Published Paper Details:

Smartwatches have become more popular in recent times due to their ability to track various health indicators, including heart rate, sleep patterns, and physical activity. The objective of this scoping review is to explore the use of smartwatches in the healthcare sector. A systematic search was conducted in PubMed/Medline, Scopus, Embassy, Web of Science, ERIC and Google Scholar, following the methodology of Arksey and O'Malley. It is seen that the use of smartwatches is effective in diagnosing the symptoms of various diseases. In particular, the smartwatch promises to detect early symptoms of heart disease, movement disorders and Covid-19. Nevertheless, it should be emphasized that there is an ongoing debate about the reliability of smartwatch diagnostics in the healthcare system. Despite the potential benefits of using smartwatches for disease detection, it is imperative to approach the interpretation of their data with caution. Inconsistencies between smartwatches and their algorithms have significant implications for healthcare use. The accuracy and reliability of the algorithm used is important, as well as the high accuracy in detecting changes in health status through smartwatches. This requires developing medical watches and creating AI-hospital assistants. These assistants will be designed to assist with patient monitoring, appointment scheduling, and medication management tasks. These can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.