Celia Dahlman
Biographic Data
| ID | 5542119 |
|---|---|
| NAME | Celia Dahlman |
| GIVEN NAMES | Celia |
| FAMILY NAME | Dahlman |
| SIGNATURE | DAHLMAN C |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2002 |
| H-INDEX | 0 |
Linking Physician Characteristics and Medicare Claims Data
BACKGROUND: Increasingly, investigators are using administrative databases to answer research questions requiring physician characteristics information. This article provides a roadmap for investigators who use Medicare data to answer such questions, focusing on use of the Surveillance, Epidemiology, and End Results (SEER)-Medicare files. METHODS: Three data sources that can be linked to identify physician characteristics-Medicare claims, the Uni…
Identifying and Measuring Hospital Characteristics Using the Seer-Medicare Data and Other Claims-Based Sources
The context in which health care is delivered may have an impact on the outcomes and processes of care. Researchers analyzing claims data that reflect care rendered at many institutions may wish to identify hospital characteristics such as bed size, teaching status, degree of specialization, and case volume to evaluate their influence on outcomes. The authors describe the resources available from administrative data for characterizing hospitals. …
No prominent works on this page.
Linking Physician Characteristics and Medicare Claims Data
BACKGROUND: Increasingly, investigators are using administrative databases to answer research questions requiring physician characteristics information. This article provides a roadmap for investigators who use Medicare data to answer such questions, focusing on use of the Surveillance, Epidemiology, and End Results (SEER)-Medicare files. METHODS: Three data sources that can be linked to identify physician characteristics-Medicare claims, the Uni…
Identifying and Measuring Hospital Characteristics Using the Seer-Medicare Data and Other Claims-Based Sources
The context in which health care is delivered may have an impact on the outcomes and processes of care. Researchers analyzing claims data that reflect care rendered at many institutions may wish to identify hospital characteristics such as bed size, teaching status, degree of specialization, and case volume to evaluate their influence on outcomes. The authors describe the resources available from administrative data for characterizing hospitals. …
Family medicine (2 works) · Healthcare Policy and Management (2 works) · Medicine (2 works) · MEDLINE (2 works) · Primary Care and Health Outcomes (2 works) · Actuarial science (1 work) · Business (1 work) · Certification (1 work) · Computer Science (1 work) · Context (archaeology) (1 work)