In this era of Big Data, supercomputing, advanced technology, extensive research, and seemingly non-ending pandemics like COVID-19, Health Informatics (HI) has the potential to minimize the data gap in public health between doctors, scientists, governments, and people. But the question is, "Are we making good use of these large untailored piles of data in the right way? Or, are the traditional computing tools and research procedures sufficient to analyze these data accurately?" These questions have only one answer: Artificial Intelligence (AI), an outstanding combination of computing power with human cognition capable of revolutionizing the healthcare industry[1]. HI is defined as an interdisciplinary study that uses Information Technology (IT) and Data Sciences (DS) in health science studies and practices[2]. But, in the real world, the applications of HI are just not limited to procurement, storage, and inspection of electronic health records (EHRs) only; it has more to offer.