What is it about?

This research focuses on how artificial intelligence (AI) and distributed web systems can improve healthcare by enhancing medical efficiency, supporting personalized patient care, and fostering better collaboration between healthcare providers. It highlights how these technologies address challenges like rising costs and staff shortages while improving data privacy and empowering patients to control their medical information. The study also emphasizes how decentralized systems can accelerate medical discoveries and make clinical trials more efficient.

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Why is it important?

This research is important because it addresses critical challenges in healthcare, such as rising costs, shortages of medical professionals, and inefficient data sharing. By integrating artificial intelligence (AI) and distributed web systems, healthcare providers can deliver faster, more accurate diagnoses, offer personalized treatment plans, and improve patient data privacy. This approach also empowers patients to control their medical information and accelerates medical discoveries and clinical trials, leading to better patient outcomes and more efficient healthcare systems worldwide.

Perspectives

The research offers several promising perspectives for the future of healthcare: Enhanced Personalized Care: By using AI and distributed web systems, medical professionals can deliver more tailored treatments based on patients' unique health data, improving patient outcomes and satisfaction. Improved Data Privacy and Security: Decentralized systems reduce the risk of data breaches by eliminating single points of failure, giving patients greater control over their sensitive medical information. Faster Medical Discoveries: Collaborative platforms powered by distributed web systems can accelerate clinical trials and medical research by facilitating secure and efficient data sharing across institutions. Cost Reduction and Operational Efficiency: By streamlining communication and data exchange between healthcare providers, these technologies can lower operational costs and address the shortage of medical personnel. Scalability and Accessibility: Distributed infrastructures can support healthcare delivery in remote or underserved areas, ensuring broader access to advanced medical care and innovative treatments. Future Innovation: This integration paves the way for continuous advancements, fostering new technologies and methodologies to further enhance patient care and medical efficiency.

Marian Ileana
Universitatea Politehnica din Bucuresti

Read the Original

This page is a summary of: Elevating Medical Efficiency and Personalized Care Through the Integration of Artificial Intelligence and Distributed Web Systems, January 2024, Springer Science + Business Media,
DOI: 10.1007/978-3-031-63031-6_1.
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