Description

In order to keep the stakeholders informed about the changes that will occur in the healthcare sector in the near future, this book subject focuses on bringing the current and future landscape of the industry together. The traditional healthcare sector is mostly moving away from reactive treatment, manual record-keeping, and in-person medical visits. However, the industry has undergone a transformation with the introduction of cloud computing, big data, and artificial intelligence (AI). Predictive diagnosis, real-time monitoring, and automated therapy recommendations are now available in AI-driven healthcare solutions. AI-powered hospital administration and diagnostics solutions are being pioneered in India by a number of IT companies and healthcare facilities, including TCS, Wipro, and Microsoft India. Similar to this, hospitals like Apollo Hospitals and Narayana Health have incorporated robotic surgery and AI chatbots to increase productivity and enhance patient outcomes. Blockchain technology is being incorporated into genomics by start-ups like Shivom, guaranteeing safe and impenetrable transmission of health data. In the same field, Tata Digital Health works to lessen cyber threats and data breaches. As businesses like MayMyGenome provide DNA-based health assessments and customize medicines to each patient's unique genetic predispositions, artificial intelligence is making personalized treatment plans possible. Through machine learning models, AI is also assisting in the prediction of chronic conditions like diabetes. The expanding use of digital health solutions, the rise in AI-powered diagnostics, and the developments in telemedicine will all influence India's future AI-driven healthcare models.