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When

On-Demand

 

Abstract

Appropriate reimbursement, patient care, and quality outcomes are based on complete operative reports that capture fully specified procedures and diagnoses. Existing surgical documentation workflows do not provide the logic necessary to meet the latest documentation requirements and require time-consuming retrospective reviews and approvals, wasting precious surgeon time. Artificial Intelligence (AI) tools are becoming widely used to document complete operative reports that meet the latest documentation requirements immediately after surgery, ensuring that care teams, coders, and other key documentation stakeholders have complete and accurate information immediately without adding time for the surgeon. This process has tremendous benefits to patient care, accurate and appropriate coding, wRVU capture, reimbursement, and quality metrics.

 

Learning objectives:

  • Identify the market and regulatory factors increasing the pressure on surgeons to deliver accurate, timely documentation
  • Integrate AI documentation tools in the EHR to improve surgeon workflow, realize more accurate reimbursement, and better relect patient care
  • Highlight use case on the integration of the solution to improve documentation in surgical procedure notes and operative reports

 

Speakers

Prof. Shafi Ahmed, Colorectal Surgeon, The Royal London and St. Bartholomew’s Hospitals

Dr. Lucian Newman, III, General Surgeon, and Nuance CMIO

Alexis May, Content Director, AIMed

 

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