 from World Scientific Publishing Co. Pte. Ltd.

Abstract: To improve quality and safety and to contain costs, hospitals should optimize their processes. Therefore, they need to have a full understanding and visibility of their operations and supply chain flows. In this chapter, we combined a lean management approach using value stream mapping, with a data-driven approach using process mining applied to the surgery processes of a private hospital in Switzerland. As the sterilization process was identified as a major bottleneck, we developed a digital twin and artificial intelligence algorithms to optimize the hospital operations and supply chain management. As a result, the hospital increased the quality of its work environment, improved visibility in their processes, and developed a stronger communication channel with their teams. In addition, they could better plan schedules, which allowed the hospital to limit overtime of the operating room staff. Finally, they optimized costs and saved time in their overall sterilization process.

Keywords: Digitalization; Supply Chain Management; Blockchain; IoT; Digital (search for similar items in EconPapers)
JEL-codes: O3 O32 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789811286636_0007 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789811286636_0007 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789811286636_0007

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().