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International Journal of Research and Scientific Innovation (IJRSI)

Retained Surgical Items as Emergent Systems Failure: An Integrated Multi-Theory Prevention Framework for Perioperative Settings

byDr Shoeb Ahmed Ilyas; Ayesha Ahmed Ilyas

Published June 17, 2026  •  Vol. 13, Issue 5, pp. 3307–3319Open Access
DOI: 10.51244/IJRSI.2026.1305000283

Abstract

Background. Retained surgical items (RSIs) are classified as Never Events, yet they persist despite the WHO Surgical Safety Checklist, AORN counting standards, and commercial radio-frequency identification (RFID) systems. The Joint Commission logged 119 RSI sentinel events in 2024, with 43% causing severe harm, a pattern more consistent with system pathology than individual lapse.
Objective. To develop the Integrated RSI Prevention Architecture (IRPA): a conceptual framework explaining RSI occurrence as the emergent product of simultaneous failure across cultural, human-factor, technological, and governance domains.

Keywords: Retained surgical item; never event; psychological safety; Swiss Cheese Model

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 13, Issue 5
Pages3307–3319
Publication dateJune 17, 2026
DOI10.51244/IJRSI.2026.1305000283
PublisherRSIS International
LicenseOpen Access

How to cite this article

Dr Shoeb Ahmed Ilyas, & Ayesha Ahmed Ilyas (2026). Retained Surgical Items as Emergent Systems Failure: An Integrated Multi-Theory Prevention Framework for Perioperative Settings. International Journal of Research and Scientific Innovation (IJRSI), 13(5), 3307-3319. https://doi.org/10.51244/IJRSI.2026.1305000283

BibTeX

@article{Dr2026,
  title   = {Retained Surgical Items as Emergent Systems Failure: An Integrated Multi-Theory Prevention Framework for Perioperative Settings},
  author  = {Dr Shoeb Ahmed Ilyas and Ayesha Ahmed Ilyas},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {13},
  number  = {5},
  pages   = {3307--3319},
  year    = {2026},
  doi     = {10.51244/IJRSI.2026.1305000283},
  publisher = {RSIS International}
}