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首页> 外文期刊>Journal of Digital Imaging >Assessing Task–Technology Fit in a PACS Upgrade: Do Users’ and Developers’ Appraisals Converge?
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Assessing Task–Technology Fit in a PACS Upgrade: Do Users’ and Developers’ Appraisals Converge?

机译：评估任务-技术是否适合PACS升级：用户和开发人员的评估是否会融合？

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The purpose of this study was to measure users’ perceived benefits of a picture archiving and communication system (PACS) upgrade, and compare their responses to those predicted by developers. The Task–Technology Fit (TTF) model served as the theoretical framework to study the relation between TTF, utilization, and perceived benefits. A self-administered survey was distributed to radiologists working in a university hospital undergoing a PACS upgrade. Four variables were measured: impact, utilization, TTF, and perceived net benefits. The radiologists were divided into subgroups according to their utilization profiles. Analysis of variance was performed and the hypotheses were tested with regression analysis. Interviews were conducted with developers involved in the PACS upgrade who were asked to predict impact and TTF. Users identified only a moderate fit between the PACS enhancements and their tasks, while developers predicted a high level of TTF. The combination of a moderate fit and an underestimation of the potential impact of changes in the PACS led to a low score for perceived net benefits. Results varied significantly among user subgroups. Globally, the data support the hypotheses that TTF predicts utilization and perceived net benefits, but not that utilization predicts perceived net benefits. TTF is a valid tool to assess perceived benefits, but it is important to take into account the characteristics of users. In the context of a technology that is rapidly evolving, there needs to be an alignment of what users perceive as a good fit and the functionality developers incorporate into their products.
机译：这项研究的目的是评估用户对图片存档和通信系统（PACS）升级的感知收益，并将他们的反应与开发人员预测的反应进行比较。任务-技术适应（TTF）模型用作研究TTF，利用率和可感知收益之间关系的理论框架。一项自我管理的调查已分发给正在接受PACS升级的大学医院的放射线医生。测量了四个变量：影响，利用率，TTF和感知的净收益。放射科医师根据其使用情况将其分为几组。进行方差分析，并通过回归分析检验假设。与参与PACS升级的开发人员进行了访谈，他们被要求预测影响和TTF。用户发现PACS增强功能与其任务之间的匹配程度适中，而开发人员则预测TTF的水平很高。适度拟合和对PACS变更潜在影响的低估相结合导致感知的净收益得分较低。用户子组之间的结果差异很大。在全球范围内，数据支持以下假设：TTF可以预测利用率和可感知的净收益，而利用率不能预测可感知的净收益。 TTF是评估感知收益的有效工具，但重要的是要考虑到用户的特征。在技​​术飞速发展的背景下，需要对用户认为合适的产品以及开发人员将其纳入产品中的功能进行调整。

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