The Indian economy has been witnessing remarkable economic growth in
recent times, but the increasing healthcare overheads are still a major challenge.
Telemedicine is a distant health service that uses electronic methods to diagnose, treat,
and prevent disease and damage, as well as to conduct research and educate health care
practitioners. Because of the diversified geography, challenging terrain, and a large
number of people, it helps to bridge the gap between resources and demand in the
healthcare system. It provides a chance for successful collaboration between primary
and secondary healthcare centers, as well as reaching out to the rural masses. The
Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and big
data science have emerged as promising technologies. All patient data may be
transferred to the cloud for continued monitoring, which can then be consulted by
medical specialists at any time and from anywhere. With the increasing use of
cyberspace for teleconsultation, data storage, data protection, and confidentiality
obligations become imperative. The Telemedicine Guidelines of India (2020) are the
first step in standardizing teleconsultation services in India. A case study was
conducted to determine the level of satisfaction among the patients from the
telemedicine aspect. A sample size of 100 individuals was collected on various
parameters namely, age, marital status, education, gender, income, income category,
and telemedicine satisfaction. IBM’s SPSS tool was used to understand the statistical
aspects. In almost all cases, the survey showed that the patients had good feedback
which shows that telemedicine is the way forward where patients can consult with
doctors in the comfort of their homes instead of visiting clinics. The goal of the chapter
is to explore the current state of telemedicine in India, as well as its uses, problems, and
future potential.
Keywords: AI, Challenges, Data Science, Machine Learning, Telemedicine.
