The Trauma Patient Tracking System: implementing a wireless monitoring infrastructure for emergency response.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference · 2005 · Unclear · Insufficient evidence

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Study snapshot

PublicationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference · 2005

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

In mass trauma situations, emergency personnel are challenged with the task of prioritizing the care of many injured victims. We propose a trauma patient tracking system (TPTS) where first-responders tag all patients with a wireless monitoring device that continuously reports the location of each patient. The system can be used not only to prioritize patient care, but also to determine the time taken for each patient to receive treatment. This is important in training emergency personnel and in identifying bottlenecks in the disaster response process. In situations where biochemical agents are involved, a TPTS may be employed to determine sites of cross-contamination. In order to track patient location in both outdoor and indoor environments, we employ both Global Positioning System (GPS) and Television/ Radio Frequency (TVRF) technologies. Each patient tag employs IEEE 802.11 (Wi-Fi)/TCP/IP networking to communicate with a central server via any available Wi-Fi basestation. A key component to increase TPTS fault-tolerance is a mobile Wi-Fi basestation that employs redundant Internet connectivity to ensure that tags at the disaster scene can send information to the central server even when local infrastructure is unavailable for use. We demonstrate the robustness of the system in tracking multiple patients in a simulated trauma situation in an urban environment.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureRF

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

The authors describe and demonstrate a trauma patient tracking system using patient tags that communicate via IEEE 802.11 (Wi-Fi)/TCP/IP to a central server, with GPS and TV/radio-frequency technologies for indoor/outdoor tracking. They report demonstrating robustness in tracking multiple patients in a simulated urban trauma scenario, including use of a mobile Wi-Fi basestation with redundant Internet connectivity for fault tolerance.

Outcomes measured

System robustness in tracking multiple patients in a simulated trauma situation
Continuous reporting of patient location
Ability to determine time to treatment
Potential identification of cross-contamination sites

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": "RF",
    "source": "wi-fi",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "System robustness in tracking multiple patients in a simulated trauma situation",
    "Continuous reporting of patient location",
    "Ability to determine time to treatment",
    "Potential identification of cross-contamination sites"
  ],
  "main_findings": "The authors describe and demonstrate a trauma patient tracking system using patient tags that communicate via IEEE 802.11 (Wi-Fi)/TCP/IP to a central server, with GPS and TV/radio-frequency technologies for indoor/outdoor tracking. They report demonstrating robustness in tracking multiple patients in a simulated urban trauma scenario, including use of a mobile Wi-Fi basestation with redundant Internet connectivity for fault tolerance.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "trauma patient tracking system",
    "emergency response",
    "wireless monitoring",
    "IEEE 802.11",
    "Wi-Fi",
    "GPS",
    "TVRF",
    "mobile basestation",
    "fault tolerance",
    "disaster response"
  ],
  "suggested_hubs": [
    {
      "slug": "school-wi-fi",
      "weight": 0.15,
      "reason": "Uses IEEE 802.11 (Wi-Fi) networking; not school-specific but relevant to Wi-Fi infrastructure discussions."
    },
    {
      "slug": "occupational-exposure",
      "weight": 0.1,
      "reason": "System is intended for first responders/emergency personnel contexts, though no exposure assessment is reported."
    }
  ]
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1109/iembs.2005.1616962
PubMed: 17282731

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