Andrew Oplas, Maria Himaya Rabago, Charlene Louise Tormes, Cherry Lyn C. Sta. Romana, Ralph P. Laviste
{"title":"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","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":"{\"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}","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}
Aeon: A Smart Medicine Delivery and Inventory System for Cebu City Government’s Long Life Medical Assistance Program
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.