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Impact of UTAUT Predictors on the Intention and Usage of Electronic Health Records and Telemedicine from the Perspective of Clinical Staffs

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Innovation, Engineering and Entrepreneurship (HELIX 2018)

Abstract

Technology adoption play significant role for good healthcare services. It is very important to understand and identify the requirements and perceptions of hospital employees for the implementation of technology in their work place. This study determines the impact of performance expectancy, effort expectancy and social influence on behavioural intention as well as the impact of facilitating conditions on technical/clinical staff’s perspective. The structured questionnaire is administered to 770 clinical staffs on the usage of telemedicine and electronic health records in hospitals. A valid sample of 568 was returned back for further analysis. Regression analysis using AMOS 20 is performed to examine the effect of the constructs. Findings revealed that performance expectancy, effort expectancy, and social influence have a significant impact on behavioural intention and facilitating condition also significantly impacts behavioural intention which in turn impacts usage behaviour of electronic health records and telemedicine. The limitations and future research are suggested and delineated.

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References

  1. AlDossary, S., Martin-Khan, M.G., Bradford, N.K., Smith, A.C.: A systematic review of the methodologies used to evaluate telemedicine service initiatives in hospital facilities. Int. J. Med. Inf. 97, 171–194 (2017)

    Article  Google Scholar 

  2. Bickmore, T., Vardoulakis, L., Jack, B., Paasche-Orlow, M.: Automated promotion of technology acceptance by clinicians using relational agents. In: Intelligent Virtual Agents, pp. 68–78. Springer, Heidelberg, January 2013

    Chapter  Google Scholar 

  3. Chiang, M.F., Boland, M.V., Margolis, J.W., Lum, F., Abramoff, M.D., Hildebrand, P.L.: Adoption and perceptions of electronic health record systems by ophthalmologists: an American Academy of Ophthalmology survey. Ophthalmology 115(9), 1591–1597 (2008). American Academy of Ophthalmology Medical Information Technology Committee

    Article  Google Scholar 

  4. Gheorghe, M., Petre, R.: Integrating data mining techniques into telemedicine systems. Informatica Economica 18(1), 120–130 (2014)

    Article  Google Scholar 

  5. Jeyakodi, T., Herath, D.: Acceptance and use of electronic medical records in Sri Lanka. Sci. Res. J. (SCIRJ) 4 (2016)

    Google Scholar 

  6. Katzenstein, J., Yrle, A.C., Chrispin, B., Hartman, S., Lundberg, O.: Telemedicine: an innovative technique in healthcare delivery. Acad. Health Care Manag. J. 8(1/2), 49 (2012)

    Google Scholar 

  7. Narattharaksa, K., Speece, M., Newton, C., Bulyalert, D.: Key success factors behind electronic medical record adoption in Thailand. J. Health Organ. Manag. 30(6), 985–1008 (2016)

    Article  Google Scholar 

  8. Tavares, J., Oliveira, T.: Electronic health record portal adoption: a cross country analysis. BMC Med. Inform. Decis. Mak. 17(1), 97 (2017)

    Article  Google Scholar 

  9. Ward, R., Stevens, C., Brentnall, P., Briddon, J.: The attitudes of health care staff to information technology: a comprehensive review of the research literature. Health Inf. Libr. J. 25(2), 81–97 (2008)

    Article  Google Scholar 

  10. Zaidi, S.T.R., Marriott, J.L., Nation, R.L.: The role of perceptions of clinicians in their adoption of a web-based antibiotic approval system: do perceptions translate into actions? Int. J. Med. Inf. 77(1), 33–40 (2008)

    Article  Google Scholar 

  11. Zurovac, J., Dale, S., Kovac, M.: Perceptions of electronic health records and their effect on the quality of care: results from a survey of patients in four states. Mathematica Policy Research (2012)

    Google Scholar 

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Acknowledgements

This work is supported by Fundação para a Ciência e Tecnologia (FCT) with ref. PEst2015-2020.

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Correspondence to M. L. R. Varela .

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Venugopal, P., Priya, S.A., Manupati, V.K., Varela, M.L.R., Machado, J., Putnik, G.D. (2019). Impact of UTAUT Predictors on the Intention and Usage of Electronic Health Records and Telemedicine from the Perspective of Clinical Staffs. In: Machado, J., Soares, F., Veiga, G. (eds) Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-91334-6_24

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