Evidence map›Paper›PMID 22195075›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Achieving reliable communication in dynamic emergency responses.

Octav Chipara, Anders N Plymoth, Fang Liu, Ricky Huang, Brian Evans, Per Johansson, Ramesh Rao, William G Griswold

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Octav ChiparaUniversity of California, San Diego, USA.
Anders N Plymoth
Fang Liu
Ricky Huang
Brian Evans
Per Johansson
Ramesh Rao
William G Griswold

Funding

WIISARD SAGE: Self-Scaling Systems for Mass Casualty ManagementR01LM009522 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRISWOLD, WILLIAM G · 2009 to 2010
$3.2M
NLM NIH HHS R01 LM009522NLM NIH HHS R01-LM009522
6 · The paper itself

Abstract

Emergency responses require the coordination of first responders to assess the condition of victims, stabilize their condition, and transport them to hospitals based on the severity of their injuries. WIISARD is a system designed to facilitate the collection of medical information and its reliable dissemination during emergency responses. A key challenge in WIISARD is to deliver data with high reliability as first responders move and operate in a dynamic radio environment fraught with frequent network disconnections. The initial WIISARD system employed a client-server architecture and an ad-hoc routing protocol was used to exchange data. The system had low reliability when deployed during emergency drills. In this paper, we identify the underlying causes of unreliability and propose a novel peer-to-peer architecture that in combination with a gossip-based communication protocol achieves high reliability. Empirical studies show that compared to the initial WIISARD system, the redesigned system improves reliability by as much as 37% while reducing the number of transmitted packets by 23%.

Indexed as

DisastersEmergency Medical Service Communication SystemsWireless TechnologyDisaster PlanningEmergency Medical ServicesHumansRescue Work

Identifiers

PMID22195075
PMCPMC3243219

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.