CogStack retrieves and extracts information from both structured and unstructured health data and utilises embedded analytics and visualisation technologies to assist in unlocking the untapped value of data from routine clinical care.
Data housed within electronic medical records (EMRs) are often incomplete, contain large quantities of unstructured data stored in proprietary systems and are in different formats (heterogeneity of data sources).
The challenge is most of the information is written in a form which is difficult to retrieve, analyse and learn from. Hence, the wealth of information potentially available within electronic heath records is often inaccessible and underused.
CogStack (Figure 1) applies natural language processing (NLP) and artificial intelligence (AI) technology that allows extraction of information regardless of the format, whether it’s structured information or unstructured within a scanned document or image (e.g. PDFs, free text documents).