Mobile-based learning of drug prescription for medical education using artificial intelligence techniques

Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Goh, Wee Pheng and Zhang, Ji and Yong, Jianming and Goh, Elizabeth Zhixin and Oh, Xueling (2021) Mobile-based learning of drug prescription for medical education using artificial intelligence techniques. International Journal of Mobile Learning and Organisation, 15 (4). pp. 392-408. ISSN 1746-725X


Abstract

Medical knowledge is constantly changing with advances in medical sciences and techniques. As such, it is becoming increasingly difficult to keep up to date with current medical information, especially for medical students. Integration of technology into medical education is deemed an efficient way to address the challenge by providing a means of consolidating learning. In particular, the use of Artificial Intelligence (AI) can enable users to have a new experience that helps facilitate their learning and catch-up with the constant advance of knowledge and technology. This in turn can minimise errors and aid better clinical decisions, hence resulting in better patient care. This paper discusses the relevance of mobile learning in medical education and introduces an innovative mobile application design to practice drug prescription in medical education. A prototype system demonstrates the design of the framework and the potential usability of the mobile application for medical students. This is a pioneer exploration of applying AI and mobile technology to help foster the new generation of medical practitioners.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Date Deposited: 03 Dec 2021 04:48
Last Modified: 06 Dec 2021 01:16
Uncontrolled Keywords: mobile-based learning; drug prescription; drug interaction; medical education.
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080107 Natural Language Processing
08 Information and Computing Sciences > 0807 Library and Information Studies > 080702 Health Informatics
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4601 Applied computing > 460102 Applications in health
46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460208 Natural language processing
46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery
Socio-Economic Objectives (2008): B Economic Development > 89 Information and Communication Services > 8903 Information Services > 890301 Electronic Information Storage and Retrieval Services
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences
22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence
Identification Number or DOI: https://doi.org/10.1504/IJMLO.2021.118436
URI: http://eprints.usq.edu.au/id/eprint/44200

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