The Future of Healthcare and Patient-Centric Care

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 240 - 262

Опубликована: Фев. 14, 2024

The future of healthcare is a dynamic landscape characterized by rapid advancements, evolving patient needs, and transformative technologies. This chapter explores key trends predictions shaping the industry. It covers integration AI, telemedicine, genomics, empowerment. These shifts promise ecosystem that more efficient, accessible, personalized than ever before. However, they also present challenges, including data privacy, ethical considerations, equitable access. Navigating this will require thoughtful balance innovation practice, ensuring benefits all segments society. aims to equip stakeholders with insights strategies navigate complex landscape, advocating for prioritizes patient-centricity while embracing technological progress in way inclusive beneficial all.

Язык: Английский

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Leveraging Ethical Standards in Artificial Intelligence Technologies

Advances in medical education, research, and ethics (AMERE) book series, Год журнала: 2023, Номер unknown, С. 310 - 330

Опубликована: Март 13, 2023

Artificial intelligence (AI) is revolutionizing the field of education by providing new opportunities for online learning. However, as with any technology, there are ethical considerations that must be considered to ensure AI-powered learning applications safe and improve student outcomes. This chapter explored implications AI in proposed best practices development applications. Specifically, it looked at how leverage values Namibian training sector while focusing on various instructional technologies. Ethical aspects related technologies, management systems, interactive whiteboards, digital games, augmented virtual realities, gamification, mobile environments were discussed. As technologies become more prevalent landscape, students teachers understand responsible technology works decisions made.

Язык: Английский

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Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

AIMS Public Health, Год журнала: 2024, Номер 11(1), С. 58 - 109

Опубликована: Янв. 1, 2024

<abstract> <p>In recent years, machine learning (ML) and deep (DL) have been the leading approaches to solving various challenges, such as disease predictions, drug discovery, medical image analysis, etc., in intelligent healthcare applications. Further, given current progress fields of ML DL, there exists promising potential for both provide support realm healthcare. This study offered an exhaustive survey on DL system, concentrating vital state art features, integration benefits, applications, prospects future guidelines. To conduct research, we found most prominent journal conference databases using distinct keywords discover scholarly consequences. First, furnished along with cutting-edge ML-DL-based analysis smart a compendious manner. Next, integrated advancement services including ML-healthcare, DL-healthcare, ML-DL-healthcare. We then DL-based applications industry. Eventually, emphasized research disputes recommendations further studies based our observations.</p> </abstract>

Язык: Английский

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Technoethical Considerations for Advancing Health Literacy and Medical Practice

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Фев. 14, 2024

The integration of cutting-edge technologies into health literacy and medical practice presents unprecedented opportunities ethical challenges. This chapter delves the technoethical considerations crucial for navigating this new landscape, guided by a posthumanist framework. Embracing framework encourages us to reevaluate traditional boundaries, inviting more inclusive understanding humanity's relationship with technology. also explores intricate between technology ethics, advocating that ensures technological advancements in healthcare are employed ethically, responsibly, deep their societal impact. By doing so, serves as guiding beacon professionals, technologists, ethicists, policymakers, urging future where human values coalesce foster ecosystem is not only advanced but compassionate, equitable, ethically grounded.

Язык: Английский

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Effective Integration of Artificial Intelligence in Medical Education

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Фев. 9, 2024

With the increasing popularity of artificial intelligence (AI) applications in medical practices, integration AI technologies into education has garnered significant attention. However, there exists a noticeable research gap when it comes to providing comprehensive guidelines and recommendations for its successful this domain. Addressing is crucial as responsible effective incorporation not only ensures that current future healthcare professionals are well-prepared demands modern medicine but also upholds ethical standards, maximizes potential benefits AI, minimizes risks. The objective chapter fill by offering practical tips actionable insights incorporating education, encompassing practical, ethical, pedagogical, professional implications. Consequently, equips educators learners alike with knowledge tools necessary navigate evolving landscape age AI.

Язык: Английский

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Beyond Textbooks and Standard Practices

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 20 - 46

Опубликована: Фев. 14, 2024

This chapter examines the concept of mental health literacy (MHL) and its pivotal role in promoting well-being global agendas. MHL, rooted recognition, understanding, management disorders, has emerged as a critical component fostering individual community resilience. The delves into transformative potential digital tools enhancing MHL through innovative education approaches, focusing on platforms, mobile apps, virtual reality, artificial intelligence, gamified learning to disseminate personalized information efficiently, transcending barriers time stigma. comprehensively explores state-of-the-art integration not only healthcare professionals training curricula but also populations. Through some examples real case study, effectiveness different interventions is highlighted, culminating practical recommendations for seamlessly incorporating initiatives.

Язык: Английский

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Digital Transformation in Healthcare and Medical Practices

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 176 - 197

Опубликована: Фев. 14, 2024

The evolution of technologies in the healthcare sector has revolutionized health landscape, from expansion telemedicine to vital role social networks. authors delve into how technology redefines healthcare, promoting efficient communication and empowering both patients professionals. They offer a comprehensive captivating insight interaction between digital era. analyze challenges faced by opportunities presented age. Through systematic review literature recent years, obtain results that clarify current landscape professionals make use these tools provide. These findings insights is reshaping presenting can guide future innovations policymaking this rapidly evolving sector.

Язык: Английский

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Harnessing an AI-Driven Analytics Model to Optimize Training and Treatment in Physical Education for Sports Injury Prevention

Опубликована: Июнь 22, 2024

Язык: Английский

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Emerging Trends in Ultrasound Education and Healthcare Clinical Applications

Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 263 - 287

Опубликована: Фев. 14, 2024

In this chapter, the authors explore transformation of ultrasound training in digital era higher education. As landscape redefines access to information and learning modalities, chapter critically examines integration innovative tools The focus on leveraging technologies like extended realities simulations, alongside practicality mobile applications, enhance experience. underscores importance evolving educational systems actively engage students these advanced frameworks. It aims stimulate a comprehensive discussion effectively incorporating at undergraduate level, evaluating their impact student outcomes, preparing future healthcare professionals for technology-driven medical landscape. This review offers forward-looking perspective integrating cutting-edge education, signifying shift towards more interactive, immersive, effective experiences.

Язык: Английский

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Visual Analysis of Cardiac Arrest Prediction Using Machine Learning Algorithms

Advances in medical education, research, and ethics (AMERE) book series, Год журнала: 2023, Номер unknown, С. 331 - 363

Опубликована: Март 13, 2023

A visual analysis may accurately predict cardiac arrest, making it a potent educational tool for raising public awareness of health issues. By predicting arrest earlier, preventative steps can be taken to save lives, and the dissemination such knowledge dramatically lower world mortality rate. heart attack, also known as encompasses various heart-related disorders has been leading cause death worldwide in recent decades. Several medical data mining machine learning technologies are being applied gather helpful regarding disease prediction. The accuracy intended outcomes, however, is insufficient. This chapter aims likelihood patients having solve issue. Specifically, compared alternative models identification appropriately categorize forecast attack instances with compact features. use ensemble algorithms over classifier gives maximum 96.5%, which examined this investigation.

Язык: Английский

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