I managed Chart Assist, an AI-enabled clinical documentation improvement tool designed to reduce provider burden and improve the accuracy of documentation at the point of care.

• Users: Clinicians, coding specialists, and CDI teams.

• Use Cases: Identifying documentation gaps, suggesting improvements, and ensuring accurate coding and reimbursement.

• Value I Brought:

  • Partnered with engineering and fellow product owners to define and deliver enhancements.

  • Connected Chart Assist outputs to downstream workflows in CDI and HIM.

  • Ensured the product aligned with clinician workflows, improving adoption and usability.

I supported Virtual Scribe, a product aimed at using NLP and automation to reduce the time clinicians spent on documentation.

• Value I Brought:

  • Guided improvements in transcription workflows to align with clinician needs.

  • Partnered with engineering to integrate NLP models that increased accuracy.

  • Helped position Virtual Scribe as part of Cerner’s broader strategy to reduce documentation time.

I oversaw the Health Concepts Service, which extracted concepts from clinical documentation across sections such as allergies, labs, procedures, medications, and family history.

• Users: Clinical and downstream product teams.

• Use Cases: Identifying and normalizing concepts to support clinical decision support, analytics, and interoperability.

• Value I Brought:

  • Collaborated with engineering and product teams to ensure comprehensive concept coverage.

  • Defined mapping and validation workflows to improve data quality.

  • Strengthened downstream product capabilities through more accurate NLP concept extraction.

I contributed to multiple internal tools that supported NLP and terminology workflows:

• DML Tool (Mapping and Validation): Ensured accurate mapping of proprietary concepts to standard terminologies.

• Cerner Namespace Browser: Managed namespace IDs when codes were not available in SNOMED.

• NLP Rules and Intent Accuracy Tools: Improved NLP by testing intent recognition rules and validation accuracy.

• Calibration Application: Streamlined annotation review, document validation, and concept accuracy testing.

• Cerner NLP Demo and NLP Services Demo: Designed product demos to highlight NLP capabilities for internal and external stakeholders.

I led initiatives to manage Cerner’s NLP products, aligning them with evolving clinical and technical requirements.

• Value I Brought:

  • Created end-to-end workflow processes for terminology and NLP teams.

  • Developed documentation and best practices for adding to dictionaries, creating value sets, and testing intent rules.

  • Improved consistency and efficiency across NLP-driven products.