The increasing older population, as well as their desire to live independently, even if they have medical conditions connected to their age, necessitates the development of innovative technology to provide maximum improvement of quality for this age group. Increasing the aged population’s well-being and quality of life is strongly linked to helping people efficiently manage age-related diseases such as chronic illnesses, as well as maintaining their freedom and self to the greatest extent feasible. This paper presents analyzed technologies used in remote health monitoring systems, especially for diabetics and heart disease, elderly people. In the field of health and disease prediction, numerous methodologies are used. These are Machine learning (ML), cloud computing, Internet of Things (IoT),), big data and), artificial intelligence (AI). Furthermore, the data for a research paper is collected from forty five previously published studies from respectable articles. A systematic review approach is also used in the paper. Moreover, the study was driven by the Internet of Things (IoT) technology, which is commonly employed in remote healthcare. With the help of IoT technology, health metrics may be wirelessly monitored, which reduces unwanted hospital visits and the related expenses of care. we will be able to employ IoT for remote monitoring of old people in the future.