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Artificial Intelligence in Healthcare: A study on the Implications of AI in Clinical Decision Support Systems

 

 

Manoj Kumar M1, Akila S2
Assistant Professor, MBA, Jerusalem College of Engineering

 

Abstract
Artificial Intelligence (AI) is rapidly transforming healthcare, particularly through its application in Clinical Decision Support Systems (CDSS). The research here examines how AI enhances healthcare provision by considering three aspects: effectiveness, efficiency, and trust. We employed a quantitative research design and collected responses from 50 healthcare workers across different hospital setups in India. Our statistical tests, such as t-tests, correlation, and ANOVA, revealed that AI highly increases the efficiency of healthcare provision. It also reflects a moderate positive relationship with clinical decision-making speed and efficiency. Concurrently, the perceptions and trust of healthcare professionals towards AI based CDSS were also consistent, showing generalized acceptance without significant variation. Overall, these results indicate that the implementation of AI makes healthcare outcomes robust through enhanced diagnostic accuracy and operational efficiency with sustained professional trust. The findings highlight the potential of AI not just as a useful resource but also as a disruptive factor through which it can make healthcare more responsive, reliable, and sustainable.

Keywords: Artificial Intelligence, Healthcare, Clinical Decision Support Systems, Effectiveness, Efficiency, Trust, Healthcare Professionals, Technology Adoption.

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