The materials included here provide background information on the three Healthcare Cost and Utilization Project (HCUP) Partner Pilot Projects and one Planning Project, as well as information on the value of adding laboratory data to administrative databases.

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Pilot and Planning Projects: AHRQ-funded pilot and planning project descriptions with access to materials.

Health Information Technology (HIT) Resources: Health Information Technology (HIT) materials from the AHRQ National Resource Center and the Office of the National Coordinator for Health Information Technology (ONC).

Presentations

• Adding Clinical Data Project Overview Presentation (PDF file, 3.7 MB; HTML), presentation by R. Andrews and A. Elixhauser



• AHRQ Pilot Project: Adding Clinical Data Elements to Administrative Data (PDF file, 3.6 MB; HTML), presentation by C. Sullivan and B. Diefenbach



• Creating a Hybrid Database by Adding a POA Modifier and Numerical Laboratory Results to Administrative Claims Data (PDF file, 1 MB; HTML), presentation by M. Pine

Publications

• HCUP Method Series: Enhancing Clinical Information in Statewide Administrative Data: Project Summary and Lessons Learned (PDF file, 248 KB), a summary of the experiences of the Pilot and Planning project states, including challenges of the project and recommendations to organizations undertaking similar data enhancement initiatives.



• Technical Brief – Enhancing Hospital Performance Measurement Through Greater Data Integration: Linking Clinical Data to All-Payer Administrative Data (High-Value Health Care Project, 2010)



• Enhancement of Claims Data to Improve Risk Adjustment of Hospital Mortality (Pine et al, 2007 Journal of the American Medical Association)



• Combining Administrative and Clinical Data to Stratify Surgical Risk (Fry et al, 2007 Annals of Surgery)



• Cost-Effective Enhancement of Claims Data to Improve Comparisons of Patient Safety (Harmon et al, 2007 Journal of Patient Safety)



• Modifying ICD-9-CM Coding of Secondary Diagnoses to Improve Risk-adjustment of Inpatient Mortality Rates (Pine et al, 2009 Medical Decision Making)



• The Hazards of Using Administrative Data to Measure Surgical Quality (Fry et al, 2006 The American Surgeon)