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Applying the Technology Acceptance Model to the introduction of healthcare information systems

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TLDR
A conceptual model, appropriate for the intention to use healthcare information systems, is proposed by adopting the system, service, and information qualities covered in the Information System Success Model proposed by DeLone and Mclean as the external variables and integrating the three dimensions of perceived usefulness, perceived ease of use, and intention toUse.
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This article is published in Technological Forecasting and Social Change.The article was published on 2011-05-01. It has received 436 citations till now. The article focuses on the topics: Technology acceptance model & Information system.

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Beyond Technology Adoption: An Embeddedness Approach to Reduce Medication Errors

TL;DR: This article investigates the reasons that health care professionals in hospital environments underutilize medication administration technologies and argues that a fusion view can provide guidance to increase their use and design and evaluation of decision support technologies for medication administration in hospitals.
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Cognitive bias and decision aid use under stressful conditions

TL;DR: A stressful environment in a hospital is investigated and factors that are positively and negatively associated with the intention to use a decision aid are explored, suggesting that the perceived personal risk to the decision maker is positively related to attitude toward the decision aid.
Journal ArticleDOI

Identifying factors affecting acceptance of new technology in the industry using hybrid model of UTAUT and FUZZY DEMATEL

TL;DR: In this paper, the authors proposed a method for the identification of the most promising companies in the field of expert research and entrepreneurship, Payam noor University, garmsar, Iran.

Analysis of user requirement on U-Healthcare system

TL;DR: This study proposed an application method of QFD to satisfy customer requirements for the development of u-Healthcare system to give important features to improve users’ requirements by using this process.
Posted Content

The intention to use an electronic health record and its antecedents among three different categories of clinical staff

TL;DR: In this article, the intention to use, ease of use, usefulness, anxiety, self-efficacy, trust, misfit and data security factors are investigated for different categories of clinical staff.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.

Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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