In a minimum of 400 words, compare and contrast the three major conceptual frameworks concerning technology and task: TTF, FITT, and ISTA.
1.Fit between Individuals Task and Technology – FITT – Ammenwerth et al.
2.Interactive Sociotechnical Analysis – ISTA – Harrison et al.
3.Clinical Adoption Meta-Model – CAMM – Price & Lau
BioMedCentral
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BMC Medical Informatics and
Decision Making
Research article Open Access
IT-adoption and the interaction of task, technology and individuals:
a fit framework and a case study
Elske Ammenwerth*1, Carola Iller2 and Cornelia Mahler3
Address: 1Institute for Health Information Systems, UMIT – University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol,
Austria, 2Institute for Educational Science, University of Heidelberg, Germany and 3Dept. of Psychiatry, University Hospitals of Heidelberg,
Germany
Email: Elske Ammenwerth* – elske.ammenwerth@umit.at; Carola Iller – iller@ews.uni-heidelberg.de;
Cornelia Mahler – cornelia_mahler@med.uni-heidelberg.de
* Corresponding author
Abstract
Background: Factors of IT adoption have largely been discussed in the literature. However,
existing frameworks (such as TAM or TTF) are failing to include one important aspect, the
interaction between user and task.
Method: Based on a literature study and a case study, we developed the FITT framework to help
analyse the socio-organisational-technical factors that influence IT adoption in a health care setting.
Results: Our FITT framework (“Fit between Individuals, Task and Technology”) is based on the
idea that IT adoption in a clinical environment depends on the fit between the attributes of the
individual users (e.g. computer anxiety, motivation), attributes of the technology (e.g. usability,
functionality, performance), and attributes of the clinical tasks and processes (e.g. organisation, task
complexity). We used this framework in the retrospective analysis of a three-year case study,
describing the adoption of a nursing documentation system in various departments in a German
University Hospital. We will show how the FITT framework helped analyzing the process of IT
adoption during an IT implementation: we were able to describe every found IT adoption problem
with regard to the three fit dimensions, and any intervention on the fit can be described with regard
to the three objects of the FITT framework (individual, task, technology). We also derive
facilitators and barriers to IT adoption of clinical information systems.
Conclusion: This work should support a better understanding of the reasons for IT adoption
failures and therefore enable better prepared and more successful IT introduction projects. We
will discuss, however, that from a more epistemological point of view, it may be difficult or even
impossible to analyse the complex and interacting factors that predict success or failure of IT
projects in a socio-technical environment.
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