Off Your VPN/Proxy

Please Off Your VPN or any type of Proxy to access the content of this page

Off VPN or Proxy and Click Below Button

IF You Disabled VPN and still facing issue then Contact the Developer on "telegram id -@hcktech" to WHITELIST your ip address

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.