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Factors influencing the adoption of computerized medical diagnosing system for tuberculosis

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Abstract

The study of the factors that influence the use of automated diagnosing system for Tuberculosis (TB) can help in developing a strategy to enhance health professional’s acceptance of a given new system. This paper aims to examine the factors influencing the adoption of Computer-assisted Medical Diagnosing system for TB by clinicians and lab technicians in the context of developing countries health care. For that, we conducted a qualitative study by collecting data through in-depth interviews of the clinicians and lab technicians. A total of 18 interviews were conducted and the collected data was analysed, using content analysis. The results show that human characteristics (age and computer knowledge), technological characteristics (performance expectancy and effort expectancy), organizational characteristics (training and support), and technological impact could influence the adoption of CMD system for TB. The findings of this study would help researchers and medical professionals in providing them more knowledge about technological adoption and also helps to determine the uptake of the recent technology by healthcare professionals.

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Authors and Affiliations

  1. College of Engineering, Trikaripur, Kerala, India

    Rani Oomman Panicker

  2. Department of Computer Applications, Cochin University of Science and Technology, Kochi, India

    Rani Oomman Panicker & M. K. Sabu

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  1. Rani Oomman Panicker
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Correspondence to Rani Oomman Panicker.

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Panicker, R.O., Sabu, M.K. Factors influencing the adoption of computerized medical diagnosing system for tuberculosis. Int. j. inf. tecnol. 12, 503–512 (2020). https://doi.org/10.1007/s41870-019-00396-6

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