hChain 3.0: Leveraging Blockchain for Personalized Patient Assessments and Improved Medication Adherence in Chronic Care Management

Chronic disease patients require ongoing observation, even if not physically in healthcare facilities. Each patient, even with the same condition, may have a unique health profile, necessitating personalized assessments for accurate and effective care. Emerging technology such as the Internet of Medical Things (IoMT) could help with remote patient real-time monitoring, utilizing a deep learning model for personalized patient assessment to enhance patient quality of life and support healthcare provider decision-making. However, IoMT devices are resource-constrained, which makes them vulnerable to several attacks that could provide false data, raising life-threatening risks to the patient. To address these issues, the proposed hChain 3.0 system leverages blockchain technology to overcome IoMT vulnerabilities and the limitations of centralized healthcare systems, such as single points of failure (SPoF). It provides a decentralized, secure data infrastructure to ensure data integrity and immutability. In addition, smart contracts enable secure electronic healthcare records (EHR) management and automates manual processes, while cloud computing is utilized to enhance the framework's scalability. Moreover, it presents effective detection of heart rhythm abnormalities in electrocardiogram (ECG) signals via an accurate Long Short-Term Memory (LSTM) model.