Expensive market-leading software has left many providers using manual, error-prone tools to complete mission-critical coding and auditing work.
Specialists have to comb through complex clinical documentation to identify relevant information, map key clinical events, and appropriately code diagnoses and procedures, causing significant time constraints and pressure.
Compromised Revenue Integrity
Coding and documentation errors cost health providers millions and threaten revenue cycle integrity.
Decreased Operational Efficiency
Low capacity leads to backlogs, significant overtime, and attrition for specialist employees.
Inability to Utilize Data for AI
Low-quality clinical and coded data cannot be easily used to power further analytics, like population health management and decision support.
A unified platform to transform coding and auditing
Semantic Health has worked with stakeholders across North America to develop and deploy a proprietary clinical AI engine that unifies coding and auditing workflows with AI powered insights. With our platform, healthcare providers improve coding and auditing processes by automatically assigning medical codes based on clinical evidence, identifying data quality deficiencies, and generating a longitudinal patient narrative.
Semantic Health improves critical medical coding and auditing processes to make unstructured healthcare data more actionable across the organization. This actionable data layer powers various solutions across the provider ecosystem that improve operational efficiencies, care delivery, and population health management.