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Journal ArticleDOI

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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“Robots do not replace a nurse with a beating heart”: The publicity around a robotic innovation in elderly care

TL;DR: Investigation of the publicity around the implementation of the Zora robot in elderly-care services in Lahti, Finland shows that public opinion is mainly negative, but that the commentators apparently have little information about the robot and its tasks.
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The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation.

TL;DR: An integrative model is proposed that explains the patient's adoption behavior of M-Health in developing countries grounded on the unified theory of acceptance and use of technology, dual-factor model, and health belief model to better understanding how technological, social, and functional factors are associated with digital health applications and services use and success in the context of developing countries.
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Assessment of factors influencing nurses acceptance of electronic medical record in a Saudi Arabia hospital

TL;DR: There is a strong positive correlation between perceived usefulness and perceived ease of use resulting in a positive effect on nurses' acceptance and these findings can be used as guidance for hospital management to address the nurses' concerns.
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“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities

TL;DR: It is concluded that personality characteristics are not significant predictors of the perceived usefulness and perceived ease of use of data standards, so the effects of network governance and organisational impediments are suggested to speed-up the adoption of open standards and raise interoperability in complex ecosystems.
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Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study.

TL;DR: The item, construct, and model indicators indicate reliable interpretation power and help explain the levels of public acceptance of ophthalmic AI devices in China, and should therefore avoid making misleading or over-exaggerated claims in the promotion of AI health care products.
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.
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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.
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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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