
Each Year, developed countries continue to spend a huge chunk of the GDP on healthcare. At the same time, hospital cost continues to increase; not to mention numerous malpractices and health data breaches that we have continued to experience.
Blockchain technology holds the potential to completely improve the situation by changing several sectors; from providing secure encryption of patient information to handling epidemics.
Advanced Medical Exchange is a forerunner in this field. They onboard you onto the Blockchain ecosystem where you authorize your own digital Identification made for you and by you. They provide you with medical services that have been sourced well and are free from harmful and genetic products. They have high integrity and years of medical experience.
You can fully trust them with your data; neither your privacy nor your identity will be stolen. They are partnering with CrowdPoint Technologies which is the biggest Blockchain privacy provider. In case you choose to share your identity, you will be paid for it.
Blockchain Applications in healthcare
- Research. Provides researchers with a wider variety of data from consenting individuals hence boosting R&D as well as public health reporting.
- Collaboration. Seamless switching of patients between providers who can easily unlock and share their details thus increasing collaboration and interoperability in healthcare.
- Efficiency. Blockchain provides faster, cheaper, and better patient care. Patient data is regularly updated to ensure faster diagnosis and limit mistakes.
- Data security. Data theft and hacks are greatly limited by decentralization and cryptography.
- Tracing and securing medical supplies. With Blockchain, you can track the trail of pharmaceutical supplies which will increase transparency and hold suppliers accountable.
- Health insurance claims. With Blockchain, data is easily retrievable thus countering fraud.
- Tracking diseases and outbreaks. The tech has a unique ability to allow real-time disease reporting and exploration of disease patterns. This is very helpful in identifying the origin and transmission parameters.