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Total Results: 1,075 records

Showing results for "standard".

101. Exhibit 2.6. Diabetes
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_6c.jsp
     January 01, 2005 - Diagnoses by Median Income of Patients' ZIP Code,* 2005 Median Income of Zip Code Total Discharges Standard

102. Exhibit 1.7. Expected Primary Payer
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_7.jsp
     January 01, 2005 - by Expected Primary Payer, 2005 Primary Payer Number of Discharges Percent Distribution Standard

103. HCUP-US Index Page
     hcup-us.ahrq.gov/tech_assist/index_stu.jsp
     February 01, 2022 - Utilization Flags for ICD-9-CM Software Tools - Utilization Flag for ICD-10-PCS Spotlights (HCUP) Standard … report) Trend Tables Trends Weights - NIS (1993-2011) Tutorials (HCUP) Tutorials - Calculating Standard

104. Checklist for Working with the NASS
     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

105. Checklist for Working with the NEDS
     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

106. Exhibit 2.7. Pressure Sores
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_7.jsp
     January 01, 2005 - Number of Discharges for Pressure Sores, 1993-2005 All-listed Diagnoses Number of Discharges Standard

107. Exhibit 2.11. Influenza
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_11b.jsp
     January 01, 2005 - 26,600 26,900 26,300 38,500 64,400 55,700 19,400 37,600 86,300 37,400 81,400 Standard

108. Exhibit 5.1. Uninsured Inpatient Hospital Stays: Admission Source and Discharge Status
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_5_1A.jsp
     January 01, 2005 - 37,018.9 Admissions through the emergency department 16,645.1 1,239.1 15,388.4 Standard

109. Exhibit 1.5. Discharge Status
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_5.jsp
     January 01, 2005 - by Discharge Status, 2005 Discharge Status Total Number of Discharges Percent Distribution Standard

110. Exhibit 2.8. Alcoholism
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_8b.jsp
     January 01, 2005 - 26.4 Private insurance 34.9 29.7 Uninsured 5.4 21.5 Other 3.0 5.5 Standard

111. Exhibit 1.6. Patient Age
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_6a.jsp
     January 01, 2005 - Discharges Age Group Number of Persons Percent Distribution Total Number of Discharges Standard

112. Methods – Applying HCUP Quality Indicators (pdf file)
     hcup-us.ahrq.gov/reports/methods/2017-03.pdf
     January 01, 2017 - • 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.

113. Methods – Applying HCUP Quality Indicators (pdf file)
     hcup-us.ahrq.gov/reports/methods/2018-01.pdf
     January 01, 2018 - • 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.

114. Methods – Applying HCUP Quality Indicators (pdf file)
     hcup-us.ahrq.gov/reports/methods/2016-01.pdf
     January 01, 2016 -  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.

115. Exhibit 1.2. Inpatient Hospital Stays and Average Length of Stay
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_2.jsp
     January 01, 2005 - Stay Number of Inpatient Hospital Stays and Average Length of Stay, 1993-2005 Year Level Standard

116. Exhibit 1.6. Patient Age
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_6b.jsp
     January 01, 2005 - Discharges per 1,000 US Population by Age Group, 2005 Age Group Total Number of Discharges Standard

117. Exhibit 4.1 Costs for the Most Frequent Diagnoses
     hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_4_1B.jsp
     January 01, 2005 - Costs for Six of the Most Costly Cardiovascular Conditions,** 1998-2005 Year Costs in Millions Standard

118. Microsoft Word - QDR 2014 HCUP Short Methods Report_041015_FINAL.docx (pdf file)
     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.

119. Clinical Content Enhancement Toolkit
     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

120. Enhancing the Clinical Content of Administrative Data - Present on Admission (POA) Toolkit: Data Standards and Transmission Tools
     hcup-us.ahrq.gov/datainnovations/clinicaldata/tkds.jsp
     July 01, 2016 - Enhancing the Clinical Content of Administrative Data - Present on Admission (POA) Toolkit: Data Standards and Transmission Tools An official website of the Department of Health & Human Services Search …