Artificial Intelligence and Healthcare in India

 TARGET GROUP: HEALTHCARE SYSTEM

OBJECTIVES

•   To create electronic health data repositories which have adequate high-quality annotated health data for machine learning applications

•   To create a national-level clinical decision support system which could enable better management of routine clinical problems by less-skilled healthcare providers

•   To create self-learning digital systems in fields such as radiology, genomics, pathology to enhance the future of healthcare

SUMMARY

In healthcare, AI could be beneficial in mining medical records; designing treatment plans; forecasting health events; assisting repetitive jobs; doing online consultations; assisting in clinical decision making; medication management; drug creation; making healthier choices and decisions; and solving public health problems etc. AI could be very helpful in areas where there is scarcity of human resources, such as rural and remote areas. AI technology has been helpful in dealing with COVID-19 in India. It has helped in preliminary screening of COVID-19 cases, containment of coronavirus, contact tracing, enforcing quarantine and social distancing, tracking of suspects, tracking the pandemic, treatment and remote monitoring of COVID-19 patients, vaccine and drug development etc. The path for adoption of AI driven healthcare in India is filled with a lot of challenges. The unstructured data sets, interoperability issues, lack of open sets of medical data, inadequate analytics solutions which could work with big data, limited funds, inadequate infrastructure, lack of manpower skilled in AI, regulatory weaknesses, inadequate framework and issues related to data protection are some of the key challenges for AI-driven healthcare.                        

REFERENCE

https://csd.columbia.edu/sites/default/files/content/docs/ICT%20India/Papers/ICT_India_Working_Paper_43.pdf