Each year, Federal agencies are required to obtain input on potential policy changes during a public comment review period. Timely identification of relevant comments is critical to maximize time for the government to review, consider, and respond to comments. How do you identify relevant comments in a timely manner to inform critical policy changes?
RTI resolved this issue by developing a data science tool and workflow—RTI SmartReview—that enables Federal agencies to quickly prioritize, review, and respond to public comments. RTI SmartReview uses an automated data pipeline, natural language processing, and machine learning to select relevant comments and integrate organized comment data into dashboards quickly, accurately, and automatically.
View the Slides
During the SmartReview webinar, attendees learned about:
- Applying advanced analytical methods to solve rulemaking problems and automate routine manual tasks.
- How RTI SmartReview assessed more than 30,000 public comments for the Medicare Shared Savings Program and identified relevant comments for consideration within two days of the comment period closing.
- The importance of human-centered design in effectively solving problems and identifying successful methods.
- The benefits of software applications like RTI SmartReview for public comment review.
