A Study of Possible AI Aversion in Healthcare Consumers

Computer systems, that are capable of executing activities that require human intelligence, often referred to as Artificial Intelligence (AI), are making their mark in all industrial territory lately. The fact that enormous data sets can be used to teach these AI systems to recognize patterns and make predictions accordingly, is highly advantageous adding the agility of the present humanized systems at work. In recent times, it has been noted that artificial intelligence and machine learning technology have reshaped the healthcare sector as well. AI has the potential to transform the healthcare industry by increasing efficiency, lowering costs, and improving the prognosis for patients. Integrating AI in healthcare presents a few hurdles, of which the two most important are meeting compliance requirements and resolving issues of confidence with machine learning outcomes. Despite these obstacles, introducing machine learning, artificial intelligence and other technologies to the healthcare business has resulted in various benefits for both healthcare organizations and the patients they serve. Both machine learning and AI have shown an array of advantages in the healthcare industry by optimizing processes and assisting with routine chores, as well as assisting users in promptly finding solutions to critical concerns, enabling improved services for patients as well as consumers. Most healthcare providers are offering user-driven experiences and increasing operational efficiency in making the best possible use of collected data, assets, and resources by evaluating data trends, enhancing coherence and improving the accomplishments of clinical and operational procedures. Yet, even after exiting a major part of two decades in the medical industry, insufficient information exists about consumer perceptions towards AI in medical treatments and procedures. Our study is aimed at learning consumers’ apprehensiveness to embrace AI-assisted healthcare in both tangible and hypothetical choices, be it independent or collaborative evaluations.