Blockchain-Driven Healthcare Transformation: Securing Data Integrity and Enhancing Analytics for Improved Patient Outcomes

Authors: Shubham, Dr. Gurvinder Singh, Dr. Sunita, Neha Rani

DOI: https://doi.org/10.37082/IJIRMPS.v12.i5.231093

Short DOI: https://doi.org/gwfv4w

Country: India

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Abstract: This paper explores the integration of blockchain technology and predictive analytics in healthcare to enhance patient outcomes and streamline medical processes. Blockchain provides a secure, immutable, and transparent ledger for health records, ensuring data integrity and patient privacy. By leveraging machine learning algorithms, we can predict health trends and potential outbreaks, personalize treatment plans, and improve resource allocation. The combination of these technologies offers a robust framework for real-time health monitoring and proactive healthcare management. Case studies demonstrate significant improvements in early disease detection and patient compliance. This synergy not only fosters trust among stakeholders but also paves the way for a more efficient and resilient healthcare system.

Keywords: Blockchain, Predictive analytics, healthcare, Machine learning, Data security

Paper Id: 231093

Published On: 2024-09-12

Published In: Volume 12, Issue 5, September-October 2024

Cite This: Blockchain-Driven Healthcare Transformation: Securing Data Integrity and Enhancing Analytics for Improved Patient Outcomes - Shubham, Dr. Gurvinder Singh, Dr. Sunita, Neha Rani - IJIRMPS Volume 12, Issue 5, September-October 2024. DOI 10.37082/IJIRMPS.v12.i5.231093

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