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In the health field, it is not exaggerated saying that sharing information can save lives. The possibility of accessing at time the patient's complete and updated medical record or a base of clinical or pharmacological knowledge can mark the difference between life and death.
However the clinical information is usually expressed in the professional's ambiguous and own terminology and dispersed through information silos that cover several fields of health care (outpatients' departments, health care centres, hospitals…) and disciplines (pathology, cardiology…)
The medical information systems must be able to share, integrate and communicate complex medical concepts without being ambiguous, including when expressed in different languages (local as well as international ones). Obviously this is a difficult task that requires a profound analysis of the clinical and medical information's structure and meaning. Among the health care specific challenges you can find:
Integration of the patient's Electronic Healthcare Record (EHR) through different systems, technologies and formats (e.g.: CEN, OpenEHR, HL7)
Sharing and retrieval of medical, clinical and pharmacological knowledge and information that increase the quality of the diagnosis and processing
Optimization of manual processes that are prone to mistakes
Vigilance from the environment for the health care crisis detection and the response in front of emergencies
All this with the special requirements that these contexts impose concerning information security and confidentiality (e.g.: anonymization of personal data)
The Daedalus linguistic and semantic technologies can help share and exploit more efficiently this vital medical information:
The processing of natural language makes it possible to carry out an automatic processing of clinical notes and files taking into account the specific characteristics of this type of information (use of abbreviations, specific terminology, etc.).
The entities extraction and automatic aggregation make it possible to structure and cluster the information according to the concepts it processes.
The ontologies and taxonomies (specific to medicine as well as customized ones) make it possible to classify any type of contents and allow an easy navigation and sharing of the information.
The advanced search (with semantic, multimedia and multilingual capacities) makes it possible to retrieve any type of information easily and closely to the user.
The semantic mediation allows a significant exchange of clinical information between health care departments and organizations.
Thanks to the application of the Daedalus solutions for health care, professionals, patients and agents can benefit from the following advantages:
It increases the interoperation and integration of medical information independently of its format and language.
It improves the diagnosis reliability, providing correlations in real time of the symptoms, results of the analysis and individual medical files.
It provides semantic criteria to carry out different analysis and statistic aggregations with various objectives.
Daedalus researches into the development of consultation systems on clinical and medical reports as well as scientific literature, by processing texts written in natural language, in order to identify entities (diseases, symptoms, organs, treatments) and relations between them, in order to make the search for medical information easier.