Page - 64 - in Applied Interdisciplinary Theory in Health Informatics - Knowledge Base for Practitioners

Technology Acceptance Models in ealth nformatics: TAM and UTAUT Elske AMMENWERTHa,1 a UMIT – University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria Abstract. Both the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) aim at understanding better why users accept or reject a given technology, and how user acceptance can be improved through technology design. Two case studies are presented where TAM and UTAUT were successfully used in a health care setting to predict technology adoption. Both models have found popularity in health care. However, recent reviews show that TAM and UTAUT failed to provide stable predictive capabilities for acceptance and use of technologies in health care. Reasons for this may be the specific context of health care, where not only the technology, but also socio- organizational and cultural factors influence technology acceptance. Keywords. Health informatics; Assessment, technology; Intention; Attitude to computers; Models, theoretical Learning objectives After reading this chapter the reader will understand: 1. How TAM and UTAUT attempt to predict and explain technology acceptance and technology usage. 2. How TAM and UTAUT can be applied in health informatics projects to predict and support health IT acceptance and usage. 3. The strengths and limitations of TAM and UTAUT with regard to prediction of the support needed for health IT acceptance and usage. 1. Introduction to TAM and UTAUT This section introduces TAM and UTAUT as two technology acceptance models. Both have several similarities, which is not surprising, as UTAUT was among others developed based on TAM. We decided to focus on TAM and UTAUT, from a longer list of available technology acceptance theories (for an overview, see for example [1, 2]), as both have found widespread adoption in health care. 1 Corresponding Author: Elske Ammenwerth, E-mail: elske.ammenwerth@umit.at. H I Applied Interdisciplinary Theory in Health Informatics P. Scott et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/SHTI190111 64