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ONIX for Books Codelists Issue 47
ONIX for Books Codelists Issue 47 31 October 2019 DOI: 10.4400/akjh Go to latest Issue All ONIX standards and documentation – including this document – are copyright materials, made available free of charge for general use. A full license agreement (DOI: 10.4400/nwgj) that governs their use is available on the EDItEUR website. All ONIX users should note that this issue of the ONIX codelists does not include support for codelists used only with ONIX version 2.1. ONIX 2.1 remains fully usable, using Issue 36 of the codelists or earlier, and Issue 36 continues to be available via the archive section of the EDItEUR website (https://www.editeur.org/15/Archived-Previous-Releases). These codelists are also available within a multilingual online browser at https://ns.editeur.org/onix. Codelists are revised quarterly. Layout of codelists This document contains ONIX for Books codelists Issue 46, intended primarily for use with ONIX 3.0. The codelists are arranged in a single table for reference and printing. They may also be used as controlled vocabularies, independent of ONIX. This document does not differentiate explicitly between codelists for ONIX 3.0 and those that are used with earlier releases, but lists used only with earlier releases have been removed. For details of which code list to use with which data element in each version of ONIX, please consult the main Specification for the appropriate release. Occasionally, a handful of codes within a particular list are defined as either deprecated, or not valid for use in a particular version of ONIX or with a particular data element. -
A Systematic Review of Healthcare Applications for Smartphones Abu Saleh Mohammad Mosa1, Illhoi Yoo1,2* and Lincoln Sheets1,3
Mosa et al. BMC Medical Informatics and Decision Making 2012, 12:67 http://www.biomedcentral.com/1472-6947/12/67 RESEARCH ARTICLE Open Access A Systematic Review of Healthcare Applications for Smartphones Abu Saleh Mohammad Mosa1, Illhoi Yoo1,2* and Lincoln Sheets1,3 Abstract Background: Advanced mobile communications and portable computation are now combined in handheld devices called “smartphones”, which are also capable of running third-party software. The number of smartphone users is growing rapidly, including among healthcare professionals. The purpose of this study was to classify smartphone-based healthcare technologies as discussed in academic literature according to their functionalities, and summarize articles in each category. Methods: In April 2011, MEDLINE was searched to identify articles that discussed the design, development, evaluation, or use of smartphone-based software for healthcare professionals, medical or nursing students, or patients. A total of 55 articles discussing 83 applications were selected for this study from 2,894 articles initially obtained from the MEDLINE searches. Results: A total of 83 applications were documented: 57 applications for healthcare professionals focusing on disease diagnosis (21), drug reference (6), medical calculators (8), literature search (6), clinical communication (3), Hospital Information System (HIS) client applications (4), medical training (2) and general healthcare applications (7); 11 applications for medical or nursing students focusing on medical education; and 15 applications for patients focusing on disease management with chronic illness (6), ENT-related (4), fall-related (3), and two other conditions (2). The disease diagnosis, drug reference, and medical calculator applications were reported as most useful by healthcare professionals and medical or nursing students. -
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M-Learning: A Proposed Pedagogical Model for Institutions of Higher Learning in Africa Eunice Maingi*1, Grace Kihumba*2, Joseph Sevilla*1 *1Strathmore University, Kenya, *2Carnegie Mellon University, USA 0417 The European Conference on Technology in the Classroom 2013 Official Conference Proceedings 2013 Abstract Kenya was propelled onto the world stage with mobile phone technology after the successful implementation of mobile money transfer in 2007. Since then, researchers in Kenya and Africa at large started looking into the possibilities of a similar revolution in education. Kenya has a population estimated at 40 million people and there are 30 million active mobile phone numbers. On the contrary, Kenya has about 9 computers per 1000 people. Therefore, e-learning via computers has limited prospects. Furthermore, Internet access in Kenya is primarily via mobile devices. Internet-enabled phones as well as cheaper lower-end smart phones have become increasingly available in Kenya. Strathmore University in Nairobi conducted an investigation into the applicability of mobile learning (m-learning) for the current institution pedagogy. First, an analysis of existing m- learning platforms was done, with a bias for Free and Open Source platforms that would be accessible in Africa. The project team then carried out a study among 531 students in order to establish their perceptions towards m-learning. A customized m-learning Moodle application was subsequently designed and 118 students used it for a weeklong pilot study. From the research findings, it was evident that exploiting m-learning in higher education institutions, in Kenya and the rest of Africa could result in a paradigm shift in the instructional practices used in developing countries. -
A Systematic Review of Healthcare Applications for Smartphones Abu Saleh Mohammad Mosa1, Illhoi Yoo1,2* and Lincoln Sheets1,3
Mosa et al. BMC Medical Informatics and Decision Making 2012, 12:67 http://www.biomedcentral.com/1472-6947/12/67 RESEARCH ARTICLE Open Access A Systematic Review of Healthcare Applications for Smartphones Abu Saleh Mohammad Mosa1, Illhoi Yoo1,2* and Lincoln Sheets1,3 Abstract Background: Advanced mobile communications and portable computation are now combined in handheld devices called “smartphones”, which are also capable of running third-party software. The number of smartphone users is growing rapidly, including among healthcare professionals. The purpose of this study was to classify smartphone-based healthcare technologies as discussed in academic literature according to their functionalities, and summarize articles in each category. Methods: In April 2011, MEDLINE was searched to identify articles that discussed the design, development, evaluation, or use of smartphone-based software for healthcare professionals, medical or nursing students, or patients. A total of 55 articles discussing 83 applications were selected for this study from 2,894 articles initially obtained from the MEDLINE searches. Results: A total of 83 applications were documented: 57 applications for healthcare professionals focusing on disease diagnosis (21), drug reference (6), medical calculators (8), literature search (6), clinical communication (3), Hospital Information System (HIS) client applications (4), medical training (2) and general healthcare applications (7); 11 applications for medical or nursing students focusing on medical education; and 15 applications for patients focusing on disease management with chronic illness (6), ENT-related (4), fall-related (3), and two other conditions (2). The disease diagnosis, drug reference, and medical calculator applications were reported as most useful by healthcare professionals and medical or nursing students.