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Management and Detection System for Medical Surgical Equipment

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arxiv 2211.02351 v1 pith:QKJVYIWS submitted 2022-11-04 eess.SY cs.CYcs.SY

classification eess.SYcs.CYcs.SY
keywords medicalpatientsstaffsurgicalsystembodiesprocedureprocess
verification ladder T0 review T1 audit T2 compute T3 formal

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Retained surgical bodies (RSB) are any foreign bodies left inside the patient after a medical procedure. RSB is often caused by human mistakes or miscommunication between medical staff during the procedure. Infection, medical complications, and even death are possible consequences of RSB, and it is a significant risk for patients, hospitals, and surgical staff. In this paper. we describe the engineering process we have done to explore the design space, define a feasible solution, and simulate, verify, and validate a state-of-the-art Cyber-Physical System that can significantly decrease the incidence of RSB and thus increase patients' survivability rate. This system might save patients' suffering and lives and reduce medical staff negligence lawsuits while improving the hospital's reputation. The paper illustrates each step of the process with examples and describes the chosen solution in detail.

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Cited by 2 Pith papers

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  1. Statistical Runtime Verification for LLMs via Robustness Estimation

    cs.LG 2025-04 conditional novelty 5.0 of 10

    RoMA, a statistical robustness estimator, is adapted to black-box language models and is shown to approximate exact verification within 1% on small networks while scaling to BERT sentiment analysis.

  2. Work in Progress: AI-Powered Engineering-Bridging Theory and Practice

    eess.SY 2025-02 unverdicted novelty 3.0 of 10

    A proposal for using LLMs to classify and score system requirements under INCOSE criteria, with no results reported.

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