Improving clinical documentation integrity (CDI) is a strategic necessity for healthcare organizations as it impacts far more than optimized claims processing: an accurate and complete clinical record supports patient care, quality outcomes, compliance, risk management, and revenue integrity. Additionally, driving clinically-focused CDI helps not only improve clinical documentation quality but also to get the complete medical picture of the patient, for better clinical outcomes.

Taking a closed-loop approach to CDI by leveraging advanced natural language understanding (NLU), healthcare organizations can effectively bridge workflow silos with shared clinical intelligence across front-end physician and back-end CDI processes. This enables them to meaningfully engage clinicians in the CDI process, prioritize and automate work for CDI specialists (CDIS), and improve overall clinical, financial, and operational outcomes.

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Clinical Documentation Improvement (CDI) Artificial Intelligence

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