Data Analytics
& Insights

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Enhance partnerships
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Analyze unstructured and semistructured data
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Identify risky behaviors
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Determine promising public health interventions
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Automate systematic data reviews and analyses
Speech Recognition
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Transcription of clinical notes for efficient EHR data entry
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Front-end speech recognition with back-end error detection and correction
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Deep learning algorithms in data mining applications

Automated Medical Coding
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Increased medical coder productivity without reducing quality with NLP-driven Computer-assisted Coding (CAC)
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Extract and interpret clinical data to suggest diagnosis, capture codes, and maximize claims

Clinical Documents
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Speech-to-text dictation and formulated data entry at the point of care
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Convert EHR data into structured, searchable content
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Pull pertinent data from other emerging sources
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Improved analytics to drive Population Health Management and Value-Based Care efforts

Data Mining Research
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Augment clinical decision-making and strengthen medical know-how via data mining integration
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Establish cyclic technology for knowledge discovery informing value-based business strategies
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Streamline regulatory reporting with value extraction and discretization (Automated Registry Reporting)
