Blockchain in Healthcare Today <p><strong>Blockchain in Healthcare Today (BHTY)</strong> is the leading international open access journal that amplifies and disseminates distributed ledger technology research and innovations in the healthcare information systems, clinical computing, network technologies and biomedical sciences. Fields of interest include leveraging data science tools and techniques, health information systems interoperability, consent mechanisms, privacy preservation, <span style="color: #000000;">security of health data,</span> clinical support and clinical trials management, supply chain management, revenue cycle automation, immersive technologies, DAOs, tokenomics, and failed experiments in this specialty field of research.</p> <p>The preeminent international journal is published on a continuous basis to accelerate sharing rigorously vetted theoretical and experiential knowledge required for a global multi-disciplinary ecosystem. A world-class peer review board includes constructive commentary to strengthen work.</p> Partners in Digital Health, 241 Hamilton Avenue, Suite 21 Stamford, CT 06902, USA en-US Blockchain in Healthcare Today 2573-8240 <p><span style="color: #4b7d92;">Auth</span><span style="color: #4b7d92;">ors retain copyright of their work, with first publication rights granted to Blockchain in Healthcare Today (BHTY). Read the full <a href="">Copyright Statement</a>.</span></p> <p> </p> <p> </p> GAHBT: Genetic Based Hashing Algorithm for Managing and Validating Health Data Integrity in Blockchain Technology <p>This research work proposes a method for managing, securing, and validating the health data distribution records using a genetic-based hashing algorithm in a decentralized environment. The reason behind choosing blockchain is to secure the transaction of health data and protect the data from manipulated fraudulent movement and corruption by the contributor of the chain or any individual. The path of this technology approach provides an efficient surveillance measure such as transparency of record, fraud immunity, and protection to tempering and sustaining the order of data. In medical research, this paper provides a genetic-based hashing algorithm for data security which has lower computational complexity, low space coverage, higher security and integrity, and a high avalanche effect. The simulation will show data records' validity, immunity, and integrity. The technique modified in this secure decentralized network is a cryptographic hashing algorithm for 512 bits. In this study genetic algorithm is used to generate a key that needs to be used in the encryption and decryption of medical data. A genetic algorithm is a metaheuristic approach that is inspired by the laws of genetics and is generally used to generate high-quality solutions for complex problems. Applications of genetic algorithms encourage the significance in many medical fields such as radiology, oncology, cardiology, endocrinology, surgery, oncology, and radiotherapy in health care management.</p> Fozia Hanif Urooj Waheed Rehan Shams Aisha Shareef Copyright (c) 2023 Fozia Hanif, Urooj Waheed, Rehan Shams, Aisha Shareef 2023-02-07 2023-02-07 6 2 10.30953/bhty.v6.244 Blockchain in Healthcare: 2023 Predictions from Around the Globe <p>While the past 50 years have been categorized as the Information or Digital Age, the mass amounts of digitized data has been sorely underutilized. It was only recently through the COVID-19 pandemic that accelerated efforts were sought to harness this data with the use of blockchain technology in healthcare. Through the infrastructure and its tokenization applications, we can now effectively leverage healthcare data into more efficient business processes, secure better patient engagement and outcomes all while generating new revenue streams for an array of healthcare stakeholders. It is in compiling this stockpiled data into new, compliant business models and utilizing blockchain technology that we can reap the full potential of this era. Here are some predictions as to how we might set about these efforts in 2023.&nbsp;</p> Talisha Shine, MBA, CBE Jane Thomason, PhD, Msc. Imtiaz Khan, PhD Mohamed Maher, MBA Kohei Kurihara Copyright (c) 2023 Talisha Shine, MBA, CBE, Jane Thomason, PhD, Msc., Imtiaz Khan, PhD , Mohamed Maher, MBA , Kohei Kurihara 2023-01-31 2023-01-31 6 2 10.30953/bhty.v6.245