{"title":"对 Maxima 临床实验室使用热拟合法实施实验室信息系统的评估","authors":"Sadam Musawir, Sunarto Kadir, T. S. Tuloli","doi":"10.47191/ijmscrs/v4-i06-07","DOIUrl":null,"url":null,"abstract":"Evaluation of information systems in the health domain goes beyond exclusively technological considerations but also includes evaluation of human and organizational dimensions. The information system evaluation model frequently health used is called HOT-Fit (Human Organization Technology-Fit). This model considers the complex interactions between human, organizational, and technological elements in the context of health information systems. This research aims to analyze the implementation of the Laboratory Information System using the HOT Fit method at the Maxima Clinical Laboratory. The research method used is quantitative with a cross-sectional research design using a survey approach. Research subjects include laboratory managers, laboratory staff, information system users, and patients. Primary data was collected through questionnaires and interviews, while secondary data was obtained from related documents. The data analysis technique used is descriptive analysis and Partial Least Square ( PLS ). The research results show that there is a significant influence between system quality (p-value = 0.041), information quality (p-value = 0.003), service quality (p-value = 0.003), and user satisfaction (p-value = 0.041). Research findings can be used as evaluation and improvement material for laboratory managers to increase the effectiveness and efficiency of health services by optimizing the use of information systems.","PeriodicalId":335261,"journal":{"name":"International Journal Of Medical Science And Clinical Research Studies","volume":" 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of The Implementation of The Laboratory Information System Using the Hot Fit Method in Maxima Clinical Laboratory\",\"authors\":\"Sadam Musawir, Sunarto Kadir, T. S. Tuloli\",\"doi\":\"10.47191/ijmscrs/v4-i06-07\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluation of information systems in the health domain goes beyond exclusively technological considerations but also includes evaluation of human and organizational dimensions. The information system evaluation model frequently health used is called HOT-Fit (Human Organization Technology-Fit). This model considers the complex interactions between human, organizational, and technological elements in the context of health information systems. This research aims to analyze the implementation of the Laboratory Information System using the HOT Fit method at the Maxima Clinical Laboratory. The research method used is quantitative with a cross-sectional research design using a survey approach. Research subjects include laboratory managers, laboratory staff, information system users, and patients. Primary data was collected through questionnaires and interviews, while secondary data was obtained from related documents. The data analysis technique used is descriptive analysis and Partial Least Square ( PLS ). The research results show that there is a significant influence between system quality (p-value = 0.041), information quality (p-value = 0.003), service quality (p-value = 0.003), and user satisfaction (p-value = 0.041). Research findings can be used as evaluation and improvement material for laboratory managers to increase the effectiveness and efficiency of health services by optimizing the use of information systems.\",\"PeriodicalId\":335261,\"journal\":{\"name\":\"International Journal Of Medical Science And Clinical Research Studies\",\"volume\":\" 7\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal Of Medical Science And Clinical Research Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47191/ijmscrs/v4-i06-07\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal Of Medical Science And Clinical Research Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47191/ijmscrs/v4-i06-07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
对卫生领域信息系统的评估不仅限于技术方面的考虑,还包括对人和组织方面的评估。经常使用的信息系统评估模型被称为 HOT-Fit(人-组织-技术-适应)。该模型考虑了卫生信息系统中人、组织和技术要素之间复杂的相互作用。本研究旨在使用 HOT Fit 方法分析 Maxima 临床实验室实施实验室信息系统的情况。采用的研究方法是横断面定量研究设计,使用调查法。研究对象包括实验室管理人员、实验室工作人员、信息系统用户和患者。通过问卷调查和访谈收集第一手数据,并从相关文件中获取第二手数据。采用的数据分析技术是描述性分析和部分最小二乘法(PLS)。研究结果表明,系统质量(P 值 = 0.041)、信息质量(P 值 = 0.003)、服务质量(P 值 = 0.003)和用户满意度(P 值 = 0.041)之间存在显著影响。研究结果可作为实验室管理人员的评估和改进材料,通过优化信息系统的使用来提高医疗服务的效果和效率。
Evaluation of The Implementation of The Laboratory Information System Using the Hot Fit Method in Maxima Clinical Laboratory
Evaluation of information systems in the health domain goes beyond exclusively technological considerations but also includes evaluation of human and organizational dimensions. The information system evaluation model frequently health used is called HOT-Fit (Human Organization Technology-Fit). This model considers the complex interactions between human, organizational, and technological elements in the context of health information systems. This research aims to analyze the implementation of the Laboratory Information System using the HOT Fit method at the Maxima Clinical Laboratory. The research method used is quantitative with a cross-sectional research design using a survey approach. Research subjects include laboratory managers, laboratory staff, information system users, and patients. Primary data was collected through questionnaires and interviews, while secondary data was obtained from related documents. The data analysis technique used is descriptive analysis and Partial Least Square ( PLS ). The research results show that there is a significant influence between system quality (p-value = 0.041), information quality (p-value = 0.003), service quality (p-value = 0.003), and user satisfaction (p-value = 0.041). Research findings can be used as evaluation and improvement material for laboratory managers to increase the effectiveness and efficiency of health services by optimizing the use of information systems.