scholarly journals Drivers of intentions to use healthcare information systems among health and care professionals

2018 ◽  
Vol 26 (1) ◽  
pp. 56-71
Author(s):  
Vladimir Ljubicic ◽  
Panayiotis H Ketikidis ◽  
Lambros Lazuras

Although investment in healthcare technology is rapidly increasing, the readiness to use emerging technologies among healthcare professionals is still low. The present study relies on an integrated model derived from the unified theory of acceptance and use of technology and the diffusion of innovation model to assess the factors that predicted healthcare professionals’ intentions to use healthcare information systems. Using a cross-sectional correlational design, 105 healthcare professionals (M age = 41.06, standard deviation = 9.18; 49% consultants and General Practitioners (GPs); 56.2% females) from hospitals in England completed online structured questionnaires. One-way analysis of variance showed that there were no differences in healthcare information systems usage intentions, unified theory of acceptance and use of technology and diffusion of innovation variables between consultants/GPs and non-medical staff (i.e. nurses and administration staff). Linear regression analysis demonstrated that the integrative model predicted 78.1 per cent (adjusted R2) in intentions to use healthcare information systems, and variables from both unified theory of acceptance and use of technology and the diffusion of innovation had significant effects. Moderated regression analysis further revealed that the interaction between voluntariness and effort expectancy, and voluntariness and social influence significantly predicted usage intentions on top of the main effects of the individual predictors. This poses direct implications for both practice and theory in this field. Future research should consider the predictive validity of integrative theoretical models of technology acceptance and utilization in healthcare settings.

Author(s):  
Zakaria Maamar ◽  
Youcef Baghdadi

This chapter looks into the challenges facing healthcare Information Systems interoperability from a technological perspective and how to address some of these challenges using three concepts, namely medical artifacts, social networks, and communities. Medical artifacts represent chunks of information that healthcare practitioners act upon and exchange as part of their daily activities. Social networks reflect interactions occurring between these practitioners when performing joint activities. Finally, communities illustrate pockets of expertise capable of collaborating with respect to pre-defined protocols.


2019 ◽  
Vol 3 (III) ◽  
pp. 199-211
Author(s):  
Stella Gati Maroa ◽  
Mary Namusonge

Strategic innovation is a strategic tool that can be used to align the institution’s resources and capabilities with opportunities in the external environment in order to enhance survival and long term success of the organization.  Innovation promotes use of technology consequently impacting positively on service delivery. Public universities reforms have been a necessary and on-going policy objective for the Government of Kenya. Innovation as one of the approaches to the reforms is intended to induce an overhaul the public university system to better serve the needs of both government and the citizens with improved delivery of public services. In Kenya technology in public institutions has not been effectively used to enhance service delivery more so institutions where technology use has been embraced, its impact on service delivery has not been assessed effectively. This study applied the institutional theory, diffusion of innovation theory and stakeholders theory of management to determine how strategic innovation at Kenyatta University impacts on service delivery. The general objective of this study therefore was to determine the effect of strategic innovation on service delivery in Kenyatta University. Specific objectives included finding out the influence of eLearning, online student registration and use of e-messaging services on service delivery in Kenyatta University. A population of 72,000 students admitted to Kenyatta University was used from which random sampling was conducted to a sample of 200 students using Nassiuma’s formula. Data was collected by disbursing physically the questionnaires to the students. Descriptive and regression analysis was conducted using SPSS 22 to provide findings on the study. The study conducted a multiple regression analysis to estimate the model for the study. The study had a coefficient of correlation R of 0.912 an indication of strong of correlation between the variables and a coefficient of adjusted R2 was 0.814.This means that there was a significant correlations between the variables and service delivery at Kenyatta University however other factors that are not considered in the research paper contribute approximately 18.6% of the service delivery at Kenyatta University. Therefore, a very extensive further research is highly required to investigate and come up with other factors of the viability to service delivery at Kenyatta University. The study concluded that the strategic innovation of the public universities ranges from the products and services offered and is determined by the technology that is revolutionizing the current global world and has improved the service delivery at Kenyatta University. A strategic innovation brings a lot of advantages and has a great impact on human and business daily life. Therefore, strategic innovation development is the best choice in helping higher institution of learning stay on track.


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