Ensuring healthy living for ordinary people of all ages is essential. A Preventive care facility is mandatory for all human well-being, especially in rural areas. Technology advancements have given various openings for medical practitioners to predict and treat the disease effectively. The United Nations has identified some diseases under sustainable development to end the epidemics of certain diseases like tuberculosis, malaria, combat hepatitis, water-borne diseases, and other communicable diseases. Building medical infrastructure with connectivity across the country is always challenging to manage global health risks, particularly in developing countries. Industrial Internet of Things (IIoT) for Tuberculosis (TB) patient monitoring can significantly improve the management and treatment of TB cases. The proposed infrastructure model helps to improve communication between an ordinary man and medical practitioners for early warning, risk reduction, and management of global health risks. Heterogeneous devices are connected with solid internet connectivity, sensors, computing devices, and end-user applications. A continuous monitoring device allows for monitoring the patient’s health status remotely. IIoT-based health monitoring system uses sensors to gather real-time data and store it for further investigation. Location-based awareness application helps identify and group people with infectious diseases. Storage and computing services are provisioned with the help of Edge Computing facilities, and a Cloud service connects the user with the medical service provider. Between Edge and Cloud, a fog environment is constituted in the urban area to fasten the application processing. It helps to offload the applications and connects the patients with medical practitioners from different regions. A federated application running on the fog will automatically assist the user with disease prediction. As an initiative, to support the global end of tuberculosis disease, a real-time application has been developed to monitor TB patients, collect sputum, and provide an automated medicine supply. The sputum collector will submit the samples to the analyst after making an entry in the edge environment, and the analyst will confirm the disease status and update in the server available in the Fog Environment. Provisions are available for the clinician, analyst, patient, and local agent to access the report at their convenient location. A secured Authentication mechanism is devised to ensure the security of the data and maintain confidentiality, integrity, and availability of data by providing timely access to the right individual at the right times.