In this blog post, we have discussed the advantages of the integration of blockchain technology and machine learning and how it can have an impact on health management, enjoy your reading!
Blockchain and Machine Learning Shape the Future of Health Management
Hello everyone,
One of the most exciting developments in healthcare technology in recent days is the integration of blockchain technology and machine learning to securely store patient records and make disease predictions. In this post, I will discuss the advantages of this innovative application and how it can have an impact on health management, enjoy your reading!
According to the 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Sciences, the new application ensures the global integrity, accessibility and confidentiality of patient data by using blockchain as an incorruptible digital ledger. Patient health information is stored securely, protected against theft or unauthorized access. This ensures the security and confidentiality of patient data. In addition, the app eliminates geographical boundaries by enabling verified healthcare professionals around the world to seamlessly access patient information.
This secure infrastructure provided by blockchain also facilitates the implementation of governance principles in the management of health data. Governance principles such as transparency and accountability increase user confidence in how patient data is stored and shared. This makes interactions between healthcare providers and patients more reliable. With blockchain, there is always a way to track who is accessing health data and what they are using it for.
Machine learning integration further enhances the capabilities of this application. This technology, which enables personalized and proactive medical interventions, can predict diseases by analyzing health data. Thus, it improves patient care with early interventions. Supported by security metrics such as accuracy, false acceptance rate, false rejection rate and recognition rate, this system provides a secure platform for the exchange of patient data.
Compared to state-of-the-art approaches, the performance and results of this system are impressive. In summary, the integration of blockchain and machine learning could be a major milestone in healthcare management and data security.
Ultimately, the combination of blockchain technology and machine learning has the potential to transform healthcare. These developments offer secure, accessible and effective solutions in healthcare management, providing great convenience for both patients and healthcare professionals.
We will follow together how the health systems of the future will be shaped; we wish you all a healthy and happy week!
Eylem Sezgin - Biomedical Engineer
