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Digital Anamnesis: An Exploratory Study on Patient Acceptance

  • Purpose: The goal of this paper is to develop a technology acceptance model for digital anamnesis and explore the factors that influence individual adoption behavior. Methods: Through a literature review we identified important factors that influence acceptance. We then conduct an empirical study among patients with 115 respondents. Subsequently, we test the model using partial least squares path modelling. Results: We found that performance expectancy, social influence, and trust are the most have significant influence on behavioral intention. A group comparison reveals significant differences between young and old patients. The model explained 57.5 % of the variance of behavioral intention. Conclusions: This study helps us understand the key determinants of patient acceptance behavior, and enables us to give advice to businesses in the early stages of development.

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Author:Sean Patrick Baarß
Advisor:Lars Binckebanck
Document Type:Bachelor Thesis
Year of Completion:2017
Granting Institution:Hochschule Furtwangen
Release Date:2017/03/09
Tag:Digital anamnesis; Technology acceptance; UTAUT2; eHealth
Degree Program:IBW - Internationale Betriebswirtschaft
Functional area:Andere/Other
Licence (German):License LogoUrheberrechtlich geschützt