Title Information

Title

Utilizing an All-Payer Claims Database for Clinical Research

Abstract

All-Payer Claims Databases combine procedure, assessment, and treatment data for all patients covered by health insurance. While such databases have historically been used for cost/benefit analysis with regard to healthcare policy, they may prove to be a useful tool for clinical research, especially in the context of non-acute conditions. This presentation examines the structure and potential of HealthFacts RI, Rhode Island’s new APCD, for application in clinical research.

Name

Name Part

Ruddell, Jack H.

Role

Role Term (marcrelator) (authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")

Author

Name

Name Part

Sarkar, Indra Neil

Role

Role Term (marcrelator) (authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")

Author

Name

Name Part

Chen, Elizabeth S.

Role

Role Term (marcrelator) (authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")

Author

Name: Corporate

Name Part

Brown University. Alpert Medical School. Scholarly Concentration Program. Biomedical Informatics

Role

Role Term: Text

research program

Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00832181")

Topic

Bioinformatics

Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00887946")

Topic

Data mining

Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00953087")

Topic

Health insurance claims

Language

Language Term: Text (ISO639-2B)

English

Origin Information

Date Created (keyDate="yes", encoding="w3cdtf")

2018

Note (displayLabel="Scholarly concentration")

Biomedical Informatics

Access Condition: use and reproduction (href="")

All rights reserved

Access Condition: logo (href="")

Type of Resource

text