Towards a Healthcare Interoperability Framework Based on Medical Business Artifacts, Social Networks, and Communities of Healthcare Professionals

Handbook of Research on E-Business Standards and Protocols ◽

10.4018/978-1-4666-0146-8.ch034 ◽

2012 ◽

pp. 754-767

Author(s):

Zakaria Maamar ◽

Youcef Baghdadi

Keyword(s):

Social Networks ◽

Information Systems ◽

Healthcare Professionals ◽

Daily Activities ◽

Healthcare Information ◽

Healthcare Information Systems ◽

Joint Activities ◽

Technological Perspective

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.

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

Health Informatics Journal ◽

10.1177/1460458218813629 ◽

2018 ◽

Vol 26 (1) ◽

pp. 56-71

Author(s):

Vladimir Ljubicic ◽

Panayiotis H Ketikidis ◽

Lambros Lazuras

Keyword(s):

Regression Analysis ◽

Information Systems ◽

Diffusion Of Innovation ◽

Healthcare Professionals ◽

Linear Regression Analysis ◽

Integrative Model ◽

Unified Theory ◽

Healthcare Information ◽

Healthcare Information Systems ◽

Use Of Technology

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.

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