Pub Date : 2024-01-22DOI: 10.25047/ijhitech.v1i2.4578
R. Wijayanti, Riskha Dora Candra Dewi, Sustin Farlida, Novita Nuraini
In nutrition care services, the creation and storage of medical records at the Nutrition Care Center (NCC) are still relatively simple and paper-based or manual. Additionally, management challenges, in the form of system constraints, are one of the obstacles to healthcare management at NCC. Therefore, there is a need for optimizing healthcare management at NCC. The aim of this study is to optimize nutrition care management at the NCC clinic through the use of EMR (Electronic Medical Records) facilitated by QR Codes and the implementation of a Whatsapp Bot. The results indicate that optimizing Nutrition Care Management through the Implementation of EMR with QR Codes and Whatsapp Bot simplifies nutritionists' access to previous client allergy and therapy history in one view and facilitates clients in accessing their medical record number without a physical card. This research has also designed a system that can be used both through web and mobile platforms
{"title":"Optimizing Nutrition Care Management at Nutrition Care Center (NCC)","authors":"R. Wijayanti, Riskha Dora Candra Dewi, Sustin Farlida, Novita Nuraini","doi":"10.25047/ijhitech.v1i2.4578","DOIUrl":"https://doi.org/10.25047/ijhitech.v1i2.4578","url":null,"abstract":"In nutrition care services, the creation and storage of medical records at the Nutrition Care Center (NCC) are still relatively simple and paper-based or manual. Additionally, management challenges, in the form of system constraints, are one of the obstacles to healthcare management at NCC. Therefore, there is a need for optimizing healthcare management at NCC. The aim of this study is to optimize nutrition care management at the NCC clinic through the use of EMR (Electronic Medical Records) facilitated by QR Codes and the implementation of a Whatsapp Bot. The results indicate that optimizing Nutrition Care Management through the Implementation of EMR with QR Codes and Whatsapp Bot simplifies nutritionists' access to previous client allergy and therapy history in one view and facilitates clients in accessing their medical record number without a physical card. This research has also designed a system that can be used both through web and mobile platforms","PeriodicalId":518213,"journal":{"name":"International Journal of Healthcare and Information Technology","volume":"2 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-21DOI: 10.25047/ijhitech.v1i2.4564
I. G. Wiryawan, D. A. Perwiraningrum, Huda Ahmad Hudori
In this study, the stunting case incidence mapping system has been further developed, and its integration with Communication, Information, and Education (KIE) media in the health sector. This study aims to increase knowledge about the world of health, especially related to stunting, through the integration of KIE media into data visualization of stunting cases. The results of developing this system integration include a fairly good level of acceptance from the community, as evidenced by the results of User Acceptance Testing (UAT) carried out on health workers and mothers with children under five. Functional testing of the system has also been completed with the conclusion that several features need to be improved. UAT testing obtained results worth 87%, and from functionality testing a success rate reached 90%, but all improvements have been completed. Future studies that can be carried out are to implement this integrated system more widely.
本研究进一步开发了发育迟缓病例发生率绘图系统，并将其与卫生部门的传播、信息和教育（KIE）媒体相结合。本研究旨在通过将 KIE 媒体整合到发育迟缓病例的数据可视化中，增加人们对健康世界的了解，尤其是与发育迟缓有关的知识。开发这一系统集成的成果包括社区的接受程度相当高，对卫生工作者和有五岁以下儿童的母亲进行的用户接受度测试（UAT）结果证明了这一点。系统的功能测试也已完成，结论是有几项功能需要改进。UAT 测试的结果为 87%，功能测试的成功率达到 90%，但所有改进工作都已完成。今后可以开展的研究是更广泛地实施这一综合系统。
{"title":"Integration of Mapping Malnutrition Cases in Toddlers Based on Geographic Information System With Media Communication Information Education in Health","authors":"I. G. Wiryawan, D. A. Perwiraningrum, Huda Ahmad Hudori","doi":"10.25047/ijhitech.v1i2.4564","DOIUrl":"https://doi.org/10.25047/ijhitech.v1i2.4564","url":null,"abstract":"In this study, the stunting case incidence mapping system has been further developed, and its integration with Communication, Information, and Education (KIE) media in the health sector. This study aims to increase knowledge about the world of health, especially related to stunting, through the integration of KIE media into data visualization of stunting cases. The results of developing this system integration include a fairly good level of acceptance from the community, as evidenced by the results of User Acceptance Testing (UAT) carried out on health workers and mothers with children under five. Functional testing of the system has also been completed with the conclusion that several features need to be improved. UAT testing obtained results worth 87%, and from functionality testing a success rate reached 90%, but all improvements have been completed. Future studies that can be carried out are to implement this integrated system more widely.","PeriodicalId":518213,"journal":{"name":"International Journal of Healthcare and Information Technology","volume":"153 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：