Facilitators and barriers that influence Nursing Professionals in the Adoption of Information Systems:

a systematic review





Technology Adoption, Nursing Information Systems, TAM, Systematic Review


Through a systematic literature review, the current research aimed to acknowledge the main facilitators and barriers that influence the adoption of Information Systems by nursing professionals. Furthermore, it listed the principal theoretical models used to measure technology acceptance and the methods used to perform data collection. It was possible to see that TAM was the model with the highest frequency of appearance. It was also was possible to identify 19 (nineteen) facilitators and 23 (twenty-three) barriers reported in the selected studies. The findings allowed us to understand better how the phenomenon occurs, what can be worked on to improve technology acceptance, and allow new and in-depth studies to be carried out.


Download data is not yet available.


Anne-Maria, V., Hans-Ulrich, P., Scott, E., & Kathryn, K. (2016). Evaluation of Acceptance of Nursing Information System in a German and American Hospital. Nursing Informatics: Studies in Health Technology and Informatics, 225, 118–122.

Bjarnadottir, R., & others (2017). Implementation of electronic health records in US nursing homes.. CIN: Computers, Informatics, Nursing, 35(8), 417-424.

Chau, P., & Hu, P. (2002). Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems, 18(4), 191-229.

Collins, S., Alexander, D., & Moss, J. (2015). Nursing domain of CI governance: Recommendations for health IT adoption and optimization. Journal of the American Medical Informatics Association, 22(3), 697–706.

Davis, F. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Massachussets Institute of Technology.

Évora, Y. (2007). A enfermagem na era da informática. Revista Eletrônica de Enfermagem, 9(1), 14.

Frank, J., Salmona, M., Rivard, P., & Al-Amin, M. (2018). A study of Cook Islands nurses’ attitudes towards electronic medical records technology. The Electronic Journal of Information Systems in Developing Countries, 84(5).

Garavand, A., & others (2016). Factors influencing the adoption of health information technologies: a systematic review. Electronic Physician, 8(8), 2713–2718.

Garcia-Smith, D., & Effken, J. (2013). Development and initial evaluation of the Clinical Information Systems Success Model (CISSM). International Journal of Medical Informatics, 82(6), 539–552.

Gardner, R., & Lundsgaarde, H. (1994). Evaluation of user acceptance of a clinical expert system. Journal of the American Medical Informatics Association, 1(6), 428–438.

Gartrell, K., Trinkoff, A., Storr, C., & Wilson, M. (2015). Electronic personal health record use among nurses in the nursing informatics community. CIN: Computers, Informatics, Nursing, 33(7), 306–314.

Gartrell, K., Trinkoff, A., Storr, C., Wilson, M., & Gurses, A. (2015). Testing the electronic personal health record acceptance model by nurses for managing their own health: A cross-sectional survey. Applied Clinical Informatics, 6(2), 224–247.

Handayani, P., & others (2017). Acceptance model of a Hospital Information System. International Journal of Medical Informatics, 99, 11-28.

Haux, R. (2006). Health information systems - Past, present, future. International Journal of Medical Informatics, 75(3-4), 268-281.

Heidarizadeh, K., Rassouli, M., Manoochehri, H., Zagheri Tafreshi, M., & Kashef Ghorbanpour, R. (2017). Nurses' perception of challenges in the use of an electronic nursing documentation system. CIN: Computers, Informatics, Nursing, 35(11), 599–605.

Hsiao, S.J., Li, Y.C., Chen, Y.L., & Ko, H.C. (2009). Critical factors for the adoption of mobile nursing information systems in taiwan: The nursing department administrators’ perspective. Journal of Medical Systems, 33(5), 369–377.

Hsieh, P. (2015). Healthcare professionals’ use of health clouds: Integrating technology acceptance and status quo bias perspectives. International Journal of Medical Informatics, 84(7), 512-523.

Hsu, S.C., Liu, C.F., Weng, R.H., & Chen, C.J. (2013). Factors influencing nurses’ intentions toward the use of mobile electronic medical records. CIN: Computers, Informatics, Nursing, 31(3), 124–132.

Hung, S.Y., Tsai, J.A., & Chuang, C.C. (2014). Investigating primary health care nurses’ intention to use information technology: An empirical study in Taiwan. Decision Support Systems, 57, 331–342.

Hüsers, J., Hübner, U., Esdar, M., Ammenwerth, E., Hackl, W., Naumann, L., & Liebe, J. (2017). Innovative power of health care organisations affects it adoption: A bi-national health it benchmark comparing Austria and Germany. Journal of Medical Systems, 41(2), 33.

Ifinedo, P. (2012). Technology acceptance by health professionals in Canada: an analysis with a modified UTAUT model. In Proceedings in 45 Annual Hawaii International Conference on System Sciences (pp. -).

Ifinedo, P. (2016). The moderating effects of demographic and individual characteristics on nurses’ acceptance of information systems: A canadian study. International Journal of Medical Informatics, 87, 27–35.

