Speech Recognition

• Transcription of clinical notes for efficient EHR data entry

• Front-end speech recognition with back-end error detection and correction

• Deep learning algorithms in data mining applications

Automated Medical Coding

• Increased medical coder productivity without reducing quality with NLP-driven Computer-assisted Coding (CAC)

• Extract and interpret clinical data to suggest diagnosis, capture codes, and maximize claims

Clinical Documents

• Speech-to-text dictation and formulated data entry at the point of care

• Convert EHR data into structured, searchable content

• Pull pertinent data from other emerging sources

• Improved analytics to drive Population Health Management and Value-Based Care efforts

Data Mining Research

• Augment clinical decision-making and strengthen medical know-how via data mining integration

• Establish cyclic technology for knowledge discovery informing value-based business strategies

• Streamline regulatory reporting with value extraction and discretization (Automated Registry Reporting)