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A Clinical Decision Support System (CDSS) incorporating a novel algorithm-based approach for text mining of the patient narrative for identifying and classifying patient allergies (to automatically flag/alarm when patient allergies are serious and requires further attention from physicians). Utilizing Anzyz’ proprietary AI-algorithm CCL™, the product leverages unsupervised and supervised machine learning combined with rule-based algorithms for clinical concept-based search.
Explore your data
Explore your case by searching for single words or phrases. The results are ranked according to relevance while highlights provide for quick identification of key elements. Label documents by importance and download directly from your dataset.
Concept-based search
Concept-based search provides deeper insights into the data being reviewed, helping lawyers to identify trends and patterns that may be relevant to the case. Our product allows lawyers create their own concepts from scratch without any technical expertise.
Visualize
Create a timeline to visualize trends and occurrences and explore when a concept, or combination of concepts, appear in the data.
Access data
Quickly access all original documents, files and emails from your combined concept searches. Tag for relevance, filter, and share within your team.