Ifinedo, P. (2017). Using an extended theory of planned behavior to study nurses’ adoption of healthcare information systems in nova scotia.. International Journal of Technology Diffusion, 8(1), 1–17.

Jensen, T., & Aanestad, M. (2007). How Healthcare Professionals “Make Sense” of an Electronic Patient Record Adoption. Information Systems Management, 24(1), 29-42.

Jones, N., & Seckman, C. (2018). Facilitating adoption of an electronic documentation system. CIN: Computers, Informatics, Nursing, 36(5), 225–231.

Kanungo, S. (1998). An empirical study of organizational culture and network-based computer use. Computers in Human Behavior, 14(1), 79–91.

Karimi, F., Poo, D., & Tan, Y. (2015). Clinical information systems end user satisfaction: The expectations and needs congruencies effects. Journal of Biomedical Informatics, 53, 342–354.

Kim, H.W., & Kankanhalli, A. (2009). Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly, 33(3), 567.

Laudon, K., & Laudon, J. (2010). Essentials of management information systems. Pearson Prentice Hall.

Lee, T.T., Mills, M., Bausell, B., & Lu, M.H. (2008). Two-stage evaluation of the impact of a nursing information system in Taiwan. International Journal of Medical Informatics, 77(10), 698–707.

Lee, T.T., Mills, M., & Lu, M.H. (2009). The multimethod evaluation of a nursing information system in taiwan. CIN: Computers, Informatics, Nursing, 245–253.

Lin, H.C. (2015). The Impact of National Cultural Differences on Nurses’ Acceptance of Hospital Information Systems.. CIN: Computers, Informatics, Nursing, 33(6), 265-272.

Lin, H.C. (2017). Nurses' satisfaction with using nursing information systems from technology acceptance model and information systems success model perspectives: A reductionist approach. CIN: Computers, Informatics, Nursing, 35(2), 91–99.

Lin, H.C., & others (2016). Understanding the impact of nurses’ perception and technological capability on nurses’ satisfaction with nursing information system usage: A holistic perspective of alignment. Computers in Human Behavior, 57, 143–152.

Lin, Y.T., & Lin, Y.C. (2016). Effects of mental process integrated nursing training using mobile device on students’ cognitive load, learning attitudes, acceptance, and achievements. Computers in Human Behavior, 55, 1213–1221.

Lu, C.H., Hsiao, J.L., & Chen, R.F. (2012). Factors Determining Nurse Acceptance of Hospital Information Systems. CIN: Computers, Informatics. Nursing, 30(5), 257-264.

Maillet, E., Mathieu, L., & Sicotte, C. (2015). Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT. International Journal of Medical Informatics, 84(1), 36–47.

Medina, E., & Pailaquilén, R. (2010). A revisão sistemática e a sua relação com a prática baseada na evidência em saúde. Revista Latino-Americana de Enfermagem, 18(4), 1-8.

Mehdi, K., Majdabadi, H., Mozhgan, K., Sadat, G., Saedeh, A., Farzaneh, K., & Mehri, F. (2012). Nurses’ perception about the effect of hospital information system in Iran. Information, 15(4), 1823–1832.

Michel-Verkerke, M., & Hoogeboom, A. (2012). Evaluation of an Electronic Patient Record in a Nursing Home: One Size Fits All?. In Proceedings in 45 Hawaii International Conference on System Sciences (pp. -).

Or, C., Dohan, M., & Tan, J. (2014). Understanding critical barriers to implementing a clinical information system in a nursing home through the lens of a socio-technical perspective. Journal of Medical Systems, 38(9), 99.

Saleem, J., Plew, W., Speir, R., Herout, J., Wilck, N., Ryan, D., Cullen, T., Scott, J., Beene, M., & Phillips, T. (2015). Understanding barriers and facilitators to the use of Clinical Information Systems for intensive care units and Anesthesia Record Keeping: A rapid ethnography. International Journal of Medical Informatics, 84(7), 500–511.

Urquhart, C., & others (2009). Nursing record systems: effects on nursing practice and health care outcomes. Cochrane Database of Systematic Reviews, 1.

Venkatesh, V., & others (2003). User acceptance of information technology: toward a unified. MIS Quarterly, 27(3), 425-478.

Vezyridis, P., Timmons, S., & Wharrad, H. (2012). Implementation of an Emergency Department Information System A Qualitative Study of Nurses’ Attitudes and Experience.. CIN: Computers, Informatics, Nursing, 30(10), 540–546.




How to Cite

Souza Amaral Neto, A., Montaleão Brum Alves, R., Ferreira da Silva, M., Assis Schmitz, E. ., & Juarez Alencar, A. (2022). Facilitators and barriers that influence Nursing Professionals in the Adoption of Information Systems:: a systematic review. ISys - Brazilian Journal of Information Systems, 15(1), 15:1–15:29. https://doi.org/10.5753/isys.2022.2231



Special issues articles

Most read articles by the same author(s)