National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 1 of 1 Research Studies DisplayedNaessens JM, Visscher SL, Peterson SM
Incorporating the last four digits of social security numbers substantially improves linking patient data from de-identified hospital claims databases.
The study objective was to assess algorithms for linking patients across de-identified databases without compromising confidentiality. It found that addition of SSNL4 to administrative data, accompanied by appropriate data use and data release policies, can enable trusted repositories to link data with nearly perfect accuracy.
AHRQ-funded; HS020043.
Citation: Naessens JM, Visscher SL, Peterson SM .
Incorporating the last four digits of social security numbers substantially improves linking patient data from de-identified hospital claims databases.
Health Serv Res 2015 Aug;50 Suppl 1:1339-50. doi: 10.1111/1475-6773.12323..
Keywords: Data, Registries, Hospital Discharge, Health Information Technology (HIT)