Data quality remains a barrier in using operational healthcare data for research purposes. This study measures the quality of demographic data (e.g., age, race, marital status, and zip codes) captured by Maryland’s hospital and emergency department discharges in 2013 and 2014. Data with unacceptable rates of completeness, fidelity or plausibility consisted ~9.42% of encounters across all years and data sources.

Learning Objective: - Describe various data quality dimensions (e.g., completeness, fidelity and plausibility)
- Explain the potential data quality issues with HCUP data (especially demographic data)

Authors:

Ashley Li (Presenter)
Johns Hopkins University

Hadi Kharrazi, Johns Hopkins University

Presentation Materials:

• Abstract/Manuscript - 1