Timing and Assimilation of New Technology Adoption in Healthcare

Srikanth R. Gaddam
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引用次数: 4

Abstract

Background and Objective: Over the last two decades, substantial researches have focused on the factors influencing the success and failure of technology adoption. However, there is little to no research on the optimal time to adopt technology concerning the lag time between its availability and adoption. This paper explores the optimal timing for technology adoption.Methods: The study involves a qualitative inquiry based on semi-structured interviews conducted with individuals who have worked with or have served as information technology executives, managers or business users in mid-sized and large healthcare industries in the United States.Results: From these interview results, a comparison was made between the institutions that have successfully adopted technology and those that have not.Conclusion: Furthermore, this work seeks to understand the technology assimilation effects of individual motivations, organizational readiness, external environmental factors, and the timing of adoption.
医疗保健中新技术采用的时机和同化
背景与目的:在过去的二十年中,大量的研究集中在影响技术采用成功与失败的因素上。然而,关于技术的可用性和采用之间的滞后时间的最佳采用时间的研究很少甚至没有。本文探讨了技术采用的最佳时机。方法:该研究包括一个基于半结构化访谈的定性调查,访谈对象是在美国大中型医疗保健行业工作或担任信息技术主管、经理或业务用户的个人。结果:从这些访谈结果中,对成功采用技术的机构和未采用技术的机构进行了比较。结论:此外,本研究试图了解个人动机、组织准备程度、外部环境因素和采用时间对技术同化的影响。
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来源期刊
Journal of Medical Imaging and Health Informatics
Journal of Medical Imaging and Health Informatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.
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