The Indian healthcare industry is incorporating AI-based tools, which have the potential to supplement human intelligence and provide scalable solutions. AI can turn enormous medical data into useful information that can help detect complicated diseases, accelerate healthcare responses, and improve public health surveillance. Although AI in healthcare is still in its early stages in India, it has the potential to add $25 billion to $30 billion to India’s GDP by 2025, according to a recent NASSCOM report.
Introduction:
The healthcare industry in India is expanding rapidly and is becoming more technologically advanced by the day. With the help of artificial intelligence (AI) tools, the Indian healthcare ecosystem is gradually embracing what is known as “robotic intervention.” AI in healthcare has the potential to supplement human intelligence and provide us with more sustainable and scalable solutions. Although AI in healthcare is still at a nascent stage in India, it has the potential to add $25 billion to $30 billion to India’s GDP by the year 2025, according to a recent report by NASSCOM. In this article, we will analyze the use of AI in healthcare and how it coexists with conventional practices in the real world.
What Is Artificial Intelligence (AI)?
AI is the ability of machines to perform cognitive tasks like thinking, perceiving, learning, problem-solving, and decision-making, according to NITI Aayog, the government of India. It is a new general-purpose technology (GPT) that complements human labor and tasks such as reasoning, creativity, and managing multiple tasks at once. AI uses various technologies, such as computer vision, audio processing, cognitive robotics, speech analytics, language processing, and machine learning techniques, to derive AI-based solutions.
AI can transform the healthcare landscape of India, as it can effectively turn enormous medical and patient data into useful pieces of information, which can further help in detecting complicated diseases, accelerating health-based responses, and improving public health surveillance.
Healthcare Scenario of India:
The healthcare industry in India is one of the largest sectors in terms of employment and revenue generation opportunities. The market size of the healthcare industry in India was valued at $372 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of nearly 20% from 2023 to 2030, according to the NASSCOM report.
The landscape of healthcare in India has been transformed post-pandemic COVID-19, and it has become more robust and challenging. The pandemic pushed rapid advancements in technology and propelled AI-related investment in Indian medical and healthcare start-ups for much better and more efficient care management.
To boost the country’s healthcare infrastructure, in the Union Budget 2023–24, the healthcare sector has been allocated INR 89,155 crore to undertake all the new-age research and innovation-based healthcare initiatives on a massive scale. The government of India has also encouraged several industry players to invest in research and development in priority areas, including innovative technologies in healthcare.
Role of Artificial Intelligence (AI) in Healthcare In India:
AI plays a major role in complicated areas such as healthcare. It has the real potential to speed up the pace of diagnoses and treatments with low-cost solutions. This technology further frees up the valuable time of doctors, surgeons, and nurses, so that they can focus on more important things related to patient care.
AI-based tools have been implemented effectively in various activities such as hospital billing, documentation, revenue, and medical record management. AI has also proven to be massively beneficial in India in mining medical records, designing health treatment plans, predicting early detection of various life-threatening diseases, cancer and diabetes screening, AI-based tools for eyes and other related treatments, Chronic Obstructive Pulmonary Disease Diagnosis (COPD) and management, AI-powered tools for screening COVID-19, accurate and fast health diagnostic results, helping in the drug design process, predicting timely outcomes for pregnant women and newborns with marked improvements over conventional statistical methods, and consistent monitoring of newborns identified as low birth weight.
AI also helps in achieving accurate results and timely outcomes with the usage of tools like laboratory diagnosis, clinical diagnosis, and imaging analysis. Whereas, machine learning (ML), deep learning (DL), and natural language processing (NLP) are some of the common AI-based solutions.
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