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Beyond TAM and UTAUT: Future directions for HIT implementation research.
Shachak, Aviv; Kuziemsky, Craig; Petersen, Carolyn.
Afiliación
  • Shachak A; Institute of Health Policy, Management and Evaluation (Dalla Lana School of Public Health), University of Toronto, Toronto, ON, Canada; Faculty of Information, University of Toronto, Toronto, ON, Canada. Electronic address: aviv.shachak@utoronto.ca.
  • Kuziemsky C; MacEwan University, Edmonton, AB, Canada.
  • Petersen C; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States.
J Biomed Inform ; 100: 103315, 2019 12.
Article en En | MEDLINE | ID: mdl-31629923
ABSTRACT
The Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) have been used widely in studies of health information technology (HIT) implementation. However, TAM and UTAUT have also been criticized for being overly simplistic (TAM) and for taking a narrow perspective, which focuses only on individual adopters' beliefs, perceptions and usage intention. Furthermore, with thousands of studies using these theories, their contribution to knowledge has reached a plateau. In this commentary, we discuss some of the criticism of TAM and UTAUT, and argue that biomedical informatics research would benefit from shifting attention from these theories to multi-dimensional approaches that can better capture the complexity of issues surrounding implementation and use of HIT. We propose a number of future undertakings which, in our opinion, are more likely to move the field forward.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Informática Médica Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Informática Médica Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article