Gastroenterology & Artificial Intelligence: 3rd Annual Global Artificial Intelligence Summit | September 2021-Opportunity to Redefine Quality Metrics in Endoscopy Using AI

Video Transcription

Video Summary

In this video, the moderators introduce the session on how to use artificial intelligence (AI) in daily medical practice. Dr. Sarvanti Parisa, a gastroenterologist at the Swedish Medical Center, is the first speaker. She discusses the importance of quality metrics in healthcare and how they can help improve patient care. She explains the three main types of quality measures: structural, process, and outcome measures. Dr. Parisa also highlights the current challenges in measuring quality in endoscopy, such as feasibility, data burden, and unintended consequences. She then presents examples of how AI can be used to automate quality measures, including an AI-based program for colonoscopy and a navigation system to assess mucosal inspection. She also discusses the use of optical character recognition and natural language processing for colonoscopy quality metrics. Finally, she mentions a software called WISE Sense that automates picture documentation and identifies blind spots in upper GI endoscopy. Overall, the use of AI in quality metrics can standardize measurements and remove subjectivity in medical practice.

Asset Subtitle

Sravanthi Parasa, MD

Keywords

artificial intelligence

medical practice

quality metrics

gastroenterology

endoscopy