Artificial Intelligence in Addressing Cost, Efficiency, and Access Challenges in Healthcare
Tufael1*, Atiqur Rahman Sunny2, Md Tahsin Salam3, Kaniz Fatima Bari4, Md Sohel Rana5
Journal of Primeasia 4(1) 1-5 https://doi.org/10.25163/primeasia.419798
Submitted: 17 July 2023 Revised: 20 September 2023 Published: 27 September 2023
Abstract
Objective: The healthcare industry is undergoing a transformative phase marked by rising costs and a shortage of healthcare professionals, necessitating the adoption of information technology-based solutions. Methods: This study explores the integration of artificial intelligence (AI) in addressing these challenges and enhancing healthcare systems. Using a systematic literature review, we examined the role of AI in overcoming issues such as limited access, high costs, inefficiencies, and an aging population. Our analysis focused on applications of AI in drug discovery, clinical trials, and patient care, including intelligent care systems and healthcare robotics. Results: The findings suggest that AI significantly accelerates drug discovery, streamlines clinical trials, and improves patient outcomes through advanced diagnostics and treatment support. AI has proven particularly effective during the COVID-19 pandemic, where it aided in diagnosis, contact tracing, and treatment decision-making, highlighting its potential to address existing vulnerabilities in healthcare systems. Conclusion: AI offers a paradigm shift in healthcare by providing clinicians with real-time access to robust clinical evidence and best practices, reducing reliance on anecdotal experience and cognitive biases. By harnessing the power of AI, healthcare systems can improve efficiency, reduce costs, and enhance patient outcomes, marking a significant step towards a more efficient, effective, and equitable healthcare system.
Keywords: Artificial Intelligence, Healthcare Efficiency, Cost Reduction, Access Improvement, Pandemic Response.
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