Blockchain in Healthcare Today

GAHBT: Genetic Based Hashing Algorithm for Managing and Validating Health Data Integrity in Blockchain Technology

2022-12-14T14:39:10-08:00

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.

Accelerating the Worldwide Adoption of Blockchain Technology

2023-08-17T18:13:10-07:00

“To understand innovation you should ask "why not?" and not "why?" Selling (blockchain) is a problem and people and companies are blocking adoption which prevents innovation within a company, and stymies costs savings and efficientcy - that is the problem. It's a problem to be stuck in an innovation department - blockchain needs to be used in operations. Scientists and technologists need to understand one another better to create opportunity and success" - Raja Sharif, CEO, ATMPS

In 2022, the team at ATMPS launched a potential game changer with a new approach to cell and gene therapy tracking, allowing more streamlined applications, payment options, and opportunity to realize true manufacturing safety and trust at scale, faster for personalized medicines and regimen treatments. The speaker highlights his experiences, and overcomes market challenges empasizing the need for better commercialization strategies for blockchain. In addition, the fllowing topics are addressed in the keynote:

Automated Processes
Regulatory Visibility & Compliance, FDA 21 CFR , HIPAA, GDPR
Putting Together Blockchain Architecture for IRTS & ERH Integration
Patient Apps and Mobile Device Issues
Supply Chain

Blockchain in Healthcare: 2023 Predictions from Around the Globe

2022-12-12T09:13:37-08:00

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.

Problems with Medical Claims that Artificial Intelligence (AI) and Blockchain Can Fix

2023-05-28T23:43:51-07:00

In medical insurance, there are both valid and legitimate claims that should be covered by the insurer and fraudulent or inappropriate claims that should not be paid. Problems arise in scenarios when valid claims are not paid and when fraudulent or inappropriate claims are paid. Hospitals and insurers play critical roles in these cases. Artificial Intelligence (AI) and blockchain technologies can play significant roles in addressing the problems associated with medical insurance claims. Some of the ways in which these technologies can help are using AI algorithms to analyze data stored on the blockchain for fraud detection, and leveraging blockchain's transparency to improve the accuracy of AI models by providing access to a larger dataset. The author addresses approaches for each senario.