… This study used medical claims data from 2 large … claims data into analytic files presented
challenges related to assessing and improving the quality of the data, combining data from 2 …

… This work shows the enormous potential that large-scale analyses of EHR data offer for the
… for DM1 and DM2 using medical claims data. This analysis is equivalent to 39 938 individual …

… claims data will likely continue to evolve as health services researchers refine the metrics
to analyze large administrative data sets. Many studies are using claims data and other large …

… data analytics on health insurance data collected by a large … data mining methods for
analyzing healthcare claims data … instances where advanced data analytics and healthcare have …

… Claims data are a relatively inexpensive way to obtain useful information about patient …
procedures from large numbers of patients over extended periods of time. With claims data, it is …

… This paper overviews the use of claims data in pharmacoepidemiology, examines problems
related to claims data use, and focuses on the uncertain validity of diagnosis data. Two …

… The Healthcare Cost and Utilization Project (HCUP) sponsored by the AHRQ is a family of
healthcare all-payer databases and has the largest collection of all-payer inpatient data in the …

… Taking into account a large number of potential confounding factors such as age, sex,
educational … In the present study, we used a large longitudinal data set from routine claims data to …

… The private claims database used in this study contains detailed … claims data used in this
analysis came from a 20% random sample of the California Medicaid (Medi-Cal) paid claims …

… prevalence estimates for HS in the United States using large health care claims databases.
… data enable all patients with a diagnosis to be identified as cases, the claims-based data in …