Title: Framework for a retrospective analysis of operating room schedule execution

Authors: Leah Rifi; Franck Fontanili; Maria Di Mascolo; Cléa Martinez

Addresses: Industrial Engineering Department, IMT Mines Albi, Allée des Sciences, 81000, Albi, France ' Industrial Engineering Department, IMT Mines Albi, Allée des Sciences, 81000, Albi, France ' Univ. Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering Univ. Grenoble Alpes), G-SCOP, 38000 Grenoble, France ' Industrial Engineering Department, IMT Mines Albi, Allée des Sciences, 81000, Albi, France

Abstract: The execution of an operating room schedule is constantly disrupted, which can decrease the initially targeted performance. Online operational management (OnOM), which oversees daily activity, can reduce the deviations caused by disruptions between the initial schedule and the performed schedule. To support this process and encourage continuous improvement, we suggest a framework for analysing schedule execution in retrospect. The objectives are twofold: 1) to identify deviations and determine their root causes; and 2) to assess the relevance of the decisions made to reduce these deviations. This approach relies on a logbook to gather qualitative data on disruptions, and a dashboard to objectify the situation with computed indicators. We present an example of a schedule execution analysis in an anonymised French General Hospital.

Keywords: OR; operating room; surgical suite; inductive approach; retrospective analysis; OnOM; online operational management; schedule disruptions; schedule deviations; uncertainties; continuous improvement.

DOI: 10.1504/IJHTM.2022.123579

International Journal of Healthcare Technology and Management, 2022 Vol.19 No.1, pp.37 - 59

Received: 20 Aug 2020
Accepted: 05 Apr 2021

Published online: 28 Jun 2022 *

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