IoT and AI in Healthcare Management: A Review of Technologies, Challenges, and Future Trends

The history of the technologies breakthrough in the field of the Internet of Things (IoT) and Artificial Intelligence (AI) has assisted in the provision of various areas of life, and healthcare control can hardly be considered an exception to the rule. This technology has been creeping into the health systems and the scenario is currently augmenting the innovations in the health systems that will eventually benefit the patients with convenience in the operations and even minimisation of the cost incurred during the operations. The present paper will conduct a thorough research of the IoT and AI integration in terms of healthcare management; the essential technologies, applications, and challenges, as well the opportunities will be found. The potential to measure health in real time has emerged due to the new technology e.g. wearables and sensors and the rationale behind the AI algorithms has been transferred to diagnosis phase, treatment-planning and decision-aiding factors. The review finds the following way how such technologies can be applied to medical care in order to maximize the number of favourable outcomes such as early detection of a disease, personalized care, and prediction in hospital management. The paper will also be written in a format that captures all the issues that are raised whenever one uses IoT and AI in medical care like data security, data privacy and acceptance by the system and the laws. Finally, the paper gives the future trends of the smart healthcare solution implementation, and artificial intelligence and internet of things implications to health care systems transformation and supporting patients with improved outcomes around the world.