Foreword

The Electronic Health Record (EHR) of a patient is a digitized document of their health history, progression comments, symptoms, and medications. Concerns about security abound, as they do with any online digital media. In the healthcare industry, the reliance on digital devices such as IoT, generates a massive volume of patient medical data. These EHR data statistics are confidential and cannot be made public. Medical data tampering can place a person's life in danger. Because of this, EHR information is subject to severe security and privacy risks. The high prevalence of health digital platforms presents a need for a more secure EHR system enabled by blockchain. Blockchain-based technologies have been proven and approved for delivering reliable and secure decentralised solutions to address the security and privacy threats associated with EHR data. Moreover, decentralized blockchain technology is unalterable. Preserving secrecy may allow for a more effective conversation between the physician and the patient, which is crucial for providing high-quality care. It also provides doctors, patients, and insurance providers an efficient way to obtain medical information while maintaining the privacy of the patient's data. The blockchain-based architecture provides the following features: privacy, authenticity, integrity, interoperability, and accountability of electronic health records between two entities. This book covers some state-of-the-art research associated with artificial intelligence, big data, and blockchain for smart health care development. It explains the fusion between the privacy and security of a blockchain-based data analytic environment. The book provides the fundamental framework, research insights, and empirical evidence for the efficacy of these new technologies, employing practical and basic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.