{"title":"患者获得远程相关信息后认知的影响因素","authors":"Jui-Chen Huang, Shou-Hsiung Cheng, Yii-Ching Lee","doi":"10.1109/ICACI.2016.7449846","DOIUrl":null,"url":null,"abstract":"The main purpose of this study was to investigate the factors in patients' perceptions after obtaining telecare-related information. This study took a certain large-scale medical institution in Taiwan for example and used the technology acceptance model (TAM) as the theoretical basis in order to provide information on telecare, increase inpatients' intention to use it, and further increase its utilization rate, in order to fulfill the effectiveness of telecare, reduce the cost of healthcare, and improve healthcare quality. “Attitude toward using” significantly and positively affects “behavioral intention to use”; “perceived ease of use” significantly and positively affects “perceived usefulness”; “perceived usefulness” significantly affects “attitude toward using” in positive terms. Since the impacts of “perceived ease of use” on “attitude toward using” is not yet statistically significant. It is necessary to first enhance the attitude toward using telecare, follow by the usefulness of telecare. In addition, this study is to understand the effect of intervention measure on inpatients' perception of use of telecare to increase inpatients' intention to use. This study can help enhance the understanding pertaining to the relationship and reference of other important user variables in the choice of telecare by relevant researchers, technology developers, and policy makers.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The factors in patients' perceptions after obtaining telecare-related information\",\"authors\":\"Jui-Chen Huang, Shou-Hsiung Cheng, Yii-Ching Lee\",\"doi\":\"10.1109/ICACI.2016.7449846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main purpose of this study was to investigate the factors in patients' perceptions after obtaining telecare-related information. This study took a certain large-scale medical institution in Taiwan for example and used the technology acceptance model (TAM) as the theoretical basis in order to provide information on telecare, increase inpatients' intention to use it, and further increase its utilization rate, in order to fulfill the effectiveness of telecare, reduce the cost of healthcare, and improve healthcare quality. “Attitude toward using” significantly and positively affects “behavioral intention to use”; “perceived ease of use” significantly and positively affects “perceived usefulness”; “perceived usefulness” significantly affects “attitude toward using” in positive terms. Since the impacts of “perceived ease of use” on “attitude toward using” is not yet statistically significant. It is necessary to first enhance the attitude toward using telecare, follow by the usefulness of telecare. In addition, this study is to understand the effect of intervention measure on inpatients' perception of use of telecare to increase inpatients' intention to use. This study can help enhance the understanding pertaining to the relationship and reference of other important user variables in the choice of telecare by relevant researchers, technology developers, and policy makers.\",\"PeriodicalId\":211040,\"journal\":{\"name\":\"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2016.7449846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2016.7449846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The factors in patients' perceptions after obtaining telecare-related information
The main purpose of this study was to investigate the factors in patients' perceptions after obtaining telecare-related information. This study took a certain large-scale medical institution in Taiwan for example and used the technology acceptance model (TAM) as the theoretical basis in order to provide information on telecare, increase inpatients' intention to use it, and further increase its utilization rate, in order to fulfill the effectiveness of telecare, reduce the cost of healthcare, and improve healthcare quality. “Attitude toward using” significantly and positively affects “behavioral intention to use”; “perceived ease of use” significantly and positively affects “perceived usefulness”; “perceived usefulness” significantly affects “attitude toward using” in positive terms. Since the impacts of “perceived ease of use” on “attitude toward using” is not yet statistically significant. It is necessary to first enhance the attitude toward using telecare, follow by the usefulness of telecare. In addition, this study is to understand the effect of intervention measure on inpatients' perception of use of telecare to increase inpatients' intention to use. This study can help enhance the understanding pertaining to the relationship and reference of other important user variables in the choice of telecare by relevant researchers, technology developers, and policy makers.