Aeon: A Smart Medicine Delivery and Inventory System for Cebu City Government’s Long Life Medical Assistance Program

Andrew Oplas, Maria Himaya Rabago, Charlene Louise Tormes, Cherry Lyn C. Sta. Romana, Ralph P. Laviste
{"title":"Aeon: A Smart Medicine Delivery and Inventory System for Cebu City Government’s Long Life Medical Assistance Program","authors":"Andrew Oplas, Maria Himaya Rabago, Charlene Louise Tormes, Cherry Lyn C. Sta. Romana, Ralph P. Laviste","doi":"10.1109/HNICEM.2018.8666395","DOIUrl":null,"url":null,"abstract":"Cebu City government’s Long Life Medical Assistance Program aims to deliver and supply maintenance medicine to its qualifying beneficiaries. The process is done manually resulting to certain problems such as: (1) lack of evidences that the beneficiaries received the medicine intended for them; (2) inventory monitoring of medicines distributed; (3) and shortage of medicine supplies. In line with these problems, a web and mobile application called Aeon is designed in partnership with the Cebu City Government’s Long Life Medical Assistance Program. The web application efficiently monitors the medicine supplies complemented with predictive restocking notifications to know if an incoming shortage of medicine will occur. In the study, the mobile application utilizes Facial Recognition and Global Positioning System to track and validate deliveries of medicines. The study used Agile Software Development Method in order to deliver the expected outputs. A usability survey was conducted and majority of the respondents are satisfied with the features of the system. Moreover, 87% of the respondents indicated that they prefer using the system over the manual process and would recommend the use of the system for the Long Life Medical Assistance Program.","PeriodicalId":426103,"journal":{"name":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2018.8666395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Cebu City government’s Long Life Medical Assistance Program aims to deliver and supply maintenance medicine to its qualifying beneficiaries. The process is done manually resulting to certain problems such as: (1) lack of evidences that the beneficiaries received the medicine intended for them; (2) inventory monitoring of medicines distributed; (3) and shortage of medicine supplies. In line with these problems, a web and mobile application called Aeon is designed in partnership with the Cebu City Government’s Long Life Medical Assistance Program. The web application efficiently monitors the medicine supplies complemented with predictive restocking notifications to know if an incoming shortage of medicine will occur. In the study, the mobile application utilizes Facial Recognition and Global Positioning System to track and validate deliveries of medicines. The study used Agile Software Development Method in order to deliver the expected outputs. A usability survey was conducted and majority of the respondents are satisfied with the features of the system. Moreover, 87% of the respondents indicated that they prefer using the system over the manual process and would recommend the use of the system for the Long Life Medical Assistance Program.
永旺:宿务市政府长期医疗援助计划的智能药品交付和库存系统
宿务市政府的长期医疗援助计划旨在向符合条件的受益人提供和供应维持药品。该过程是人工完成的,导致某些问题,如:(1)缺乏证据表明受益人收到了为他们准备的药物;(2)流通药品的库存监测;(3)药品供应短缺。针对这些问题,与宿雾市政府的“长寿医疗援助计划”合作,设计了一个名为“永旺”的网络和移动应用程序。web应用程序有效地监控药品供应,并辅以预测性补充通知,以了解是否会发生药品短缺。在这项研究中,移动应用程序利用面部识别和全球定位系统来跟踪和验证药品的交付。本研究采用敏捷软件开发方法,以达到预期的输出效果。我们进行了一项可用性调查,大多数受访者对系统的功能感到满意。此外,87%的受访者表示,他们更喜欢使用该系统,而不是人工流程,并建议在长期医疗援助计划中使用该系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信