Extracting Insights from Search Logs with KConnect

We created an application that does search log analysis of search logs containing medical queries. The application uses the KConnect annotation service to annotate the queries, which allows the analysis to be done based on medical concepts as well as the actual terms typed in. For the examples below, we analysed an extract of the Trip…

KConnect for a Hungarian Medical Publisher

The primary purpose of NOTA is to provide a platform-independent unified medical search engine for the Hungarian medical community that makes it easy to find relevant subject matter. Its aim is to help healthcare professionals in clinical decision making at point of care (at a hospital, at a patient’s bedside, in a consulting room or…

Extracting meaning from medical records

At the end of last year, I presented a webinar to the American Medical Informatics Association on clinical text mining and text engineering – applying semantic annotation and text mining to medical records. There is a rapid growth in the extraction of meaning – or semantics – from medical records, and it exposes issues and…

A different approach to Healthcare Innovation

  What drives us?  KConnect multilingual medical information services and components have been developed to help the secure and safe flow of information through Healthcare. Key remains getting the right information, in a consumable format, to the right person at the right time – all designed in a way that can then lead to improved patient care & safety, while saving on…