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Continuous Individualized Risk Index (CIRI) (initialism pronounced /ˈsɪri/) is to a set of probabilistic risk models [1] utilizing Bayesian statistics for integrating diverse cancer biomarkers over time to produce a unified prediction of outcome risk, as originally described by Kurtz, Esfahani, et al. (2019) [2] [3] [4] from Ash Alizadeh's laboratory at Stanford.
The organization was the sole prime contractor for developing and maintaining AHRQ's National Guideline Clearinghouse, a database of clinical practice guidelines, since its inception in 1998 and the National Quality Measures Clearinghouse, [14] a database of evidence-based healthcare quality measures, since its inception in 2001.
Within CEPI, the Evidence-Based Practice Centers [20] (EPCs) develop evidence reports and technology assessments on topics relevant to clinical and other health care organization and delivery issues—specifically those that are common, expensive, and/or significant for the Medicare and Medicaid populations. With this program, AHRQ serves as a ...
A large number of hierarchies of evidence have been proposed. Similar protocols for evaluation of research quality are still in development. So far, the available protocols pay relatively little attention to whether outcome research is relevant to efficacy (the outcome of a treatment performed under ideal conditions) or to effectiveness (the outcome of the treatment performed under ordinary ...
HCUP Logo. The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products from the United States that is developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ).
A 2002 study found "there are numerous non-HEDIS interventions with some evidence of cost effectiveness, particularly interventions to promote healthy behaviors". [11] This may speak more to the specificity of defined healthcare Best Practices interventions to At Risk Populations than to anecdotal interventions with "some evidence".
The index was developed by Mary Charlson and colleagues in 1987, but the methodology has been adapted several times since then based on the findings of additional studies. [5] Many variations of the Charlson comorbidity index have been presented, including the Charlson/Deyo, Charlson/Romano, Charlson/Manitoba, and Charlson/D'Hoores comorbidity ...
The Nationwide Inpatient Sample is the largest all-payer inpatient care database in the United States from which national estimates of inpatient care can be derived. Using safety data from the NIS, the AHRQ has been able to provide complication rates and risk data, even for rare surgical procedures, such as bariatric surgery. [25]