{"title":"卫生信息技术的采用与传播:以初级保健诊所为例","authors":"Brantly Callaway, Vivek Ghosal","doi":"10.2139/ssrn.2137307","DOIUrl":null,"url":null,"abstract":"We empirically examine the determinants of adoption of information technology by primary healthcare clinics using a large sample of physician clinics from several States in the U.S. Ours is one of the first studies to intensively investigate primary care clinics. These clinics are important as they represent the frontlines in the delivery of services in this large and complex market. Our study generates several interesting results related to the adoption and diffusion of Health Information Technology (HIT), including: (1) the adoption probabilities vary considerably by the specific type of clinic; (2) in contrast to numerous studies in the broader technology adoption literature, we find little evidence to suggest a relationship between firm (clinic) size and the likelihood of adoption; (3) there appears to be no definitive relationship between the age of a clinic and the likelihood of adoption; (4) there is a strong effect of geographic location, as measured by specific types of urban and rural counties, on the likelihood of adoption; (5) market competitive forces appear to have a mixed influence on adoption; (6) there is a distinct State-specific effect suggesting that information privacy, medical malpractice laws and State initiatives may play an important role in adoption; and (7) HIT is diffusing at a faster rate over time. Our findings have the potential to provide a better understanding of the longer-run effectiveness and efficiency in the provision of healthcare, and crafting appropriate policy responses. We note some future extensions of our work.","PeriodicalId":10688,"journal":{"name":"Computing Technologies eJournal","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adoption and Diffusion of Health Information Technology: The Case of Primary Care Clinics\",\"authors\":\"Brantly Callaway, Vivek Ghosal\",\"doi\":\"10.2139/ssrn.2137307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We empirically examine the determinants of adoption of information technology by primary healthcare clinics using a large sample of physician clinics from several States in the U.S. Ours is one of the first studies to intensively investigate primary care clinics. These clinics are important as they represent the frontlines in the delivery of services in this large and complex market. Our study generates several interesting results related to the adoption and diffusion of Health Information Technology (HIT), including: (1) the adoption probabilities vary considerably by the specific type of clinic; (2) in contrast to numerous studies in the broader technology adoption literature, we find little evidence to suggest a relationship between firm (clinic) size and the likelihood of adoption; (3) there appears to be no definitive relationship between the age of a clinic and the likelihood of adoption; (4) there is a strong effect of geographic location, as measured by specific types of urban and rural counties, on the likelihood of adoption; (5) market competitive forces appear to have a mixed influence on adoption; (6) there is a distinct State-specific effect suggesting that information privacy, medical malpractice laws and State initiatives may play an important role in adoption; and (7) HIT is diffusing at a faster rate over time. Our findings have the potential to provide a better understanding of the longer-run effectiveness and efficiency in the provision of healthcare, and crafting appropriate policy responses. We note some future extensions of our work.\",\"PeriodicalId\":10688,\"journal\":{\"name\":\"Computing Technologies eJournal\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computing Technologies eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2137307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computing Technologies eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2137307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adoption and Diffusion of Health Information Technology: The Case of Primary Care Clinics
We empirically examine the determinants of adoption of information technology by primary healthcare clinics using a large sample of physician clinics from several States in the U.S. Ours is one of the first studies to intensively investigate primary care clinics. These clinics are important as they represent the frontlines in the delivery of services in this large and complex market. Our study generates several interesting results related to the adoption and diffusion of Health Information Technology (HIT), including: (1) the adoption probabilities vary considerably by the specific type of clinic; (2) in contrast to numerous studies in the broader technology adoption literature, we find little evidence to suggest a relationship between firm (clinic) size and the likelihood of adoption; (3) there appears to be no definitive relationship between the age of a clinic and the likelihood of adoption; (4) there is a strong effect of geographic location, as measured by specific types of urban and rural counties, on the likelihood of adoption; (5) market competitive forces appear to have a mixed influence on adoption; (6) there is a distinct State-specific effect suggesting that information privacy, medical malpractice laws and State initiatives may play an important role in adoption; and (7) HIT is diffusing at a faster rate over time. Our findings have the potential to provide a better understanding of the longer-run effectiveness and efficiency in the provision of healthcare, and crafting appropriate policy responses. We note some future extensions of our work.