Publication:
ACCEPTANCE OF ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE INDUSTRY

Date
2021
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Publisher
International Medical University
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Abstract
Aims: With the rapid proliferation of data in healthcare it has provided an opportune platform creation of Artificial Intelligence (AI). AI has brought a paradigm shift for healthcare professionals, promising improvement in delivery and quality. This study aims to determine the perception of healthcare personnel on perceived ease of use, perceived usefulness, and subjective norm toward attitude for artificial intelligence acceptance. Methods: This is a cross-sectional single institutional study of employees’ perception of adopting AI in the hospital. The study population is all healthcare personnel of a private hospital. The inclusion criteria include all healthcare personnel involved with clinical management such as doctors, nurses, and others. The survey was conducted using a questionnaire adapted from Technology Acceptance Model and a four-point Likert scale was used for the measurement variables in this study. Data were analysed using IBM Statistical Package for the Social Sciences (SPSS) Version 26. Results: There were 96 respondents. This study started off with three hypotheses but has found that only two hypotheses have been accepted and one hypothesis has been rejected. H2 to H3 perceived usefulness and subjective norm respectively, showed positive relationship between their perception on artificial intelligence acceptance and were accepted However, H1 which was ease of use, was rejected as it did not generate a positive relationship between ease of use on attitude and artificial intelligence acceptance. Conclusion: This study has shown the significant relationship and the importance of ease of use, perceived usefulness, and subjective norm to the acceptance of AI. In the study results, there are determining factor and mostly those with most interaction with the patients and clinical management have a strong acceptance of AI in their practices. Key words: Artificial Intelligence, Acceptance, Healthcare, Healthcare Professionals
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Keywords
Artificial Intelligence, Perception, Delivery of Health Care, Cross-Sectional Studies, Hospitals, Private
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