How AI And Big Data Can Help Boost Healthcare In India 2022

This pandemic has
resulted in an accelerated adoption of technology in healthcare. Doctors can
schedule video consultations at a moment’s notice to address the slightest concerns.
The internet allows users to purchase medicines, request diagnostic tests, pay
medical bills, and interact with medical experts, and so much more, all at the
click of a mouse.

 

Due to the exponential
growth of information technology, advanced technologies such as artificial
intelligence (AI) and big data would make healthcare more accessible, cheaper,
and equitable. In recent years, Big Data, artificial intelligence, and machine
learning have been giving people huge promises and keeping them – especially
when it comes to convenience and confidence. 

 

In every industry, artificial
intelligence
is becoming a powerful
tool for improving the way people consume and interact with content and
information. In the realm of healthcare, artificial intelligence, Big Data, and
machine learning are transforming the medicinal landscape. Pharmaceutical industries
are experiencing welcome changes in patient experience, use of technology in
medicine, operative procedures, drug development, automated operations, and
management and administrative applications.

 

Read More – What
Is Big Data Analytics and How to Prevent Cyber Security Attacks

In addition to the importance of artificial intelligence and Big
data in healthcare, multiple industry reports predict a 10-15x market size
growth by 2020. AI in the healthcare industry is
urgent in India because there are fewer doctors than the WHO-recommended ratio
of doctors to population in 28 states and union territories, so technology is
necessary to bridge that gap. 

 

The Indian health care
system also faces a shortage of over 76% of specialists, which highlights the
need to augment human presence with technology. A lack of rural health
facilities across multiple states is another area where technology
interventions can help. 

 

Using artificial
intelligence and big data in healthcare has multiple benefits such as better
diagnosis, patient care, and reducing fraud scope, as shown below.

 

The benefit of smart
healthcare system for semiurban and rural areas can be seen below. 

Imagine a hybrid
healthcare system that combines AI-enhanced platforms, sensor-based connected
devices, and best-in-class protocols, supported by paramedics at a kiosk at the
patient’s side and a physician at a centralized location offering real-time diagnosis
and remote consultation. This type of setup can revolutionize the healthcare
system and provide better primary healthcare access in rural areas. 

 1.
Result of preliminary diagnosis 

 

With AI solutions based
on deep learning, companies are replacing manual and error-prone image
analysis, increasing consistency and precision across diseases, and enhancing
diagnostics.

 

2.
Robotic surgery

 

In addition to being
minimally invasive, robotic procedures and surgeries provide doctors with
greater control during surgery. In addition to reducing complications among
patients, it also decreases the length of hospital stays worldwide.

 

3.
Virtual nursing assistants 

 

There are companies that
are offering virtual nursing assistant services whose objective is to reduce
gaps in healthcare, increase communication, and increase engagement while
saving people valuable time through monitored and managed interactions.

 

4.
Fraud detection

Systems that incorporate
artificial intelligence and machine learning to detect frauds and anomalies in
activities such as prescription processing, insurance billing, and insurance
claims processing.

 

Nevertheless, AI-powered
tools will face challenges in terms of data privacy and adherence to all data
security protocols that need to be addressed by the industry. In India, the
Data Protection Bill is likely to be introduced soon, providing a solution to
many of these concerns about privacy and security. An additional problem that
requires attention is the interoperability of AI-driven systems across multiple
platforms. Interoperable systems are essential to ensure a seamless experience
and efficient access to healthcare.

 While artificial
intelligence and big data are becoming more prominent in healthcare, they are
not going to replace doctors or trained medical staff. The objective is to
enhance healthcare delivery so that more people can have access to and more
affordable access to health care in tandem with medical professionals. With a
vast geography, a diverse population, and a need for better access to
healthcare, a country with geography like India would benefit from
technological advancements such as big data and 
ai in healthcare in India.
These would provide cost-effective, efficient, and safe solutions that would be
convenient for doctors as well as provide excellent patient care.

 

 

 

 

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