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CEA Tech Hauts-de-France

Alicante joins forces with CEA to improve its expertise in artificial intelligence

Alicante, publisher of hospital data-based software , and CEA have joined forces to improve the company’s positioning in artificial intelligence. Alicante will use CEA's Expressif tool to optimize its Inquia platform service offer dedicated to healthcare institutions, clinical research facilities (including pharmaceutical laboratories), the health insurance sector and veterinary services. It will be possible to offer practitioners personalized care for their patients as part of healthcare delivery, even for complex cases.

Published on 16 April 2018

​By going beyond intuition and human analytical capabilities as well as those of traditional information management software tools, the "intelligent" processing of big data produced in many business sectors is a widely recognized opportunity for creating value.

Pioneer in the use of artificial intelligence (AI) for healthcare data, Alicante has been building new predictive indicators based on actual customer data and maintaining them over time for nearly 20 years.

With 500 healthcare sites using its expertise and 25 million patient files analyzed, Alicante is developing its R&D potential in artificial intelligence to bring the best algorithms to companies in other sectors seeking to organize their rich, heterogeneous and difficult-to-master data in a useful way.

Alicante's Inquia AI platform

Inquia includes the following modules:

  • Inquia-Lex: Semantic analysis
  • Inquia-Profile: Profile generation, learning, classification, prediction
  • Inquia-Biclust: Unsupervised groupings, big data, prediction
  • Inquia-Group: Supervised multi-criteria groupings

The use of these modules on routine hospital data has already proven its effectiveness for healthcare services, hospitals and research departments, and contributes greatly to improving patient service.

Many applications report a significant return on investment: time saving for health care providers, an improvement in the quality of computerized patient records due error detection, and real-time detection of patients at high risk (such as for infection) or who could be included in clinical trials. In addition to real added value, the return on financial investment amounts to several million euros each year in some institutions and clinic groups.

Fine tuning decision support for professionals

With the new Inquia-LF module, Alicante continues to develop its IA Inquia platform with CEA-LIST's teams. Able to perform subtle tasks taking into account many parameters, CEA LIST's Expressif software will be integrated into Alicante's products to further increase the relevance and effectiveness of decision support tools in healthcare as well as other fields.

"Mastering data, its use and security is at the heart of the concerns of the CEA-List teams," explains Philippe Watteau, Director of CEA-List. "Our partnership with Alicante illustrates the growing contribution of AI to health, patient and practitioner service."
"By deploying Expressif, our solutions will be able to acquire more detailed knowledge, assist human decision-making processes and justify these decisions in order to ensure appropriate patient follow-up and facilitate relations between patients and healthcare providers. For example, particularly with patients suffering from multiple and complex pathologies, it will be possible to offer institutions and practitioners optimized healthcare delivery by bringing the patient's clinical situation closer to all available medical knowledge," explains David Delerue, Alicante CEO.

Alicante's software suite (ScanSIH, DIMBox, eLUCID, Opcyclin, and Phygie) will then benefit from capabilities that are unique to the market such as advanced knowledge management, flexibility and scalability of the decision support system while taking into account observation uncertainty.


Developed by the teams of CEA-LIST, a CEA Tech institute, Expressif is an expert system or decision support system that models human reasoning. Expressif combines the use of different formal procedures to assess the facts in a nuanced way. When assessing the situation, the rules are no longer either true or false, but more or less verified, and action that is more appropriate to the situation is suggested. These systems are capable of capitalizing on human expertise and this process can be a direct expression of knowledge or the result of learning algorithms capable of finding expert knowledge in data sets.

Current hospital and institutional partners

The Hospital Group of the Catholic Institute of Lille (GHICL) and Valenciennes Hospital Center are forerunners in the integration of artificial intelligence into their hospital IT tools and will play a major role in this Alicante-CEA collaboration thanks to their expertise in model design and validation.

Supported by the Hauts-de-France region, BPI and the Lille metropolitan authority, the collaboration is in the development phase and will be completed in late 2018.

(c) peshkova – Fotolia

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