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On the global stage, AI and Machine Learning (ML) drove drug discovery and process optimisation, especially as large-scale pharma companies adopted AI for precision medicine. In India, pharmaceuticalcompanies responded to global environmental concerns and government mandates by adopting greener manufacturing techniques.
Artificial intelligence addresses key limitations of traditional health technology assessments—such as data gaps and time-intensive processes—through automation, real-time data integration, and advanced predictive modeling, leading to faster and more informed decisions. In order to automate and enhance these tasks, AI-driven NLP can assist.
With ongoing policy uncertainty, hubs must prioritize adaptable, resilient designs—focusing on process speed, modularity, data tracking, and selecting partners who can evolve with regulatory change. This momentum becomes the difference between a prescription that gets filled and one that becomes another abandonment statistic.
To help financially weak citizens gain access to affordable healthcare, the Pradhan Mantri Jan Arogya Yojana (PMJAY) was launched in 2018, providing about 500 million Indians with a ₹5 lakh family health insurance cover that include coverage for 1,400 medical procedures as well as critical diseases like prostate cancer.
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