The book "Algoritmi" explores the application of technologies such as big data analytics and artificial intelligence, particularly within the healthcare industry. It emphasizes the need for new approaches and reliable enabling technologies to improve overall quality of life and foster a healthier, innovative, and secure society. The central argument revolves around ensuring these advanced technologies are utilized to their utmost potential and appropriately applied to advance societal well-being. The book considers various applications, challenges, and issues related to big data and artificial intelligence in healthcare, covering topics like electronic health records, machine learning, and e-health.
This reference work is designed for a broad audience, including healthcare professionals, computer scientists, data analysts, researchers, practitioners, scholars, academicians, instructors, and students seeking to understand or contribute to the evolving landscape of technology in healthcare. It provides insights into innovative solutions and emerging topics, making it ideal for those interested in the practical application and societal impact of big data and AI for enhancing quality of life. The book, published by authors associated with the Centro ALGORITMI at Universidade do Minho, Portugal, contributes to the field of Computers.
Key concepts
- Big Data Analytics — The application of big data to develop innovative solutions and enhance quality of life within the healthcare industry.
- Artificial Intelligence — Exploration of AI technologies, their applications, challenges, and issues specifically for improving healthcare outcomes and societal well-being.
- Healthcare Technology Innovation — Focus on developing new approaches and reliable technologies to foster a healthier, innovative, and secure society.
- Electronic Health Records — A key area of technological application within healthcare discussed, highlighting data management and utilization.
- Machine Learning — A specific AI technique addressed, demonstrating its role in advancing healthcare solutions and research.
- E-health — Covers the broader concept of utilizing information and communication technologies for health services and information.
Popular questions readers ask
- Given the ambition to "enhance our overall quality of life and lead to a healthier, innovative, and secure society," what distinct capabilities do Big Data Analytics and Artificial Intelligence *specifically* offer that other healthcare innovations might not, to achieve these grand objectives?
- The text stresses the need to ensure these technologies are "utilized to their utmost potential and appropriately applied." What concrete "challenges and issues" (as mentioned) could arise that might *prevent* their appropriate application or hinder their potential in healthcare, and how might stakeholders begin to anticipate or mitigate them?
- Consider the diverse audience for this work: from "healthcare professionals" to "computer scientists" and "data analysts." How might their *primary concerns* or *interpretations* of "enhancing our quality of life" through BDA and AI differ, and what implications might these differing perspectives have for successful implementation?
- If you had to explain to a non-expert how *one* of the mentioned specific topics (like "electronic health records" or "machine learning") leverages Big Data Analytics or AI to improve a tangible aspect of healthcare, how would you articulate it simply and clearly, avoiding jargon?
- Beyond the stated benefits, what potential *unintended consequences* or *new ethical dilemmas* might the widespread and "appropriate" application of Big Data Analytics and Artificial Intelligence introduce into the healthcare industry, particularly concerning patient autonomy or equity?