{"product_id":"data-modelling-and-analytics-for-the-internet-of-medical-things-9781032414232","title":"Data Modelling and Analytics for the Internet of Medical Things","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe Internet of Medical Things (IoMT) is a rapidly evolving technology that connects smart medical devices to improve health outcomes. It discusses the integration of IoMT with Quantum and its use cases and applications, as well as methodologies, technologies, and solutions for big medical data analytics in healthcare systems. It also explores security and privacy issues that can be dealt with effectively. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 306 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 22 December 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThe Internet of Medical Things (IoMT) is a rapidly evolving technology that involves the integration of medical devices, sensors, and other technologies with the internet to enable remote monitoring, diagnosis, and treatment of patients. Smart medical devices, such as wearable health monitors and remote patient monitoring systems, are at the forefront of this technology, providing patients with real-time access to their health data and enabling healthcare providers to monitor and manage their patients more effectively.\u003cbr\u003e\u003cbr\u003eOne of the key applications of IoMT is in the field of telemedicine, where patients can receive medical care remotely through video consultations, phone calls, or other digital communication channels. This can be particularly useful for patients who live in remote areas or have mobility issues, as it allows them to access medical care without having to travel to a healthcare facility.\u003cbr\u003e\u003cbr\u003eAnother application of IoMT is in the field of precision medicine, where healthcare providers can use genetic information and other patient data to develop personalized treatment plans for each patient. This can lead to more effective and targeted treatments, which can improve patient outcomes and reduce the risk of side effects.\u003cbr\u003e\u003cbr\u003eIoMT also has the potential to improve healthcare efficiency by reducing the need for in-person visits and reducing the amount of time spent on administrative tasks. For example, wearable health monitors can collect patient data on a daily basis, allowing healthcare providers to monitor their patients remotely and intervene if necessary.\u003cbr\u003e\u003cbr\u003eHowever, there are also concerns about the security and privacy of IoMT. As medical devices become more connected to the internet, they become more vulnerable to cyberattacks and data breaches. There is also the risk of patients' personal data being used for commercial purposes or shared with third parties without their consent.\u003cbr\u003e\u003cbr\u003eTo address these concerns, there are several methodologies, technologies, and solutions being developed to implement IoMT effectively. One of these is the use of encryption and authentication technologies to ensure that patient data is secure and protected. Another is the development of privacy-preserving algorithms to ensure that patient data is not shared with third parties without their consent.\u003cbr\u003e\u003cbr\u003eIn conclusion, the Internet of Medical Things is a rapidly evolving technology that has the potential to revolutionize healthcare by providing patients with more effective and personalized care. However, there are also concerns about security and privacy that must be addressed to ensure that IoMT is implemented effectively and safely. By developing methodologies, technologies, and solutions to address these concerns, we can ensure that IoMT continues to grow and evolve in the years to come.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 770g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032414232\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44945535435002,"sku":"9781032414232","price":138.04,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1703873511353_book.jpg?v=1704018495","url":"https:\/\/shulphink.com\/products\/data-modelling-and-analytics-for-the-internet-of-medical-things-9781032414232","provider":"Shulph Ink","version":"1.0","type":"link"}