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

TL;DR

This study develops an extended Task-Technology Fit framework by integrating UTAUT to assess clinical decision support system acceptance in developing countries' healthcare sectors.

Contribution

It introduces a new, context-specific framework for evaluating CDSS acceptance in developing countries, combining UTAUT and TTF models.

Findings

Framework tailored for developing country healthcare contexts

Enhanced understanding of factors influencing CDSS acceptance

Guidelines for improving technology adoption in healthcare

Abstract

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.