transplantChain — Disrupting the current organ transplant system with blockchain.

Rethinking the traditional model of Organ Transplants to dramatically improve time, accountability and transparency.

Every ten minutes, someone is added to the national transplant waiting list. On average, 20 people die each day while waiting for a transplant. One organ donor can save eight lives. - United Network for Organ Sharing
Patients looking for transplants vs transplants performed.

Getting an organ transplant is one of the most stressful things someone can go through. Yet, during the course of receiving a transplant. Individuals face a range of issues, from both the lack of donations to the difficulty of matching donors.

In times of emergency when an organ is needed for transplant urgently, sometimes donors can’t be found and decisions can’t be made in time. A heart surgery requires a heart in 4 hours, this include the time it takes for a donor to be found and for a doctor to sign off on the transplant.

Besides just issues with wait times, the current transplant process is overall very ineffective. There are many people waiting for organs so approval times/protocol times can’t be significant, and there’s a huge lack of transparency in the system.

transplantChain is a medical supply-chain management tool, that tracks the protocols and signatures required for an organ transplantation. It uses blockchain technology to fix donor matching issues to make the process faster and more efficient.

The platform would allow hospitals to select organs within proximity and have them prepared to be transported. The platform would also provide detailed information and medical history on each organ. Allowing it to be tracked transparently and securely via one platform instead of multiple.

A few friends and I created a POC of what this platform would look like.

This dApp was built on Ethereum and has a few key elements built into it. Firstly a doctor has the ability to write down information and sign off using a private key. The doctor can enter patient data for a transplant, and enter the needed information to find a match. Once patient data is entered and signed off on, they are put on a transparent list and tested to see if a valid match exists.

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