Data Ownership

MedicoHealth AG

Doctor-patient environment based on blockchain

See Project Documentation

Project location:

Slovenia

Team:

more than 20

What is the solution you are building and how is it addressing the problem?

An anti-doping system requires a decentralized database which can protect data security, data integrity and data immutability.

The blockchain is already able to ensure solutions on the level of sample collection protocol integrity and as well on the level of results immutability and security.

The blockchain could represent the missing link to secure athletes’ medical records, the interconnections between actors in the Olympic community and to guarantee prosecution in the fight against doping and to safeguard clean sports.

Our project is to use the experience of Medichealth and its partners in healthcare and apply the OT protocol to the existing anti-doping system, vastly improving their purpose.

Considering the high number of users who are granted access to the system, it must be recognized that the barriers opposing external intrusions should be strengthened.

The OT protocol would allow data interoperability (ADAMS) and transparency and immutability to become a reality.

The protocol has to be open source and used by many stakeholders to work.

Describe how the OriginTrail protocol fits in with your solution architecture?

OriginTrail perfectly fits as an additional layer that is fully compatible with the existing system:
edition.cnn.com/2012/08/01/sport/olympics-london-2012-drugs-wada/index.html

The anti-doping system requires a decentralized database which can protect data security, data integrity and data immutability. The blockchain is already able to ensure solutions on the level of sample collection protocol integrity and as well on the level of results immutability and security. The blockchain could represent the missing link to securing athletes’ medical records, the interconnections between actors in the Olympic community and to guarantee prosecution in the fight against doping and to safeguard clean sports.

What are your relevant previous achievements?

Medical data was successfully managed through ETH Swarm and OpenEHR platform.

PDF: api-swarm.datafund.io/api/File

JSON: api-swarm.datafund.io/api/File

Describe your previous experience with the OriginTrail protocol.

No working projects, but serious work on the implementation of OT protocol for different aspects of IT in healthcare.

Describe the problem you are solving.

Doping control has to perform in a very complex environment with constant challenges posed to its methods, protocols, results, immutability and integrity. It involves the interrelated medical, legal, political, moral, ethical and organizational challenges.

A total of 229,514 samples were collected by ADOs in 2016, analysed by WADA-accredited Laboratories and reported in ADAMS (Anti-Doping Administration and Management System).

Key fields:
Complex landscape
Data privacy and integrity
Doping control process integrity and immutability
Data security breaches

By applying the OT protocol to existing anti-doping systems, we address key challenges connected to data and process integrity, immutability and security.

How do you plan to scale your idea?

A scalability bottleneck would be at the OT protocol level. Future scaling would include broad use in healthcare, including traceability of all lab results.

Why should OriginTrail and our community choose your idea amongst others?

It is a great bridge to healthcare, as we are addressing the part of clinical data that crucially needs traceability. Proving usability in a closed environment would allow for faster expansion to mainstream use.