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Cognitive ergonomics (CE) upon 5G internet networks (5GIN), Artificial Intelligence (AI)/Machine Learning (ML) in the pre-hospital setting (PS), upon remote continuous monitoring (CM), to support the Golden Hour (GH) and optimize outcomes in Civilian Severe Trauma (CSTR). (PS) organization and care upon (5GIN) high bandwidths (10 GB/s) mobile tele-communication (mTC) experimented by simulation by ten (n = 10) professional rescuers and trauma surgeons to evaluate feasibility, reliability, clinical usability for instant risk, prognosis and triage computation, decision support and treatment planning by (AI)/(ML) computations in (PS) (CSTR) upon six (n1 = 6) clinical cases on 19.05.2022, on 27.07.2022, on 24.06.2023 and 26.06.2023 and on 29.02.2024. Real time data sharing between rescuers and a simulating remote special emergency department of a trauma centre (ED)/(TC) established, combining both 5G-radio and-core network parts focusing on Damage Control Resuscitation (DCR) integrated with (CM) of vital signs. Transmission latency evaluated. Trauma severity scales computations by an Exp-Cobot based on Cloud Computing. The 5G IN) test revealed an average end-to-end round trip latency of 10 ms (<1ms) which depends on the computing devices quality, their digital connection to (mTC) and inherent phenomena (LOS, Scattering, Frequency Hopping). The presence of a physician for advanced interventions in the PS is essential. (DCR) with remote real time evaluation and instant computation of (CM) markers in (PS) seems reliable. Remote (CM) in (PS) of (CSTR) integrated with AI/ML upon (5GIN) technologies for instant computation of decisive markers consist the (CE) to support the (GH) in (DCR) and optimize outcomes.

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Cοgnitive Ergonomics of the Prehospital Damage Control Resuscitation upon AI and 5G Internet to Optimize Outcomes in Civilian Severe Trauma Surgery

  • 会议论文

  • 发表日期：

    2025年

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  • Constantinos S. Mammas,
  • Adamantia S. Mamma

摘要

Cognitive ergonomics (CE) upon 5G internet networks (5GIN), Artificial Intelligence (AI)/Machine Learning (ML) in the pre-hospital setting (PS), upon remote continuous monitoring (CM), to support the Golden Hour (GH) and optimize outcomes in Civilian Severe Trauma (CSTR). (PS) organization and care upon (5GIN) high bandwidths (10 GB/s) mobile tele-communication (mTC) experimented by simulation by ten (n = 10) professional rescuers and trauma surgeons to evaluate feasibility, reliability, clinical usability for instant risk, prognosis and triage computation, decision support and treatment planning by (AI)/(ML) computations in (PS) (CSTR) upon six (n1 = 6) clinical cases on 19.05.2022, on 27.07.2022, on 24.06.2023 and 26.06.2023 and on 29.02.2024. Real time data sharing between rescuers and a simulating remote special emergency department of a trauma centre (ED)/(TC) established, combining both 5G-radio and-core network parts focusing on Damage Control Resuscitation (DCR) integrated with (CM) of vital signs. Transmission latency evaluated. Trauma severity scales computations by an Exp-Cobot based on Cloud Computing. The 5G IN) test revealed an average end-to-end round trip latency of 10 ms (<1ms) which depends on the computing devices quality, their digital connection to (mTC) and inherent phenomena (LOS, Scattering, Frequency Hopping). The presence of a physician for advanced interventions in the PS is essential. (DCR) with remote real time evaluation and instant computation of (CM) markers in (PS) seems reliable. Remote (CM) in (PS) of (CSTR) integrated with AI/ML upon (5GIN) technologies for instant computation of decisive markers consist the (CE) to support the (GH) in (DCR) and optimize outcomes.