develop your own website



On-prem or in the cloud


Open Source and using standards


Big data and third party algorithms


Via HTML5 browser, in any device

Cloud Security

Automatically protects PHI in the cloud


Dashboards and Natural Language Processing


From Telemedicine to Multidisciplinary Teams

Kanteron Systems Platform can enhance your current PACS-VNA-EHR system with modules that allow:


Any information that can be used to identify an individual, which personally relates to their past, present, or future health is considered Protected/Personal Health Information (PHI). This information must be encrypted by law in basically every country in the world, and must be stored only in encrypted form, and transmitted only through secure means.

However, PHI can be anonymized such that it is no longer considered “protected”, and can therefore be released without harm. You can anonymize such data by removing all 18 HIPAA identifiers. Nevertheless, that poses a challenge by and in itself: how can you manage PHI in a clinical system (PACS, RIS, EHR, HIS, LIS, DPS, etc) if you anonymize it so completely?

Kanteron Systems has developed a full system, completely compatible with all existing systems in the market today, that separates or “splits” the PHI from the heavier-larger footprint and file size of data such as image (like multimodal radiology or digital pathology) and genomics data. This allows healthcare delivery organizations to keep PHI in an on-site light database, while being able to upload/download the larger files (ranging from Megabytes to Gigabytes to even Petabytes each) to a hosted or managed solution.

Basically: Kanteron Systems PHI-cloud “SPLIT” module allows healthcare institutions to finally safely and securely use the cloud without having to worry about PHI.


Dashboard – Visualize:

  • System usage (disks, networks, modalities, users, productivity, waiting times, read/unread reports…)
  • Patient demographics (for treatment followup, candidates for clinical trials, research, etc)
  • Structured metadata
  • Report unstructured clinical data

Dashboard – System:

  • Completely configurable
  • Easy to use interface
  • Compare several parameters
  • Web based
  • Real-time or scheduled reports (sent automatically)
  • PDF or XLS formats

NLP (Natural Language Processing) for use in clinical records for syntactic annotation, named entity recognition, mapping text to concepts from an ontology, and identification of negation context of named entities. It tackles the challenge of recognizing mentions specific lesions in reports, extracting relationships, and associating the extracted information with the respective lesions.


Kanteron’s collaboration module adds the possibility of live-collaboration with (multiple) colleagues with:

  • Screen-sharing
  • Audio chat
  • Text chat
  • Videochat

While it works anywhere within Kanteron Systems’ Platform, providing a practical solution for TeleMedicine, it is particularly useful for digital pathology (which according to some studies require consultation or second opinion in 70% of the cases), and genomics.



Help us bring Precision Medicine to the Point of Care


  • Kanteron Systems S.L.U. registered in 2005, Valencia (Spain) CIF VAT Reg. Num.: ES-B97632400
  • Kanteron Systems USA, Inc. registered in 2011, New York, NY (USA)
  • Kanteron Systems UK, Ltd. registered 2015, in London (UK) Companies House 09777052 | VATReg.: GB-227298682 | DUNS: 22-112-0341