Adoption and Diffusion of Health Information Technology: The Case of Primary Care Clinics

Brantly Callaway, Vivek Ghosal
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引用次数: 4

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.
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卫生信息技术的采用与传播:以初级保健诊所为例
我们使用来自美国几个州的医生诊所的大样本,对初级保健诊所采用信息技术的决定因素进行了实证研究。我们的研究是第一批深入调查初级保健诊所的研究之一。这些诊所很重要,因为它们代表着在这个庞大而复杂的市场提供服务的第一线。我们的研究得出了几个与卫生信息技术(HIT)的采用和传播相关的有趣结果,包括:(1)采用概率因特定类型的诊所而异;(2)与广泛的技术采用文献中的大量研究相比,我们发现很少有证据表明企业(诊所)规模与采用可能性之间存在关系;(3)诊所的年龄与被收养的可能性之间似乎没有明确的关系;(4)地理位置(以特定类型的城市和农村县来衡量)对收养可能性有很强的影响;(5)市场竞争力量对采用的影响似乎是混合的;(6)存在明显的州特有效应,表明信息隐私、医疗事故法律和州举措可能在采用中发挥重要作用;(7)随着时间的推移,HIT的扩散速度加快。我们的研究结果有可能更好地理解提供医疗保健的长期有效性和效率,并制定适当的政策反应。我们注意到我们今后工作的一些扩展。
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