CYIRNov 25, 2020

An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country

arXiv:2011.12620v16 citations
AI Analysis

This research aims to improve the understanding of CDSS acceptance among healthcare professionals in developing countries, where healthcare sectors are often under-resourced.

This paper proposes an extended Task-Technology Fit (TTF) Framework for assessing the acceptance of Clinical Decision Support Systems (CDSS) in developing countries. The framework was developed through a three-phase qualitative research process.

This paper is to create a basis of theoretical contribution for a new PhD thesis in the area of Clinical Decision Support Systems (CDSS) acceptance. Over the past three years, we conducted qualitative research into three distinctive phases to develop an extended Task-Technology Fit (TTF) Framework. These phases are for initiating requirement generation of the framework, discovering the factors of the framework through perspectives, and evaluating the new proposed framework. The new condition is related to developing country in which various sectors such as healthcare is mostly under attention. We conduct a new inspective for assisting decisions to support technology and its usefulness in this sector to integrate with other frameworks for assisting the value, use, and how can be better accepted in the context of healthcare professionals.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes