Sustainability in Healthcare: mHealth, AI, and Robotics

Sustainability in Healthcare: Advances in mHealth AI and Robotics explores sustainable methods in healthcare, including rural and community healthcare improvement, robotics, additive manufacturing, mobile health, biomedical engineering, and telemedicine, with ethical concerns, environmental, social, and economic implications.

Format: Hardback
Length: 315 pages
Publication date: 05 August 2024
Publisher: De Gruyter

Sustainability in Healthcare: Advances in mHealth AI and Robotics is a comprehensive exploration of sustainable methods in the healthcare industry, with a particular focus on rural and community healthcare improvement, the use of robots for sustainability, and the implementation of AI in healthcare. It delves into various aspects such as additive manufacturing, mobile health, biomedical engineering, and telemedicine, and their role in healthcare sustainability management. The book also addresses the ethical concerns, environmental, social, and economic implications of sustainability in healthcare supply chain management and pandemic management.

One of the key areas of focus in sustainability in healthcare is rural and community healthcare improvement. Rural and community healthcare systems face unique challenges, including limited resources, poor infrastructure, and a lack of access to healthcare services. mHealth AI and robotics can play a significant role in addressing these challenges by providing remote healthcare services, improving access to medical information, and reducing the burden on healthcare providers.

Robots can be used for sustainability in healthcare in several ways. For example, they can be used to automate routine tasks such as cleaning, sterilization, and medication delivery, which can reduce the workload of healthcare providers and improve efficiency. Robots can also be used to provide remote healthcare services to patients in remote areas, which can reduce the need for travel and improve access to care.

AI in healthcare can also play a significant role in sustainability. AI can be used to analyze data and identify patterns that can help improve healthcare outcomes. For example, AI can be used to predict patient outcomes, identify potential health risks, and develop personalized treatment plans. AI can also be used to optimize healthcare supply chain management, which can reduce waste and improve efficiency.

However, the implementation of AI in healthcare also raises ethical concerns. For example, there are concerns about the use of AI in healthcare to make decisions that could impact patient lives. There are also concerns about the potential for AI to be used for surveillance or discrimination.

Environmental, social, and economic implications of sustainability in healthcare supply chain management and pandemic management are also significant. For example, the use of single-use medical devices can contribute to waste and pollution, and the production of medical equipment can require significant amounts of energy and resources. Pandemics can also have a significant impact on healthcare supply chain management and can lead to shortages of medical equipment and supplies.

To address these challenges, there are several strategies that can be implemented. One of the most important strategies is to promote sustainable practices in healthcare. This can include reducing waste, improving energy efficiency, and promoting the use of renewable energy sources. Healthcare providers can also work to improve their supply chain management by reducing the number of suppliers and improving the quality of their products.

In addition, governments can play a significant role in promoting sustainability in healthcare. Governments can provide funding for research and development of sustainable technologies, and can implement policies that promote sustainable practices in healthcare. Governments can also work to reduce the impact of pandemics on healthcare supply chain management by providing funding for research and development of vaccines and treatments.

In conclusion, sustainability in healthcare is a critical issue that requires a comprehensive approach. mHealth AI and robotics can play a significant role in addressing these challenges by providing remote healthcare services, improving access to medical information, and reducing the burden on healthcare providers. AI can also be used to analyze data and identify patterns that can help improve healthcare outcomes. However, the implementation of AI in healthcare also raises ethical concerns, and environmental, social, and economic implications of sustainability in healthcare supply chain management and pandemic management are also significant. To address these challenges, there are several strategies that can be implemented, including promoting sustainable practices in healthcare, improving supply chain management, and providing funding for research and development of sustainable technologies.

Weight: 664g
Dimension: 245 x 177 x 23 (mm)
ISBN-13: 9783111436357