Adoption of technology has truly made the lives of people convenient and better. However, with the acceptance of these technologies, there is an instant communication between doctors and doctors; patients and patients; and doctors and patients to discuss about a particular clinical case. As per the estimates of World Bank, the life expectancy in India has grown from 41 years in 1960 to 68 years in 2015 that calls for the requirement of self-monitoring and preventive healthcare approach.5 lakh doctors available in the country and it would need 4 lakh more doctors by 2020 to fill the void.(source). Additionally, new technologies like the Internet of Things (IoT).
Machine Learning and Artificial Intelligence are playing a major role in helping doctors to solve complicated cases. It is one of the most crucial technologies for the pharma industry that plays a major role in supply chain management.However, as per the estimates of the World Health Organisation (WHO), 35 per cent of the fake drugs in the world come from India accounting to the counterfeit drug market of Rs 4000 crore.Sudip Chhatui, Vice President- Business and Operations, Curofy says that technology is creating a plethora of opportunities for healthcare organisations, pharmaceutical companies and patients together to make their lives simpler.Moreover, hospitals and multispecialities are using a wide array of technology to offer patient centric experience. Hence, there is an exigency for adopting technology that can simplify and improve security and inefficient processes.Improved supply chain in Pharma industryThe Indian Pharmaceutical industry is the third largest industry in the world with exports to more than 200 countries. Before IoT, Machine Learning and Artificial Intelligence, there was a disconnection in the doctor’s community. Digital transformation has disrupted various industries such as hospitality, transportation, insurance and education followed by Pharmacy and Healthcare.Potentially, applications and devices running on the concept of Artificial Intelligence, Machine Learning and Internet of Things have speeded up diagnosis of critical medical issues.
