West Coast Ballroom
Fast track innovations in estimation and analytics for large national health surveys (307857)
*Steven B Cohen, RTI InternationalKeywords: Fast track, health care surveys; estimation; imputation
A high degree of rigor is essential in the statistical integrity of analytic national data resources used to inform public health and healthcare policy and action. In this vein, statistical and analytic staff devote substantial time and effort to implement estimation, imputation and analytic tasks, which are essential components of the analytic databases derived from national or sub-national health care surveys and related data collections. This presentation focuses on the development and implementation of machine learning (ML) enhanced applications to fast track estimation procedures for national health and health care survey efforts that achieve efficiencies in terms of cost and time while satisfying well defined levels of accuracy that ensure data integrity. Attention is given to enhanced processes that serve as an alternative solution to manual, repetitive or time-intensive tasks. Examples are provided with applications to national health survey efforts that include the Medical Expenditure Panel Survey.