The Newest Tech for Your Practice | August 2021-Approaching Automation of Data Collection and Data Analysis

Approaching Automation of Data Collection and Data Analysis

Video Transcription

Video Summary

In this video, the speaker discusses the challenges and methods of collecting endoscopy quality metrics. They mention the use of manual chart review, data registries, data warehouses, natural language processing (NLP), and artificial intelligence (AI) as potential solutions. The speaker emphasizes the importance of accurate definitions and denominator calculations when measuring quality metrics. They also discuss the limitations of outcome metrics and the need for risk adjustment and benchmarking. The speaker suggests that watching procedure videos and utilizing AI can help improve quality measurement. They conclude by stating that the future of quality metrics lies in automated methods, such as AI, which can alleviate the burden of manual data collection.

Asset Subtitle

Rajesh Keswani, MD, MS

Keywords

endoscopy quality metrics

manual chart review

data registries

natural language processing

artificial intelligence

outcome metrics

automated methods