Literature DB >> 19961957

Applying information and communications technologies to collect health data from remote settings: a systematic assessment of current technologies.

Raj Ashar1, Sheri Lewis, David L Blazes, J P Chretien.   

Abstract

Modern information and communications technologies (ICTs) are now so feature-rich and widely available that they can be used to "capture," or collect and transmit, health data from remote settings. Electronic data capture can reduce the time necessary to notify public health authorities, and provide important baseline information. A number of electronic health data capture systems based on specific ICTs have been developed for remote areas. We expand on that body of work by defining and applying an assessment process to characterize ICTs for remote-area health data capture. The process is based on technical criteria, and assesses the feasibility and effectiveness of specific technologies according to the resources and constraints of a given setting. Our characterization of current ICTs compares different system architectures for remote-area health data capture systems. Ultimately, we believe that our criteria-based assessment process will remain useful for characterizing future ICTs. 2009 Elsevier Inc. All rights reserved.

Mesh:

Year:  2009        PMID: 19961957     DOI: 10.1016/j.jbi.2009.11.009

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  7 in total

1.  Mobile Phone Ownership and Use Among Women Screening for Cervical Cancer in a Community-Based Setting in Western Kenya: Observational Study.

Authors:  Jacob Stocks; Saduma Ibrahim; Lawrence Park; Megan Huchko
Journal:  JMIR Public Health Surveill       Date:  2022-06-07

Review 2.  Mobile health solutions in developing countries: a stakeholder perspective.

Authors:  Emmanuel Eze; Rob Gleasure; Ciara Heavin
Journal:  Health Syst (Basingstoke)       Date:  2018-04-04

3.  SAGES: a suite of freely-available software tools for electronic disease surveillance in resource-limited settings.

Authors:  Sheri L Lewis; Brian H Feighner; Wayne A Loschen; Richard A Wojcik; Joseph F Skora; Jacqueline S Coberly; David L Blazes
Journal:  PLoS One       Date:  2011-05-10       Impact factor: 3.240

4.  App-Supported Promotion of Child Growth and Development by Community Health Workers in Kenya: Feasibility and Acceptability Study.

Authors:  Alastair van Heerden; Debjeet Sen; Chris Desmond; Julia Louw; Linda Richter
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-05       Impact factor: 4.773

5.  Iterative Development of a Mobile Phone App to Support Community Health Volunteers During Cervical Cancer Screening in Western Kenya: Qualitative Study.

Authors:  Jacob Stocks; Yujung Choi; Saduma Ibrahim; Megan Huchko
Journal:  JMIR Form Res       Date:  2022-02-24

6.  Developing open source, self-contained disease surveillance software applications for use in resource-limited settings.

Authors:  Timothy C Campbell; Charles J Hodanics; Steven M Babin; Adjoa M Poku; Richard A Wojcik; Joseph F Skora; Jacqueline S Coberly; Zarna S Mistry; Sheri H Lewis
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-06       Impact factor: 2.796

7.  Technological solutions for an effective health surveillance system for road traffic crashes in Burkina Faso.

Authors:  Emmanuel Bonnet; Aude Nikiéma; Zoumana Traoré; Salifou Sidbega; Valéry Ridde
Journal:  Glob Health Action       Date:  2017       Impact factor: 2.640

  7 in total

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