Indian healthcare inequalities and challenges are severely being confronted by artificial intelligence
Indian healthcare was miserably exposed during the second wave of the pandemic as it failed to accommodate the needs of all levels of covid patients. Apart from the infrastructural challenges, Indian healthcare possesses insufficient aid for the people who are not quite affluent or live near the metropolitan cities. The uneven distribution of healthcare professionals is another major concern born by Indian Healthcare along with other healthcare inequalities. Thus, to define a thriving future of Indian healthcare, the convergence of artificial intelligence and the healthcare industry is initiated in India. This further strengthens the healthtech of India making it confront the inequalities in the industry.
To start off with, artificial intelligence in Indian healthcare can break potential barriers for the industry to attain transparency and fairness causing it to serve honestly. Healthcare inequalities that lead to negligence’ will be significantly reduced as immediacy, accuracy, and efficiency get implanted with artificial intelligence. Perhaps the rationale grounds at which a patient should be analyzed is a part of artificial intelligence. Emergency care facilities, as well as minor health complications, are likely to be addressed with greater attention.
Uniform Resource Allocation
From the perspective of globalization, multiple countries belonging to the third world discovered plans that can assist their attempts in manufacturing new drugs by identifying their demand for them. The loopholes in the supply chain of medicines and other medical solutions are a perpetual occurrence in the drug discovery process of Indian healthcare. The application of artificial intelligence can efficiently renounce this healthcare inequality by recognizing favorable and unfavorable factors affecting the process of medical research. This further ensures the distribution of available resources to every laboratory and medical institute to continue their endeavor.
The Indian economy follows a mixed economy which resembles an expanded gap between the rich and the poor. The low-income group or the impoverished group of people in India are often neglected by Indian healthcare owing to its reservation with the affluent group. The cost-effective technology manifested by artificial intelligence is adequate to provide healthcare access to people regardless of their income level. As the Indian healthcare industry proficiently plant artificial intelligence, by the virtue of economy of scale, the overall cost will be decreased accommodating sufficient Indian population into it. The trend of only adhering to higher income groups is likely to be reduced as there will be no extra profit or the fervor to extract more money as an adequate amount will already be available for their healthcare professionals. This will further encourage in allocating identical attention towards every patient.
The rural areas or distant lands from the big cities in India are susceptible to being left out of the care of Indian healthcare. As evident from the cases of the current pandemic, patients tend to give up their lives before reaching the point of care. Although there has been the establishment of hospitals in the areas, they are not significantly empowered to implement powerful healthcare techniques that can save critical patients. Due to this healthcare inequality, Indian healthcare is in dire need of the remote healthcare services or telehealth that have currently emerged. This can protect Indian healthcare from disappointing the distant land patients who cannot otherwise have access to healthcare. Furthermore, the application can also facilitate smart clinics, limited knowledge employees to utilize the system, and help the rural patients with significant results of diagnostics and referrals.
Assists Lack of Workforce
Accessibility to big data and machine learning systems has compensated for the lack of healthcare professionals in certain areas. Often the possibility of human error is associated with a limited number of health professionals providing care to a large number of patients. This is considerably lowered as AI-driven healthtech can accurately detect diseases, suggest solutions and aid the repetitive mundane processes of the providers to divert their attention in the more required fields.