CANCELED Exploring Potential AI-Facilitated Efficiencies in a Health Survey Program

Music City Center 

This presentation explores several incremental steps taken to integrate AI and machine learning into the National Health Interview Survey program, assessing their impact on the efficiency of the survey's processes. Examples will span most major survey stages and may include developing questions to ask about new concepts, providing initial translations from English to Spanish, streamlining the coding of responses to classify health insurance coverage types, migrating a data processing codebase while maintaining functionality, optimizing sample weighting and nonresponse adjustments, and utilizing AI-driven interpretation of results. By examining these examples, this presentation highlights the benefits and challenges associated with incorporating AI into health survey programs, and how the culture of a federal statistical agency and the weight of tradition can slow acceptance of new technologies.

Efficiency

Health surveys

Translations

Coding

Insurance coverage

Data weighting