A Study on Economic Impact Artificial Intelligence in Healthcare
Author : Aishwarya P and Dr. MD Chinnu
Abstract :
Artificial intelligence is increasingly shaping modern healthcare by improving how diseases are diagnosed, treatments are planned, and patients are monitored. Through machine learning, AI systems can analyze vast and complex medical data, allowing for earlier and more accurate detection of illnesses. These technologies support clinicians in making better decisions, although concerns remain about how transparent and understandable AI algorithms truly are. By automating routine administrative tasks, AI helps reduce the workload of healthcare professionals and eases burnout, enabling them to focus more on patient care. At the same time, the use of AI in healthcare raises important ethical issues, particularly around data privacy, security, and informed patient consent. If AI systems are trained on incomplete or biased data, they risk reinforcing existing inequalities in healthcare delivery. Implementing AI also requires substantial financial investment and strong technical infrastructure, which may limit accessibility in resource-constrained settings. Rather than replacing healthcare workers, AI is reshaping professional roles by encouraging collaboration between humans and intelligent systems. However, legal and regulatory frameworks often struggle to keep pace with rapid technological advancements. Overall, while AI offers significant benefits to healthcare, it also presents serious social, ethical, and regulatory challenges that must be carefully addressed.
Keywords :
Artificial Intelligence (AI), Healthcare Transformation, Machine Learning, Diagnostic Accuracy, Clinical Decision-Making, Patient Monitoring, Administrative Automation, Ethical Challenges etc.
