We use a multi-faceted approach to identify applicable information and automate data collection.
We use techniques such as syntactic and semantic feature extraction, context analysis and pattern-matching to extract meaning and relevance from written text.
We continuously research and use state-of-the-art techniques to increase our knowledge, hone our algorithms and automate the improvement of our processes.
We deliver concise information to better inform decision-making processes.
Discover-Analyze-Report-Learn is the methodology Seeker uses to turn accessible healthcare information into useful knowledge. The result is better outcomes for patients. READ MORE
Surgical Site Surveillance Software
Affinity3S automates the collection and reporting of surgical site infections post-discharge, improving communication between patients and healthcare providers.READ MORE