Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology

Area of Science:

• Healthcare Informatics
• Data Science
• Medical Technology

Background:

• Big data analytics has become integral to medical research and clinical practice.
• Effective data organization and analysis are crucial for improving healthcare systems.
• Key goals include enhancing cost-benefit ratios, patient quality of life, and clinical outcomes.

Purpose of the Study:

• To present the current state of big data in healthcare, detailing its features and architecture.
• To explore the applications and mechanisms of big data integrated with blockchain and artificial intelligence.
• To identify potential new applications in medical education and digital anatomy.

Main Methods:

• Literature review of big data applications in healthcare.
• Analysis of architectural frameworks for big data in medical contexts.
• Examination of the integration of big data with blockchain and artificial intelligence technologies.

Main Results:

• Big data offers significant potential for revolutionizing the healthcare system.
• Integration with blockchain and AI presents both benefits and limitations.
• Emerging areas like medical education and digital anatomy show promise for big data utilization.

Conclusions:

• Healthcare systems can be significantly improved through strategic implementation of big data, blockchain, and AI.
• Encouraging involvement from healthcare professionals is vital for creating more efficient and effective systems.
• Further investigation into novel applications is recommended to maximize the impact of these technologies.