title: Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model.
abstract: Recent empirical research has utilized the Technology Acceptance Model (TAM) to advance the understanding of doctors' and nurses' technology acceptance in the workplace. However, the majority of the reported studies are either qualitative in nature or use small convenience samples of medical staff. Additionally, in very few studies moderators are either used or assessed despite their importance in TAM based research. The present study focuses on the application of TAM in order to explain the intention to use clinical information systems, in a random sample of 604 medical staff (534 physicians) working in 14 hospitals in Greece. We introduce physicians' specialty as a moderator in TAM and test medical staff's information and communication technology (ICT) knowledge and ICT feature demands, as external variables. The results show that TAM predicts a substantial proportion of the intention to use clinical information systems. Findings make a contribution to the literature by replicating, explaining and advancing the TAM, whereas theory is benefited by the addition of external variables and medical specialty as a moderator. Recommendations for further research are discussed.
authors.affiliation: Technological Educational Institute of Crete, School of Technological Applications, Department of Sciences, Division of Computer Science, Heraklion, Crete, Greece. melas@staff.teicrete.gr
authors.forename: Christos D
authors.initials: CD
authors.lastname: Melas
authors.forename: Leonidas A
authors.initials: LA
authors.lastname: Zampetakis
authors.forename: Anastasia
authors.initials: A
authors.lastname: Dimopoulou
authors.forename: Vassilis
authors.initials: V
authors.lastname: Moustakis
mesh_terms: D000328:Adult; D001291:Attitude of Health Personnel; D016009:Chi-Square Distribution; D005260:Female; D006801:Humans; D008297:Male; D008490:Medical Informatics / Q000379:methods* / Q000639:trends; D008505:Medical Staff, Hospital / Q000523:psychology* / Q000706:statistics & numerical data; D008875:Middle Aged; D008960:Models, Psychological; D009741:Nursing Staff, Hospital / Q000523:psychology* / Q000706:statistics & numerical data; D012107:Research Design; D013672:Technology