Literature DB >> 23079028

MESUDD: towards a multi-lingua expert system for rural m-healthcare.

John Babalola Oladosu1, Michael Adeyemi Olamoyegun.   

Abstract

A good number of applications and hardware devices for healthcare services have been produced through research efforts. A key limitation of the existing systems that are implemented for mobile devices, however, is that they have not adequately addressed language barrier, deplorable access to medical practitioners, cost constraints among other challenges peculiar to rural communities in developing and underdeveloped countries. This paper presents one of the solutions developed in our research efforts at addressing some of the aforementioned limitations of the existing systems. The work produced a novel mobile software tool that addresses the provisioning of real-time language translation for illiterate indigenous patients to interact with a medical expert system via a small mobile computing device for diagnoses and drug prescription where there is no doctor. Usability assessment of the tool was conducted by engaging physicians, paramedics and patients. The result of that assessment is presented.

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Year:  2012        PMID: 23079028     DOI: 10.1504/IJEH.2012.049875

Source DB:  PubMed          Journal:  Int J Electron Healthc        ISSN: 1741-8453


  3 in total

Review 1.  Mobile phone-based mHealth approaches for public health surveillance in sub-Saharan Africa: a systematic review.

Authors:  Johanna Brinkel; Alexander Krämer; Ralf Krumkamp; Jürgen May; Julius Fobil
Journal:  Int J Environ Res Public Health       Date:  2014-11-12       Impact factor: 3.390

Review 2.  Development and Use of Health-Related Technologies in Indigenous Communities: Critical Review.

Authors:  Louise Jones; Kristen Jacklin; Megan E O'Connell
Journal:  J Med Internet Res       Date:  2017-07-20       Impact factor: 5.428

3.  Patients' understanding of telemedicine terms required for informed consent when translated into Kiswahili.

Authors:  Rachael Odhiambo; Maurice Mars
Journal:  BMC Public Health       Date:  2018-05-03       Impact factor: 3.295

  3 in total

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