Cloud Computing Facilitating Data Storage, Collaboration, and Analysis in Global Healthcare Clinical Trials

Area of Science:

• * Cloud computing applications in healthcare research.
• * Digital transformation of clinical trial data management.

Background:

• * Cloud computing revolutionizes healthcare data management for clinical trials.
• * Provides scalable, secure, and cost-effective solutions for data storage and collaboration.
• * Addresses challenges in data integration, accessibility, and regulatory compliance.

Purpose of the Study:

• * To explore the impact of cloud computing on clinical trials.
• * To assess cloud platform features for data management and analytics.
• * To emphasize regulatory compliance (GDPR, HIPAA) in cloud-based healthcare data.

Main Methods:

• * Evaluation of cloud-enabled analytical tools, collaboration features, and storage capacity.
• * Assessment of adherence to data privacy regulations like GDPR and HIPAA.
• * Focus on secure management of sensitive healthcare data.

Main Results:

• * Cloud systems enable real-time data integration and sharing across multicenter trials.
• * Scalable storage reduces infrastructure costs while maintaining security.
• * AI/ML-driven analytics accelerate complex data interpretation and decision-making.
• * Improvements observed in patient recruitment and trial design flexibility.

Conclusions:

• * Cloud computing is indispensable for international clinical trials, offering efficiency in data analysis, communication, and storage.
• * It serves as a cornerstone of modern healthcare research, ensuring data security and regulatory adherence.
• * Future research should focus on refining cloud solutions for evolving clinical trial administration needs.