How AI Can Transform Healthcare in India
The Healthcare system in India is the most dynamic and challenging sector. Many challenges like affordability, accessibility but particularly the shortage of doctors and services like qualified nurses, technicians, and infrastructure. With the development of AI, the overall cost of healthcare would get reduced due to increased efficiency. With the ability of AI to handle large data in a speedy fashion it can help in making innovations, design, and developing medical equipment. Having an AI-enabled system helps in reducing medical errors and increases productivity. AI can also overcome the barriers to access and solve the accessibility challenge.
Having an AI can also help doctors as it can provide prompt answers to medical queries and if the doctor is working with kiosks then could provide more personalized and improved service for patients. The medical system in India is able to address the need of third-world countries like Nepal, Bangladesh, Bhutan, and other developing nations. The healthcare efforts of the country are being leveraged to diagnose, stabilize, improve and reduce the need for expensive drugs.
Infrastructure Shortcomings One of the challenges of having an efficient healthcare system is infrastructure. The Indian government needs to realize the importance of having hospitals, medical colleges, laboratories as well as other labs in rural areas have to be upgraded and AI in at least some capacity to automatically schedule operations. The current healthcare system in India relies on a lot of manual efforts of doctors and nurses. Having AI can help eliminate this labor-intensive and non-durable job. Another challenge is the shortage of skilled staff. Software assistance in various steps of the patients' care process is very important. Medical facilities are very expensive for the common households. With modern storage units, it is able to license SIM cards to address this problem.
Policies and Prerequisite for Artificial Intelligence
Given the significance of AI to the Indian healthcare solution, Indian policymakers and the government need to be proactive in trying to address the problems faced by the country. The country needs to do as much as possible in overtaking international systems to ensure that AI is a standard feature of most medical institutions.
For the State to be wiser, India needs to have proactive healthcare artificial intelligence policies. What policies, procedures, initiatives, and systems are critical for India to be a leader in AI is to have discipline policies in the following areas;
Train Medical Professionals for Accelerating AI Projects
Currently, the medical profession is largely unstructured and has to face many possible cases due to the lack of pre-cognition and knowledge of the sites. A system to predict the likely outcome of cases or to provide temporary support for a specific surgical procedure, but all in a different system is very disruptive. The training of the medical profession can be done with modern IT methods. University courses can start from online training. Medical colleges can be integrated with AI through web portals.
However, as a technology for medical exploration is not newly developed, the training through IT can benefit the country. This will enable a person to access healthcare facilities for the cost of admission or incur the cost of training only through free of cost expenses with a three-monthly subscription. A doctor can receive medical education of all human beings from many different services and this will be accomplished through online training. This will create value addition in the system due to the training of medical specialists which will lead to the advancement of the research and development in the country.
Require All Medical Facilities to Develop an AI IT Infrastructure
Invasive, outdated IT infrastructures like the data center, IT infrastructure, solar power, etc have been the norm in India for many decades. The chronic cuts in the budget of IT have negatively impacted the medical industry. The Medical sector is a massive grassroots sector and is a part of the information technology startups in the country. Developing AI-based IT infrastructure for such a huge healthcare sector requires a huge amount of funding.
There are so many queries and bugs in AI medical systems these days. The infrastructure concept has come under a lot of pressure and an urgent need to upgrade. Increasingly as the economies of nations become more globally based, we can see an increase in the use of smartly integrated artificial intelligence infrastructures for real-time analysis of data. Medical indicators, data, and other relevant information can be obtained directly from AI platforms to enable public health agencies to efficiently reach out to the population.
Currently, medical centers and hospitals are expensive to rent. High tech solutions like prescription Coding are both times consuming and expensive. With smart TV receivers on smartphones, the outpatient proves their willingness and capabilities of the doctors to respond in real-time to patients. However, AI will bring more secure data in real-time, with more accurate analysis remotely anywhere in the world. In the long-run, it will save millions of precious human lives and will be cost-effective.