Technology Acceptance in Health Care: An Integrative Review of Predictive Factors and Intervention Programs


Gucin N. O. , Berk O. S.

World Conference on Technology, Innovation and Entrepreneurship, İstanbul, Türkiye, 28 - 30 Mayıs 2015, ss.1698-1704 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1016/j.sbspro.2015.06.263
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1698-1704

Özet

The acceptance and increasing utilization of technological innovations in health care are crucially beneficial for both health care professionals and patients during the diagnosis and treatment processes. The literature includes various intervention programs aiming to increase technology acceptance in this field. In this review, studies investigating the factors influencing the technology acceptance and recent interventions intending to enhance the technology usage in the field are covered. Generally, theory of planned behavior, technology acceptance model, diffusion of innovation theory and unified theory of technology acceptance cover the most distinguished concepts and constructs to understand attitudes towards technological innovations. Influencing factors may differ for health care professionals and patients. While perceived benefits of technological innovations may be the most distinctive factor for health care professionals, ease of use is of big importance for patients. Perceived ease of use is affected by personal norms and perceived control beliefs. Suspicions of confidentiality and privacy are strong influencing factors for refusing technology usage for patients. Considering all these factors are necessary while designing intervention programs to enhance technology acceptance in health care. In the conclusion, the paper discusses whether the intervention programs originate from previously covered theoretical concepts and constructs. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.