Healthcare Systems and Health Informatics: Using Internet of Things

Artificial Intelligence and Smart Computing play a crucial role in health informatics and healthcare, focusing on clinical data management and analysis for precise prediction and prompt action. Wearable sensors and IoT devices enable tracking, monitoring, real-time assistance, and security in healthcare. IoT in smart living assistance and energy conservation is also discussed. A system mode and architecture provide a clear picture of IoT in healthcare, while challenges and opportunities include threats, impacts, and the need for information security.

Format: Hardback
Length: 249 pages
Publication date: 21 February 2022
Publisher: Taylor & Francis Ltd

The integration of artificial intelligence (AI) and smart computing technologies is revolutionizing the field of health informatics and healthcare, with a particular focus on clinical data management and analysis for precise prediction and prompt action. This comprehensive exploration delves into the transformative impact of AI and smart computing on various aspects of healthcare, including clinical data management, disease diagnosis, treatment planning, and patient care.

One of the key areas of AI and smart computing in health informatics is clinical data management. By leveraging advanced technologies such as machine learning, natural language processing, and big data analytics, healthcare professionals can efficiently and accurately analyze large volumes of medical records, patient data, and clinical outcomes. This analysis enables healthcare providers to identify patterns, trends, and correlations that can lead to more effective treatments, improved patient outcomes, and cost savings.

Another important application of AI and smart computing in healthcare is disease diagnosis. AI algorithms can analyze medical images, such as X-rays, CT scans, and MRI scans, with remarkable accuracy and speed. This enables healthcare providers to diagnose diseases earlier, which can lead to more timely and effective treatments. For example, AI-powered diagnostic tools can help identify cancerous tumors, heart disease, and neurological disorders, allowing for early intervention and better patient outcomes.

In addition to disease diagnosis, AI and smart computing are also being used in treatment planning and patient care. By analyzing patient data and clinical outcomes, AI algorithms can personalize treatment plans for individual patients, taking into account their medical history, genetic makeup, and other factors. This personalized approach can improve treatment efficacy and reduce the risk of side effects. For example, AI-powered treatment algorithms can recommend the most appropriate medication dosages, treatment schedules, and rehabilitation programs for patients based on their specific needs.

Furthermore, AI and smart computing are playing a crucial role in healthcare monitoring and real-time assistance. Wearable sensors and IoT devices are enabling healthcare professionals to track patients' vital signs, monitor their physical activity, and collect data on their health status. This real-time data collection allows healthcare providers to identify potential health risks and intervene promptly. For example, wearable sensors can monitor patients with chronic conditions, such as diabetes or heart disease, and alert healthcare providers if there are any changes in their health status.

In conclusion, the integration of artificial intelligence and smart computing technologies is transforming the field of health informatics and healthcare. By leveraging advanced technologies such as clinical data management, disease diagnosis, treatment planning, and patient care, healthcare professionals can improve patient outcomes, reduce costs, and enhance the overall quality of healthcare services. As AI and smart computing technologies continue to evolve, they will undoubtedly play an increasingly important role in shaping the future of healthcare.

Weight: 538g
Dimension: 159 x 241 x 23 (mm)
ISBN-13: 9780367703943