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

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

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

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)