Can Ease of Use and Usefulness perception be influenced by physicians characteristics in the adoption of technology innovations?

Cesar Augusto Pascali Rago; Paola Zucchi

doi:10.31686/ijier.vol8.iss10.2660

Authors

Cesar Rago Virtual University of São Paulo - UNIVESP https://orcid.org/0000-0002-8978-5590
Paola Zucchi Federal University of São Paulo https://orcid.org/0000-0002-7749-8033

DOI:

https://doi.org/10.31686/ijier.vol8.iss10.2660

Keywords:

Electronic Medical Record, Sociological Behaviour, Technology Acceptance Model, Technological innovation

Abstract

Ease of use and Usefulness are the two attributes of Technology Acceptance Model – TAM. These attributes are the basis of this article that comprises the results of a survey with 221 physicians located at Santa Casa de Misericordia de Santos - SCMS, in the state of São Paulo, Brazil regarding the use of an innovation technology tool like Electronic Medical Record. The method was based on a questionnaire specially developed for this study, based on the literature review and the results show that the younger and the newer to the profession, besides those who began to use voluntarily and those who had academic preparation to use this kind of tool showed greater perception of both attributes, what led them to a faster adoption of Electronic Medical Record and its funcionalities like clinical decision support and big data. It was also identified that gender, amount of training and instructors do not influence the perception of attributes leading to adoption, but the familiarity with informatics influence the perception of ease of use as though as professional ties influence the perception of usefullness.

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Author Biography

Paola Zucchi, Federal University of São Paulo

Dept. of Health Economy

References

Abdekhoda M, Ahmadi M, Gohari M, Alireza N. 2015. The Effects of Organizational Contextual Factors on Physicians’ Attitude toward Adoption of Electronic Medical Record. Journal of Biomedical Informatics. 2015, pp. 174-179. DOI: https://doi.org/10.1016/j.jbi.2014.10.008

BRAZIL - Health Ministery. 2017. CNES Tabnet. CNES. [Online] Health Ministery, Jun de 2017. [Citado em: 01 de Aug de 2017.] http://tabnet.datasus.gov.br/cgi/tabcgi.exe?cnes/cnv/atintbr.def.

Brazilian Internet Steering Committee. 2016. ICT in health 2015 - Survey on the use os Information and Communication Technologies in Brazilian Healthcare Facilities. São Paulo : cgi.br, 2016.

Chuttur, MY. 2009. Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Indiana University, USA Sprouts Working Papers on Information Systems. 9, 2009, Vol. 37.

Davis, FD. 1989. Perceived usefullness, perceived ease of use and user acceptance of Information Technology. MIS Quarterly. 13, 1989, Vol. 3. DOI: https://doi.org/10.2307/249008

Farias, JS, et al. 2011. Adoção do prontuário eletrônico do paciente em hospitais universitários do Brasil e Espanha. A percepção de profissionais de saúde. Rev Adm Pública. 5 de 45 de 2011, pp. 1303-1326. DOI: https://doi.org/10.1590/S0034-76122011000500004

Gadd, CS and Penrod, LE. (2000. Dichotomy between Physicians‘ and Patients‘ Attitudes Regarding EMR Use During Outpatient Encounters. Proceedings of the AMIA Symposium. (2000, pp. 275–79.

Ma, WW and Yuen, AH. 2006. Gender differences in Information Technology acceptance. Idea Group Inc. 2006. DOI: https://doi.org/10.4018/978-1-59140-815-4.ch085

Meade, B, Buckley, D and Boland, M. 2009. What Factors Affect the Use of Electronic Patient Records by Irish GPs? International Journal of Medical Informatics. 78 8, 2009, pp. 551-558. DOI: https://doi.org/10.1016/j.ijmedinf.2009.03.004

Morris, MG, Venkatesh, V and Ackerman, PL. 2005. Gender and Age Differences in Employee Decisions About New Technology: An Extension to the Theory of Planned Behavior. Transactions on Engineering Management. Feb 52(1), 2005, pp. 69-84. DOI: https://doi.org/10.1109/TEM.2004.839967

Mortom, ME and Wiedenbeck, S. 2009. A Framework for Predicting EHR Adoption Attitudes: A Physician Survey. Perspectives in Health Information Management. Fall 2009.

Neumeier, M. 2013. Using Kotter’s Change Management Theory and Innovation Diffusion Theory In Implementing an Electronic Medical Record. CJNI. 1, 2013, Vol. 1, 1.

Santa Casa de Misericordia de Santos. 2015. Balanço Social 2015. 2015, 2015.

Van der Meijden, MJ, et al. 2001. Development and Implementation of an EPR: How to Encourage the User. International Journal of Medical Informatics. 64 de 2001, pp. 173–85. DOI: https://doi.org/10.1016/S1386-5056(01)00208-8

Venkatesh, V and Davis, FD. 2000. A theoretical extension of the Technology Acceptance Model: four longitudinal studies. Management Science. 46 2, 2000. DOI: https://doi.org/10.1287/mnsc.46.2.186.11926

Venkatesh, V e Morris, MG. 2000. Why don´t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly. 24(1) de Mar de 2000, pp. 115-139.