-
hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_11a.jsp
January 01, 2005 - 2%
11%
Percent 1-64 years
53%
38%
Percent 65 years and above
34%
51%
Standard
-
hcup-us.ahrq.gov/reports/factsandfigures/2007/pdfs/section3_2.pdf
January 01, 2007 - THOUSANDS
PERCENT OF AGE-
SPECIFIC TOTAL
DISCHARGES
* Statistics based on estimates with a relative standard … error (standard error/weighted estimate) greater than 0.30 or with standard
error equal to 0 in the
-
hcup-us.ahrq.gov/reports/methods/2015_02.pdf
January 01, 2015 - Standard Errors and Hypothesis Tests. … We do not employ finite population correction factors in estimating standard errors. … Ng,std = Standard population for cell g (year 2010 total US population in cell g). … We multiplied this standard error by
1,000.
b. … Let SE1 and SE2 be the corresponding standard errors for the two rates.
-
hcup-us.ahrq.gov/datainnovations/clinicaldata/FL15LOINCbriefdescription.pdf
April 04, 2011 - 1995,
LOINC® has been adopted by the Office of National Coordinator for Healthcare IT as a viable
standard
-
hcup-us.ahrq.gov/reports/methods/2012_01.pdf
January 01, 2012 - Calculating Standard Errors for Population-Based rates From HCUP Data ............ 1
Step-By-Step Example … rates using HCUP data as the numerator and Census
population data as the denominator, standard errors … The method for calculating
standard errors takes into account the cluster and stratification aspects … Step-By-Step Example
Consider the following example of calculating a population-based rate and standard … Step 2: Calculate the numerator and standard deviation of the numerator using the NIS.
-
hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_10b.jsp
January 01, 2005 - Diagnosis of Injuries, 1997-2005
CCS Principal Diagnosis Category and Name
Discharges in Thousands
Standard
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2007_Core.TXT
January 01, 2007 - NIS 2007 Core 5 ASOURCEUB92 11 11 Char Admission source (UB-92 standard … 2007 Core 11 DISPUB04 37 38 Num Disposition of patient (UB-04 standard … 125 PointOfOriginUB04 467 467 Char Point of origin for admission or visit, UB-04 standard
-
hcup-us.ahrq.gov/datainnovations/clinicaldata/lv2.jsp
February 01, 2025 - Observation Identifiers Names and Codes (LOINC®)/Health Level 7 (HL7) Data Standards
LOINC, a Universal Standard
-
hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_3_6B.jsp
January 01, 2005 - 81,000
80,800
-0.2
142
Partial excision of bone
224,500
208,900
-6.9
Standard
-
hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_3_1.jsp
January 01, 2005 - All-listed Procedure CCS Condition Category and Name
Number of Stays with the Procedure in Thousands
Standard
-
hcup-us.ahrq.gov/db/nation/neds/nedschecklist.jsp
November 01, 2024 - ⬜
Account for the design of the NEDS when calculating standard errors. … There are two methods for calculating standard errors for estimates produced from the NEDS. … To learn how to calculate standard errors, view the HCUP Calculating Standard Errors On-line Tutorial
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2008_Core.TXT
January 01, 2008 - NIS 2008 Core 5 ASOURCEUB92 11 11 Char Admission source (UB-92 standard … 2008 Core 11 DISPUB04 32 33 Num Disposition of patient (UB-04 standard … 128 PointOfOriginUB04 473 473 Char Point of origin for admission or visit, UB-04 standard
-
hcup-us.ahrq.gov/db/nation/nass/nasschecklist.jsp
November 01, 2024 - ⬜
Account for the design of the NASS when calculating standard errors. … There are two methods for calculating standard errors for estimates produced from the NASS. … Because the NASS is a stratified cluster sample, proper statistical techniques must be used to calculate standard … To learn how to calculate standard errors, view the HCUP Calculating Standard Errors On-line Tutorial
-
hcup-us.ahrq.gov/reports/methods/2019-02.pdf
January 01, 2019 - Calculating Standard Errors for Population-Based rates From HCUP Data ........ … rates using HCUP data as the numerator and Census
population data as the denominator, standard errors … The method for calculating
standard errors takes into account the cluster and stratification aspects … Step 2: Calculate the numerator and standard deviation of the numerator using the NIS. … Calculating Standard Errors for Population-Based rates From HCUP Data
Step-By-Step Example
-
hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/nm2.jsp
July 01, 2016 - Standardizing the Collection of Race, Ethnicity, and Tribal Affiliation Data.
An official website of the Department of Health & Human Services
Search All AHRQ Websites
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…
-
hcup-us.ahrq.gov/db/nation/nis/HCUPNISChecklist_081020.pdf
August 10, 2020 - Checklist Item Description Checklist Resource
Account for the
design of the NIS
when calculating
standard … Standard error calculations should take into
account the stratification (data element
NIS_STRATUM) … To learn how to calculate standard errors, view the
HCUP Calculating Standard Errors On-line Tutorial
-
hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/data_collection.jsp
February 01, 2025 - results with administrative data can identify patient co-morbidities that would remain unknown by using standard … information technology (HIT), Logical Observation Identifiers Names and Codes (LOINC®) provide a universal standard … ASCII (American Standard Code for Information Interchange) is a character-encoding scheme that allows
-
hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/mn23.jsp
July 01, 2016 - pilot project that hospitals can readily map currently-available electronic laboratory data into a standard … format with standard data specifications.
-
hcup-us.ahrq.gov/db/nation/kid/kid_statelevelestimates.jsp
February 01, 2022 - because the KID was not designed to be representative at the State level, design-based estimates of standard
-
hcup-us.ahrq.gov/datainnovations/clinicaldata/RealTimeLOINCTranslationPoster.jsp
July 01, 2016 - This poster discusses the application of a standard translation tool, LOINC®, to allow the merging of … stages of the project was the translation of 30 data elements from five test catalogs to the vocabulary standard … both repetitiveness and variations in data entry alleviates the burdens from adopting a vocabulary standard