AI-Driven Healthcare In India: The Need For A Unified Framework Balancing Safety And Innovation
- IJLLR Journal
- Mar 29
- 2 min read
Nallam Aditya Sri Ram, Sastra Deemed University, Thanjavur
Achanta Rama Chandra, Sastra Deemed University, Thanjavur
Atchuta Sai Gowtham, Sastra Deemed University, Thanjavur
ABSTRACT
Traditionally, healthcare relied on human knowledge, manual record- keeping, and traditional diagnostic approaches, which frequently resulted in inefficiencies, delays, and an increased risk of human error. The healthcare industry functions with the objective of patient care which in recent times has been boosted with technological advancements. With the rapid phase of globalization, technological acceleration has reshaped the global health industry. However, AI-driven innovations such as predictive analytics, robotic procedures, and automated administrative processes have greatly improved operational efficiency and patient outcomes. Artificial Intelligence being the brainchild of technology is the most discussed contemporary concept in the 21st century. The Covid-19 pandemic has significantly impacted the global health industry, raising concerns about technology usage, innovative diagnosis, treatment, and disease prevention. The incorporation of Artificial Intelligence (AI) into healthcare is transforming medical practice by providing unprecedented prospects for enhanced diagnoses, personalized therapy, and healthcare delivery. The basic or salient feature of AI in the medical field is treatment management as well as its diagnosis. However, this technological breakthrough creates enormous issues for health laws, which must adapt to address the ethical, legal, and regulatory consequences of artificial intelligence in medicine. The adoption of AI technologies in healthcare, including machine learning algorithms, natural language processing, and robotics, offers significant potential benefits. However, these advancements also bring forth critical challenges, particularly concerning data privacy, ethical considerations like patient autonomy, biased algorithmic functions and legal liabilities when AI systems fail or cause harm. The future of AI in global healthcare promises transformative advancements, bridging gaps in medical accessibility, efficiency and personalized treatment. Currently, there is no separate legislation to regulate AI which creates gloominess on application of AI in the healthcare industry.
This paper explores the dual facets of AI in healthcare, analyzing both its advantages, such as improved diagnostic accuracy and operational efficiency, and its drawbacks, including risks like data privacy of the patients and potential legal challenges in cases of AI-induced harm. This article explores the integration of AI technology with traditional diagnostic methods like radiology and pathology, as well as how real-time data processing improves clinical decisions. A comprehensive review of the global scenario was conducted, focusing on studies that explore the implementation of AI in various healthcare settings, its impact on patient outcomes, and the ethical and legal frameworks surrounding its use. This paper examines these ethical ramifications, highlighting the necessity of transparent, equitable, and patient-focused AI applications in the medical field.
Keywords: Artificial Intelligence, Healthcare Industry, Consent, Autonomy, Data Privacy and Ethical considerations.
