Arkhn allows hospitals to make the most of their data using the open standard
It builds unified and secure databases located in the hospital.
Standardised databases allow hospitals to quickly deal with developpers capable of building new, specialised micro-services. It fosters competition as well as the emergence of cheaper solutions.
Our structure frees hospitals : it is now simple to add or replace functionnalities. All services can run independantly from one another.
Standardisation is the first step towards using Machine Learning and Artificial Intelligence. It is then possible to speed up or automate a great load of tasks from medical and administrative teams, saving them some valuable time.
Most of the current solutions are not GDPR compliant. In particular, they do not support systematic deletion or exporting of personal data. Our integration system unifies databases and implements such necessary operations.
Our architecture allows to securely share data with other medical teams. Patients can have their data available in different hospitals, which allows to provide better and more efficient treatment.
Since our solution is deployed inside the hospital, they can choose freely what use is made of the data and who can access it.
Arkhn standardises pre-existing database.
In clear, we format information coming from various databases into our database.
We then give secure access to this data within the hospital through our API1.
This allows to develop semi-connectors2 openly ans collectively, enabling to share standard and unified data between applications.
Our API moreover handles connection and authentification to the database.
In particular, our solution enables :
New tools to access integrated data in a secure way
Sharing information between medical teams - and hospitals - in a simple and secure way
Training statistical models to improve healthcare
1Application Programming Interface : here used to indicate a set of secure methods
used to query and handle integrated data (for instance, search patients by name).
2Semi-connector : a piece of software which allows to import and export data from a given database
Machine Learning NLP Web Development
École Normale Supérieure
Project Management Public Law Political Science
Sciences Po Paris
Deep Learning Data Analyst Privacy in Big Data NLP
Imperial College London
Machine Learning Statistics Deep Learning
Ecole Centrale Paris
Pneumology Medical informatics Web Development
Université Victor Segalen (Bordeaux II)
Statistical Physic Research Computer modelling
PhD - ECOLE NORMALE SUPERIEURE ULM
ECOLE NORMALE SUPERIEURE LYON
+33 6 37 09 56 20
contact [at] arkhn [dot] org
9 rue d'Alexandrie,