Evidence map›Paper›PMID 25975806›Full record

ArticleHealth informatics journal2016

Mobile platform for treatment of stroke: A case study of tele-assistance.

Arturo Henry Torres Zenteno, Francisco Fernández, Alfredo Palomino-García, Francisco Moniche, Irene Escudero, M Dolores Jiménez-Hernández, Auxiliadora Caballero, Germán Escobar-Rodriguez, Carlos Parra

Abstract read
In one paragraph

Article in Health informatics journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Arturo Henry Torres ZentenoClinical Neuroscience Unit, Virgen del Rocío University Hospital, Spain arturo.torres.zenteno@everis.com.
Francisco FernándezEveris, Spain.
Alfredo Palomino-GarcíaClinical Neuroscience Unit, Virgen del Rocío University Hospital, Spain.
Francisco MonicheClinical Neuroscience Unit, Virgen del Rocío University Hospital, Spain.
Irene EscuderoClinical Neuroscience Unit, Virgen del Rocío University Hospital, Spain.
M Dolores Jiménez-HernándezClinical Neuroscience Unit, Virgen del Rocío University Hospital, Spain.
Auxiliadora CaballeroPublic Company for Healthcare Emergencies (EPES), Spain.
Germán Escobar-RodriguezTechnological Innovation Group, Virgen del Rocío University Hospital, Spain.
Carlos ParraTechnological Innovation Group, Virgen del Rocío University Hospital, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents the technological solution of a tele-assistance process for stroke patients in acute phase in the Seville metropolitan area. The main objective of this process is to reduce time from symptom onset to treatment of acute phase stroke patients by means of telemedicine, regarding mobility between an intensive care unit ambulance and an expert center and activating the pre-hospital care phase. The technological platform covering the process has been defined following an interoperability model based on standards and with a focus on service-oriented architecture focus. Messaging definition has been designed according to the reference model of the CEN/ISO 13606, messages content follows the structure of archetypes. An XDS-b (Cross-Enterprise Document Sharing-b) transaction messaging has been designed according to Integrating the Healthcare Enterprise profile for archetype notifications and update enquiries.This research has been performed by a multidisciplinary group. The Virgen del Rocío University Hospital acts as Reference Hospital and the Public Company for Healthcare as mobility surroundings.

Indexed as

Medical Record LinkageTelemedicineComputers, HandheldComputer SystemsElectronic Health RecordsEmergency Medical ServicesHumansOrganizational Case StudiesSoftwareSpainStrokeTime Factorselectronic health recordshealth information on the webmobile healthmodeling healthcare servicestelecare

Identifiers

PMID25975806
PMCPMC4979250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.