Journal of Health & Medical Informatics

Healthcare could significantly benefit from improved communication; It is possible that patients who are better informed are more likely to participate in the management of their health conditions, make better decisions based on their knowledge, and ultimately contribute to improved quality of care. The use of pictures enhances knowledge, understanding, and recall, according to a recent systematic review and meta-analysis of the effects of using visual aids to convey health information on patient and consumer health behaviors and outcomes. Numerous clinical trials have demonstrated the efficacy of visual aid-based interventions designed to enhance patient comprehension and education regarding surgical procedures and the management of chronic diseases.

Many nations aim to use information technology (IT) in healthcare research and practice. IT capabilities have advanced dramatically over the past fifty years. New and beneficial applications of IT in the medical field have been made possible by a number of developments. Software, computer science, medicine, information science, statistics, cognitive sciences, and mathematics all come together in the interdisciplinary field of medical informatics (MI). Using concepts, tools, methods, software techniques, and modelling, this field aims to reduce healthcare costs while also reducing care errors. Dental informatics (DI) can be thought of as a subfield of medical informatics (MI); Consequently, MI has some impact on DI's development. In spite of the similarities that exist between DI and MI in medical research, it is essential to carry out distinct studies that are solely devoted to DI. In the relatively new field of DI, information science and computer applications can enhance dental research, practice, management, and education. The utilization of processing in dentistry is just a single part of DI. The first practitioners of DI referred to their strategy as the application of information science to medical problems. MI has been described as a cascade from analysis to effect in more recent studies.