Abstract
Since the emergence of artificial intelligence (AI), the healthcare sector has experienced a transformative shift towards a new paradigm of distributed healthcare systems. AI is incorporating its significant potential to redefine the healthcare space by ensuring the accessibility, efficiency, and personalization of healthcare services around the globe. This research study investigates the multifaceted role of AI in revolutionizing distributed healthcare systems. We primarily focus on the substantial capabilities of AI to process vast amounts of health data, diagnostic accuracy, and its models to facilitate telehealth monitoring services. Along with this, the research environs the endless scope of AI in conducting predictive analytics on healthcare data to forecast the probability of future diseases in targeted populations. Moving forward, the characteristics of AI for efficient distributed resource management, tailored treatment, and remote healthcare management are explored as well. Moreover, the research also discusses AI recommendations regarding better healthcare practices for healthcare professionals and policymakers. Additionally, the research shed light on the current challenges in implementing AI techniques in traditional healthcare frameworks with useful insights to address these concerns. Artificial Intelligence (AI) has introduced a transformative paradigm for distributed healthcare networks, enabling global accessibility, personalization, and efficiency in healthcare services. This research explores AI's multifaceted role in revolutionizing distributed healthcare systems, focusing on its capabilities in processing large-scale health data, enhancing diagnostic accuracy, and facilitating telehealth monitoring services. AI's potential for predictive analytics is highlighted, offering insights into forecasting disease probabilities in targeted populations. The study also examines AI's contributions to distributed resource management, personalized treatments, and remote healthcare delivery. Furthermore, it provides actionable recommendations for healthcare professionals and policymakers to adopt AI-driven practices effectively. Addressing the challenges of implementing AI within traditional healthcare frameworks, this research offers solutions to integrate AI seamlessly into distributed healthcare networks.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence-Based Smart Healthcare Systems |
| Subtitle of host publication | New Standards, Technologies, and Communication Systems |
| Publisher | Elsevier |
| Pages | 97-118 |
| Number of pages | 22 |
| ISBN (Electronic) | 9780443264764 |
| ISBN (Print) | 9780443264771 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
Keywords
- Analytics in healthcare
- Artificial intelligence in healthcare
- Distributed healthcare networks
- Predictive remote healthcare management
- Telehealth monitoring