APPLYING AI FOR TIMELY INPUT TO A SMART HEALTHCARE SYSTEM

Abstract

Smart healthcare systems play a vital role in people's everyday lives and hence, healthcare systems are expected to continue to improve and advance. AI and IoT techniques are employed in the prescription of medicine and in setting the different actions and procedures that need to be followed by patients by the health service providers. These technologies, along with ML algorithms, form a reliable and concrete platform because of their high processing performance. Meanwhile, it is important to maintain accurate input data for these new technologies to ensure that they will give us the desired output at the right time. In the healthcare industry, the most popular means to ensure the correctness of input data is to collect them through surveys and questionnaires that are completed by field specialists. In this paper, we report on the results of a questionnaire that was used in Egypt to collect the needed input data for our intended emergency healthcare system. Our aim is to offer the on-site emergency physicians a simple yet smart tool. This tool should speed up the process by which they can view historical data saved on the Cloud and ultimately determine the best procedures required for treating any emergency case patient timely. The novelty of our research lies in the use the applicable AI algorithms for healthcare within our tool at various levels to speed up the process of saving the life of an emergency case by displaying the appropriate data required for each physician specialization-based on our collected questionnaire.