{"title":"Chatbots: A Game Changer in mHealth","authors":"Md. Naseef-Ur-Rahman Chowdhury, Ahshanul Haque, H.S. Soliman","doi":"10.1109/IS3C57901.2023.00103","DOIUrl":null,"url":null,"abstract":"Chatbots have emerged as a promising tool in healthcare for improving patient engagement, providing education and support, and delivering interventions for a variety of health conditions. In the field of mHealth (mobile health), chatbots are being increasingly used to support self-management, provide remote monitoring, and offer personalized coaching to patients with chronic conditions. A growing body of research has demonstrated the feasibility, acceptability, and effectiveness of chatbots in mHealth, with many studies reporting positive outcomes such as improved patient adherence, increased physical activity, and reduced hospital readmissions. However, there are also limitations and challenges to the use of chatbots in mHealth, such as concerns around data privacy and security, the need for effective natural language processing and machine learning algorithms, and ensuring that chatbots are designed with the end user in mind. Future research is needed to further explore the potential of chatbots in mHealth, and to develop best practices for their design, implementation, and evaluation.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS3C57901.2023.00103","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
Chatbots have emerged as a promising tool in healthcare for improving patient engagement, providing education and support, and delivering interventions for a variety of health conditions. In the field of mHealth (mobile health), chatbots are being increasingly used to support self-management, provide remote monitoring, and offer personalized coaching to patients with chronic conditions. A growing body of research has demonstrated the feasibility, acceptability, and effectiveness of chatbots in mHealth, with many studies reporting positive outcomes such as improved patient adherence, increased physical activity, and reduced hospital readmissions. However, there are also limitations and challenges to the use of chatbots in mHealth, such as concerns around data privacy and security, the need for effective natural language processing and machine learning algorithms, and ensuring that chatbots are designed with the end user in mind. Future research is needed to further explore the potential of chatbots in mHealth, and to develop best practices for their design, implementation, and evaluation.