Saif Mohammed Ali, M. A. Burhanuddin, A. T. Yaseen, M. Jaber, M. Jassim, Aseel Mohammed Ali, A. Alkhayyat, M. A. Mohammed, Auday A. H. Mohamad
{"title":"伊拉克保健机构面临的电子保健技术障碍","authors":"Saif Mohammed Ali, M. A. Burhanuddin, A. T. Yaseen, M. Jaber, M. Jassim, Aseel Mohammed Ali, A. Alkhayyat, M. A. Mohammed, Auday A. H. Mohamad","doi":"10.3233/ida-237438","DOIUrl":null,"url":null,"abstract":"The health records management issues have detrimentally affected the Iraqi healthcare sector resultant from the inferior information technology integrity and the complicatedness of data. In order to resolve this problem, other methods of storage, management, and retrieval of health-related data can be offered by e-Health services. These aspects are important in tracking patients’ health conditions using multiple platforms at the service provider’s own convenience. However, there are numerous issues that hinder the extensive adoption of e-Health services by the health establishments in Iraq, such as issues on security and privacy, legalities connected to policies, and its implementation. The significance of the current study is its identification of the crucial aspects that will lead to the success of impacting the technical staff towards their positive acceptance and behavior with regard to the employment of e-Health information system in Iraqi hospitals. A self-administered survey was carried out on 104 technical staff from various healthcare organizations in Iraq using a simple random sampling technique. A nonparametric second-generation multivariate analysis was conducted on the compiled ordinal data by the utilization of the PLS-SEM approach. The outcomes indicated the favorable impact of several factors on the doctor’s employment of e-Health in Iraqi hospitals, comprising Availability and Affordability of the hardware and software, ICT Support Service, Network Reliability, Privacy, and Security. The results are important in assisting the comprehension of e-Health systems in the management of health data, in addition to the provision of the pertinent recommendations for policymakers to provide guidance, issue advice, directives to the healthcare professionals toward the continuous consideration of using advance information and communications technology at work.","PeriodicalId":50355,"journal":{"name":"Intelligent Data Analysis","volume":" ","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"E-Health technological barriers faced by Iraqi healthcare institutions\",\"authors\":\"Saif Mohammed Ali, M. A. Burhanuddin, A. T. Yaseen, M. Jaber, M. Jassim, Aseel Mohammed Ali, A. Alkhayyat, M. A. Mohammed, Auday A. H. Mohamad\",\"doi\":\"10.3233/ida-237438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The health records management issues have detrimentally affected the Iraqi healthcare sector resultant from the inferior information technology integrity and the complicatedness of data. In order to resolve this problem, other methods of storage, management, and retrieval of health-related data can be offered by e-Health services. These aspects are important in tracking patients’ health conditions using multiple platforms at the service provider’s own convenience. However, there are numerous issues that hinder the extensive adoption of e-Health services by the health establishments in Iraq, such as issues on security and privacy, legalities connected to policies, and its implementation. The significance of the current study is its identification of the crucial aspects that will lead to the success of impacting the technical staff towards their positive acceptance and behavior with regard to the employment of e-Health information system in Iraqi hospitals. A self-administered survey was carried out on 104 technical staff from various healthcare organizations in Iraq using a simple random sampling technique. A nonparametric second-generation multivariate analysis was conducted on the compiled ordinal data by the utilization of the PLS-SEM approach. The outcomes indicated the favorable impact of several factors on the doctor’s employment of e-Health in Iraqi hospitals, comprising Availability and Affordability of the hardware and software, ICT Support Service, Network Reliability, Privacy, and Security. The results are important in assisting the comprehension of e-Health systems in the management of health data, in addition to the provision of the pertinent recommendations for policymakers to provide guidance, issue advice, directives to the healthcare professionals toward the continuous consideration of using advance information and communications technology at work.\",\"PeriodicalId\":50355,\"journal\":{\"name\":\"Intelligent Data Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent Data Analysis\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.3233/ida-237438\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Data Analysis","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.3233/ida-237438","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
E-Health technological barriers faced by Iraqi healthcare institutions
The health records management issues have detrimentally affected the Iraqi healthcare sector resultant from the inferior information technology integrity and the complicatedness of data. In order to resolve this problem, other methods of storage, management, and retrieval of health-related data can be offered by e-Health services. These aspects are important in tracking patients’ health conditions using multiple platforms at the service provider’s own convenience. However, there are numerous issues that hinder the extensive adoption of e-Health services by the health establishments in Iraq, such as issues on security and privacy, legalities connected to policies, and its implementation. The significance of the current study is its identification of the crucial aspects that will lead to the success of impacting the technical staff towards their positive acceptance and behavior with regard to the employment of e-Health information system in Iraqi hospitals. A self-administered survey was carried out on 104 technical staff from various healthcare organizations in Iraq using a simple random sampling technique. A nonparametric second-generation multivariate analysis was conducted on the compiled ordinal data by the utilization of the PLS-SEM approach. The outcomes indicated the favorable impact of several factors on the doctor’s employment of e-Health in Iraqi hospitals, comprising Availability and Affordability of the hardware and software, ICT Support Service, Network Reliability, Privacy, and Security. The results are important in assisting the comprehension of e-Health systems in the management of health data, in addition to the provision of the pertinent recommendations for policymakers to provide guidance, issue advice, directives to the healthcare professionals toward the continuous consideration of using advance information and communications technology at work.
期刊介绍:
Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, big data applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, papers are preferred that discuss development of new AI related data analysis architectures, methodologies, and techniques and their applications to various domains.