Patient Monitoring and Data Analytics with Fog Computing in Healthcare Iot

A substantial advancement in healthcare technological advances, particularly in the area of patient monitoring, has been made with the combined use of fog computing and IoT. This study examines how this combination may be transformative in order to improve the efficacy as well as the effectiveness of medical service delivery. Fog Computing lowers latency and enables immediate data processing, which is necessary for quick treatment. Fog Computing extends processing power to the outer edges of the network. This connection transforms monitoring procedures by providing healthcare providers with ongoing, contextually rich patient data. IoT-driven monitoring of patients further expands care beyond of conventional clinical settings by enabling continuous, individualized monitoring in homes of patients. This not only promotes patient involvement but also a feeling of empowerment as well as independence in managing their wellness. Despite the claims, problems with interoperability as well as data security continue to exist. This study offers helpful insights for applying these innovations in practical situations by objectively reviewing the benefits and drawbacks of merging fog computing and the internet of things in healthcare. This study seeks to provide thorough guidance on how to implement the technology of fog technology and IoT in healthcare using an interpretative lens, a method based on inference, and the use of a descriptive design alongside secondary data collecting. In the end, this integration aims to transform patient monitoring procedures and bring in a new era of individualized and preventive healthcare delivery.