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Contact Info
198 West 21th Street, Suite 721
New York, NY 10010
youremail@yourdomain.com
+88 (0) 101 0000 000
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Security. Our priority.

Encryption and Security Technologies for Healthcare

Data encryption

Data encryption and de-identification protocol.

All Security Technologies: SSL,...

Your data is stored in your country.

Protected and Interoperability protocol

Control you data

Simple management of the electronic health record.

FIDO Authentication

FIDO Key Authentication Compatibility

 

Interoperability: the key to an effective health system

We develop solutions with the aim of ensuring interoperability between healthcare systems and our online platform. Our platform follows the international recommendations in terms of FAIR health system interoperability. By supporting the standard data formats and protocols of existing healthcare technologies, we aim to simplify application development and device integration to accelerate digital transformation and enable real-time integration with healthcare networks.

 

FHIR & HL7v2

FHIR (Fast Healthcare Interoperability Resources) is the emerging standard for health data interoperability. Using REST APIs, FHIR specifies a robust and extensible data model for interaction with clinical resources. iAnesthesia can use or export data from other formats to FHIR resources to simplify their integration and use in research or machine learning tools. HL7v2 is an essential communication protocol for any application seeking to connect to existing clinical systems.

 

DICOM

DICOM is the established standard for storing and exchanging medical images and their metadata in a wide range of specialties including radiology, cardiology, ophthalmology and dermatology. Integration of imaging data is planned for the eventual centralization of patient health data.er these images. This will allow patients to intelligently and scalably store their medical imaging data and connect it to powerful analysis, diagnostic and machine learning tools.

 

Data under your control: encrypted servers & ISO 27001

Data localization is an essential component for practitioner and patient confidence. Security is based on a multi-layered approach using state-of-the-art features, including data loss prevention tools, robust identification management, encryption, etc…

 

 

Artificial Intelligence and Machine Learning

High quality and well-structured data allow the use of powerful neural network tools to allow fine analysis with the greatest simplicity. New perspectives of management according to the patient’s future can be drawn and modelled thanks to the most recent models (neural networks, A3C intuition, LSTM layers…).

 

 

FAIR Platform*

Our platform follows the international recommendations in terms of FAIR health system interoperability.

* Wilkinson MD, Dumontier M, Aalbersberg IjJ, Appleton G, Axton M, Baak A, et al.  The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 2016 Mar 15;3:160018.

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