ARTIFICIAL INTELLIGENCE IN HEALTHCARE SYSTEMS EXPLORING THE TRANSFORMATIONAL ROLE OF AI TECHNOLOGIES IN HEALTHCARE MANAGEMENT AND CLINICAL DECISION SUPPORT

Abstract

Artificial intelligence (AI) has become one of the revolutionary elements in the modern healthcare system and is increasingly used in the management of healthcare and also in the clinical decision support. Its growing popularity indicates the broader digital transformation of healthcare in which hospitals and healthcare organizations are in search of more efficient, data-driven, and responsive means of enhancing the delivery of services to patients, patient outcomes, and operational performance. It is against this backdrop that this article will seek to discuss the transformational aspects of AI technologies in a healthcare system, with special reference to health care management and clinical decision support. The proposed study will use the qualitative secondary research design that uses thematic analysis of 15 chosen peer-reviewed journal articles. Relevance to AI in healthcare, particularly to clinical decision-making, healthcare administration, implementation, and governance were used to screen these articles. With the help of interpretive analysis of the literature chosen, the following four general themes were recognized. To begin with, AI supplements clinical decision support with predictive analytics, diagnosis support, treatment planning, risk alerts, and better speed and accuracy of clinical decisions. Second, AI is an engine of healthcare management efficiency as it enhances workflow management, resource allocation, hospital operations, readmission reduction, and cost performance. Third, there are various adoption barriers that have been mentioned in the literature, which include infrastructure constraints, privacy and security, implementation cost, lack of trust, and ethical concerns. Fourth, the four factors that should be successful in terms of integration include organizational, human, and governance factors like clinician involvement, explainability, training, quality management, and policy support. The paper comes to the conclusion that AI has a significant transformational potential in a healthcare system. Nevertheless, its efficient and effective implementation requires a strong governance, institutional preparedness, confidence and constant human supervision.