5. Smart IoT Treatment: Making Medical Care More Intelligent

The use of AI in healthcare sector is a huge transformation from traditional technologies to new AI technology with the use of complicated programming and software. It replaces human doctors in analyzing, interpreting complicated medical data. Different research works of recent past reveal that patient satisfaction is an important issue for any hospitals or clinic, particularly in healthcare sector where new technology like AI is also needed. This study aims at understanding patients’ satisfaction with the use of AI technology in hospitals in different parts of the world. From literature review, 28 components related to the use of AI in healthcare service have been determined. Data collection was done with the help of structured questionnaire across USA, Canada, Australia, UAE, and China. There were 249 respondents for this survey. Exploratory Factor Analysis (EFA) was initially performed to understand which factors contributed to patient satisfaction. This study found that patient satisfaction mainly depends on six broad dimensions, first factor is “Personal Touch,” second factor is “Comprehensive Gap,” third factor is “Answerability,” fourth factor is “Nerve Racking,” fifth factor is “Wrong Reporting,” and sixth factor is “Enlightened.” This study further helps in understanding patient’s satisfaction of using AI for medical purpose and treatment with the above-mentioned factors. It has emerged that the factors “Personal Touch” and “Enlightened” play a significant impact in determining patient satisfaction.