It takes 17 years on average to bring new medical treatments ideas into evidence-based clinical practice. The growing replicability crisis in science further delays these "new miracles." Blockchain can improve science and accelerate medical research while bringing a new layer of trust to healthcare. This book is about science, its value to medicine, and how we can use blockchain to improve the quality and impact of both. The book looks at science and medicine from an insider's perspective and describes the processes, successes, shortcomings and opportunities in an accessible way for a broad audience. It weaves this a non-technical look at the emerging world of blockchain technology; what it is, where it is useful, and how it can improve science and medicine. It lays out a roadmap for this application to transform how we develop knowledge about health and medicine to improve our lives. In the first part, Blockchain isn't Tech, the authors look at blockchain/distributed ledger technology along with critical trade-offs and current explorations of its utility. They give an overview of use cases for the technology across industries, including finance, manufacturing and healthcare, with interviews and insights from leaders across government, academia, and tech/health industry both big and start-up. In the second part, Science is Easy, the authors look at science as a process and how this drives advancement in medicine. They shed a light on some of science's shortcomings, including the reproducibility crisis and problems with misaligned incentives (i.e. publish or perish). They apply a breakdown of critical components to the functional steps in the scientific process and outline how the open science movement is looking to improve these, while highlighting the limit of these fixes with current technology, incentives and structure of science. In the third part, DAO of Science, the authors look at how blockchain applied to open science can impact medical research. They examine how this distributed approach can provide better quality science, value-based research and faster medical miracles. Finally, they provide a vision of the future of distributed medical research and give a roadmap of steps to get there.

Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results.

It takes 17 years on average to bring new medical treatments ideas into evidence-based clinical practice. The growing replicability crisis in science further delays these "new miracles." Blockchain can improve science and accelerate medical research while bringing a new layer of trust to healthcare. This book is about science, its value to medicine, and how we can use blockchain to improve the quality and impact of both. The book looks at science and medicine from an insider’s perspective and describes the processes, successes, shortcomings and opportunities in an accessible way for a broad audience. It weaves this a non-technical look at the emerging world of blockchain technology; what it is, where it is useful, and how it can improve science and medicine. It lays out a roadmap for this application to transform how we develop knowledge about health and medicine to improve our lives. In the first part, Blockchain isn’t Tech, the authors look at blockchain/distributed ledger technology along with critical trade-offs and current explorations of its utility. They give an overview of use cases for the technology across industries, including finance, manufacturing and healthcare, with interviews and insights from leaders across government, academia, and tech/health industry both big and start-up. In the second part, Science is Easy, the authors look at science as a process and how this drives advancement in medicine. They shed a light on some of science’s shortcomings, including the reproducibility crisis and problems with misaligned incentives (i.e. publish or perish). They apply a breakdown of critical components to the functional steps in the scientific process and outline how the open science movement is looking to improve these, while highlighting the limit of these fixes with current technology, incentives and structure of science. In the third part, DAO of Science, the authors look at how blockchain applied to open science can impact medical research. They examine how this distributed approach can provide better quality science, value-based research and faster medical miracles. Finally, they provide a vision of the future of distributed medical research and give a roadmap of steps to get there.

This book aims to highlight the gaps and the transparency issues in the clinical research and trials processes and how there is a lack of information flowing back to researchers and patients involved in those trials. Lack of data transparency is an underlying theme within the clinical research world and causes issues of corruption, fraud, errors and a problem of reproducibility. Blockchain can prove to be a method to ensure a much more joined up and integrated approach to data sharing and improving patient outcomes. Surveys undertaken by creditable organisations in the healthcare industry are analysed in this book that show strong support for using blockchain technology regarding strengthening data security, interoperability and a range of beneficial use cases where mostly all respondents of the surveys believe blockchain will be important for the future of the healthcare industry. Another aspect considered in the book is the coming surge of healthcare wearables using Internet of Things (IoT) and the prediction that the current capacity of centralised networks will not cope with the demands of data storage. The benefits are great for clinical research, but will add more pressure to the transparency of clinical trials and how this is managed unless a secure mechanism like, blockchain is used.

This book aims to highlight the gaps and the transparency issues in the clinical research and trials processes and how there is a lack of information flowing back to researchers and patients involved in those trials. Lack of data transparency is an underlying theme within the clinical research world and causes issues of corruption, fraud, errors and a problem of reproducibility. Blockchain can prove to be a method to ensure a much more joined up and integrated approach to data sharing and improving patient outcomes. Surveys undertaken by creditable organisations in the healthcare industry are analysed in this book that show strong support for using blockchain technology regarding strengthening data security, interoperability and a range of beneficial use cases where mostly all respondents of the surveys believe blockchain will be important for the future of the healthcare industry. Another aspect considered in the book is the coming surge of healthcare wearables using Internet of Things (IoT) and the prediction that the current capacity of centralised networks will not cope with the demands of data storage. The benefits are great for clinical research, but will add more pressure to the transparency of clinical trials and how this is managed unless a secure mechanism like, blockchain is used.

A timely, authoritative discussion of an important clincial topic, this useful book outlines the history, function, nature and requirements of informed consent, focusing on patient autonomy as central to the concept. Primarily a philosophical analysis, the book also covers legal aspects, with chapters on disclosure, comprehension, and competence.

Health information about any patent is extremely critical. As there are many malicious users and misuses of health data, this information is not shared amongst health organizations due to security and privacy issues. Blockchain is being explored as a platform for securely exchanging healthcare data among the organizations in public domains, allowing doctors and practitioners to have access to more comprehensive health histories and in turn provide better care to patients. Prospects of Blockchain Technology for Accelerating Scientific Advancement in Healthcare disseminates the recent research findings on blockchain in healthcare and reviews current state-of-the-art blockchain applications in healthcare. This book also discusses various challenges faced by the healthcare community in securing healthcare data. Covering topics such as consensus mechanisms, smart healthcare systems, and supply chain management, it serves as an essential resource for healthcare professionals, computer scientists, information security professionals, data scientists, policymakers, researchers, and academicians.