HEALIS - Healthy Information Systems/Services

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MEDILIG

MEDILIG

Medical Life Guard is a multilingual Electronic Medical Record (EMR) cross-platform software with testing data that are encoded in popular health standards. Build easily catalogues, entry forms and reports

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TRIADB

TRIADB

TRIADB, a multi-perspective database framework based on our unique and valuable, associative, semiotic, hypergraph technology and implemented on top of popular DBMS. It is an add-on middleware with two parts. One part closely coupled with the physical layer of a data store and another one more generic, command line interface, closer to the application layer

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DBAPI

DBAPI

A functional RESTful HTTP API in Wolfram Language (Mathematica) for NoSQL databases such as multi-mode OrientDB database. The first implementation of TRIADB was based on DBAPI

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Overview

HEALIS is an international alliance of independent professionals and consultants in the emerging field of data science. From integration, to visualization, to analytics, HEALIS excels at promoting and following best practices that are based on innovative technological solutions. We form strong partnerships with vendors, resellers, contractors, integrators and developers; we offer excellent support, guidance, project management and educational services .

Aim

  • The primary aim is to assist any company, organization or individual to maximize the performance and quality of their IT services by offering consultation services and training on the use of next generation database technology and applications:

  • Secondary we promote collaborative activities among IT professionals and their customers to exchange, share and manage information resources.

Our Mantra

Build valuable relations; establish effective communications

© HEALIS - Athanassios I. Hatzis, March 2018

Activities

HEALIS has a broad spectrum of activities to achieve its goal such as :

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  • Posting and communication through social media channels and forums
  • Publications on journals and conferences
  • Promotion of open source software
  • Creation or contribution to common open data repositories
  • Seeking funding and sponsorship compatible with its aims
  • Participating or organizing workshops for advanced topics in data science