{"title":"The Prevalence of Information Technology in Indonesia's Accredited Hospitals","authors":"C. Layman, Sasmoko Sasmoko, M. Hamsal, L. Sanny","doi":"10.4018/ijrqeh.303674","DOIUrl":null,"url":null,"abstract":"During the Covid-19 pandemic in Indonesia, examination and relaying of important health information were done with the support of information technology. Therefore, this study measure information technology (IT) within hospitals through IT adoption and IT integration. The study uses data of 752 accredited in Indonesia. The study uses a descriptive analysis and ANOVA to identify the score of different locations, classes, and accreditations of hospitals to determine whether there are any associations or significant differences between the top- and lower-class hospitals. The results indicate that hospital classes A, B, C, and D in Indonesia apply information processing related to the storage, retrieval, sharing, and use of health services information for communication and significant decision-making. However, there are no significant distinction in the prevalence of IT usage among these hospitals. This study contributes to the understanding of the current rate of adoption and integration of information technology resources.","PeriodicalId":36298,"journal":{"name":"International Journal of Reliable and Quality E-Healthcare","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Reliable and Quality E-Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijrqeh.303674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
Abstract
During the Covid-19 pandemic in Indonesia, examination and relaying of important health information were done with the support of information technology. Therefore, this study measure information technology (IT) within hospitals through IT adoption and IT integration. The study uses data of 752 accredited in Indonesia. The study uses a descriptive analysis and ANOVA to identify the score of different locations, classes, and accreditations of hospitals to determine whether there are any associations or significant differences between the top- and lower-class hospitals. The results indicate that hospital classes A, B, C, and D in Indonesia apply information processing related to the storage, retrieval, sharing, and use of health services information for communication and significant decision-making. However, there are no significant distinction in the prevalence of IT usage among these hospitals. This study contributes to the understanding of the current rate of adoption and integration of information technology resources.