-
hcup-us.ahrq.gov/toolssoftware/comorbidityicd10/CMR-User-Guide-v2025-1.pdf
November 01, 2024 - • Added F06.3 codes indicative of mood disorders with depressive
features. … Versions of the Elixhauser Comorbidity Software
Refined for ICD-10-CM
The following is a summary of key features
-
hcup-us.ahrq.gov/reports/statbriefs/sb97.pdf
October 01, 2010 - Statistical Brief #97: Most Expensive Hospitalizations, 2008
From
HEALTHCARE COST AND
UTILIZATION PROJECT
Agency for Healthcare
Research and Quality
STATISTICAL BRIEF #97
October 2010
Highlights
■ The mean charge for the top 5
percent of stays was $192,000
compared to $20,800 for the mean …
-
hcup-us.ahrq.gov/reports/methods/2020-02.pdf
January 01, 2020 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/MS2022-03-PopulationReport.pdf
December 15, 2022 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/MS-2021-04-PopulationReport.pdf
January 01, 2021 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/2006_3.pdf
January 01, 2006 - One of the most
distinctive features of the KID is that its large sample size allows for the study of … In comparison with the KID and the NIS, the NHDS features a much
smaller sample containing only 327,254
-
hcup-us.ahrq.gov/reports/methods/2012_01.pdf
January 01, 2012 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/datainnovations/Challenges_and_Opportunities_ICD10CMPCS.pdf
October 01, 2014 - IMPLICATIONS OF THE EXPANSION OF
ICD-10-CM
There are 2 main features of ICD-10-CM that merit
attention
-
hcup-us.ahrq.gov/db/nation/nis/reports/2004niscomparisonrpt.jsp
May 01, 2016 - One of the most distinctive features of the NIS is that its large sample size allows for the study of
-
hcup-us.ahrq.gov/reports/methods/2007_03.pdf
January 01, 2007 - One of the most distinctive
features of the NIS is that its large sample size allows for the study of
-
hcup-us.ahrq.gov/reports/methods/2019-02.pdf
January 01, 2019 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/2005_05.pdf
January 01, 2005 - For the SID we used the same
procedure omitting the cluster and stratification features.
-
hcup-us.ahrq.gov/reports/methods/2006_7.pdf
January 01, 2006 - For the SID we used the same
procedure omitting the cluster and stratification features.
-
hcup-us.ahrq.gov/reports/statbriefs/sb228-Breast-Reconstruction-For-Mastectomy.jsp
October 01, 2017 - Physical features include how breasts may define femininity and sense of self. 1
Several previous
-
hcup-us.ahrq.gov/reports/methods/2007_01.pdf
January 01, 2007 - HLM Report
EXECUTIVE SUMMARY
This document continues the HCUP Methods Series of reports, which features … Using the example of patients within hospitals, the distinguishing features of a hierarchical
model … Both maximum
likelihood and Bayesian approaches to inference.) http://multilevel.ioe.ac.uk/features/
-
hcup-us.ahrq.gov/reports/methods/2017-01.pdf
January 01, 2017 - readmissions in a subpopulation defined by clinical domains,
demographics, or any other discharge or hospital features
-
hcup-us.ahrq.gov/reports/methods/2015-07.pdf
January 01, 2015 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/2013_01.pdf
January 01, 2013 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/2017-04.pdf
January 01, 2017 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features
-
hcup-us.ahrq.gov/reports/methods/2018-03.pdf
January 01, 2018 - State Ambulatory
Surgery Databases (SASD) – the same procedure omitting the cluster and stratification features