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Enhance partnerships
Analyze unstructured and semistructured data
Identify risky behaviors
Determine promising public health interventions
Automate systematic data reviews and analyses
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)