Agency for Healthcare Research and Quality

Advancing Excellence in Health Care - www.ahrq.gov


"Refine Search" contains the following sections:

  • Setting of Care
  • Years
  • Diagnosis/Procedure
  • Outcomes & Measures
  • Hospital/Facility Characteristics
  • Patient Characteristics

Click "Setting of Care" to expand the menu and navigate it's contents.



"Setting of Care" contains the following sections:

  • National Inpatient Survey
  • Emergency Department
  • Ambulatory
  • Children's Hospital

Click "National Inpatient Survey" to expand the menu and navigate it's contents.


You now have the option to select multiple states but for this example, we're going to stay in the "National" database.

Click the "National" button to collapse the menu and proceed.

Click "Emergency Department" to proceed.

Click "Ambulatory" to proceed.

Click "Children's Hospital" to proceed

Click "Years" to expand the menu. You're going to select a year and update our query results.

Now that you've chosen add a 2011 selection to your query, an additional table has been created with your modified results. The "Active Analysis" area has also been updated to reflect the additional input of "2011" into our current query.

You now have the option to show or hide a graphed version of the 2011 table.

Click "Years" to close the table.

Click "2011" to update the table.

Click "Diagnosis/Procedure" to expand the menu.

You can now see the contents of this menu. Please click "Diagnosis/Procedure" to close the menu and continue.

Click "Outcomes & Measures" to proceed

You can now see the contents of this menu. Please click "Outcomes & Measures" to close the menu and continue.

Click "Hospital/Facility Characteristics" to proceed.

You can now see the contents of this menu. Please click "Hospital/Facility Characteristics" to close the menu and continue.

Click "Patient Characteristics" to proceed.

You can now see the contents of this menu. Please click "Patient Characteristics" to close the menu and continue.

Click "Filter Data" to proceed

Click "Non-neonatal, non-maternal discharges only" to proceed.

Click "Operating room procedures" to proceed.

Click "Payer" to proceed

Click "Tools" to proceed.

Click "Glossary" to proceed.

Click "Z-Test Calculator" to proceed

Thank you for exploring our walk through of the HCUPnet Query Tool.

Analysis Setup

Choose how you would like to analyze data.

Do you want data on a specific diagnosis or procedure?

Choose the classification type of your procedure

Choose the classification type of your diagnosis

Free Healthcare Data and Statistics

HCUPnet is a free, on-line query system based on data from the Healthcare Cost and Utilization Project (HCUP).

The system provides health statistics and information for hospital inpatient, emergency department and ambulatory settings.

Choose "Create a New Analysis"

 

Create a report

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Healthcare Cost and Utilization Project.

 

Export your data

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Healthcare Cost and Utilization Project.

 

Chart your results

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Healthcare Cost and Utilization Project.

 

Free to use

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Healthcare Cost and Utilization Project.

What is HCUPnet?

The Healthcare Cost and Utilization Project (HCUP, pronounced "H-cup") is a family of health care databases and

related software tools and products developed through a Federal-State-Industry partnership and sponsored by the

Agency for Healthcare Research and Quality. HCUP is based on statewide data collected by individual data

organizations across the United States and provided to AHRQ through the HCUP partnership. HCUP would not be

possible without statewide data collection projects. HCUP includes the largest collection of longitudinal hospital

care data in the United States, encompassing all-payer, discharge-level information.

HCUP data are used for research on hospital utilization, access, charges, quality and outcomes. The data are used

to describe patterns of care for uncommon as well as common diseases, to analyze hospital procedures, including

those that are performed infrequently, and to study the care of population sub-groups such as minorities, children,

women, and the uninsured. Researchers and policymakers use HCUP data to identify, track, analyze and compare

hospital statistics at the national, regional and state levels.

Find out more about HCUP

Get Accurate

Results Fast

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Step 1: What type of data

are you looking for?

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of the Healtcare cost and Utilization

lorem project.

 

Step 2: Specific diagnosis

or procedure?

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of the Healtcare cost and Utilization

lorem project.

 

Step 3: Create

your analysis

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of the Healtcare cost and Utilization

lorem project.

 

Step 4: View & update your

data results in real time

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of the Healtcare cost and Utilization

lorem project.

 

Step 5: View your results

in detailed graphs

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of the Healtcare cost and Utilization

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Step 6: Export your data

for future use

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What's New?

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Cost information for
participating states in
2013

ADDED 9/30/2015

2013 nationwide
hospital data now
available

ADDED 9/30/2015

New 2013
Readmissions data
now available

ADDED 9/30/2015

Maps are now
available on the 2013
county-level statistics

ADDED 9/30/2015

2013 data for
participating states

ADDED 9/30/2015

2012 nationwide
and state ED data --
new database just
released

ADDED 9/30/2015

Load more news

Get more from your data

Quick description about how you have free data and paid data.

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Free Data

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+ Create an analysis!

Purchased Data

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Visit HCUP-US to view paid data

HCUPnet is based on aggregate statistics tables to speed up data transfer and protect indiviudual records, so not all possible queries can be address. If a

query is not possible, HCUPnet will now allow you to choose certain parameters. If there is a query you'd like to see that HCUPnet does not support, please write

us athcup@ahrq.hhs.gov. Internet Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, MD.

http://hcupnet.ahrq.gov/

Attempts to identify individuals or hospitals subject to federal penalty

Data Use Agreement for HCUPnet

Healthcare Cost and Utilization Project (HCUP),

Agency for Healthcare Research and Quality (AHRQ),

U.S. Department of Health and Human Services

You are accessing a healthcare data Website that provides information on use of hospital care. The AHRQ Confidentiality Statute1 prohibits the use of AHRQ HCUP data to identify any person (including but not limited to patients, physicians, and other health care providers).

Users of data on the HCUPnet Website must agree to the following terms:

  • I will make no attempts to identify individuals, and information that could be used to identify individuals directly or indirectly shall not be disclosed, released, or published.
  • I will make no attempts to identify establishments directly or by inference.
  • I will not use deliberate technical analysis to discover or release information on small numbers of observations less than or equal to 10.
  • I will not attempt to link this information with individually identifiable records from any other source.
  • I will not attempt to use this information to contact any persons or establishments in the data for any purpose.

Violations of the AHRQ Confidentiality Statute may be subject to a civil penalty of up to $10,000 under 42 U.S.C. 299c-3(c). Deliberately making a false statement about this or any matter within the jurisdiction of any department or agency of the Federal Government violates 18 U.S.C. § 1001 and is punishable by a fine of up to $10,000 or up to five years in prison.

Violators of this Agreement may also be subject to penalties under state confidentiality statutes that apply to these data for particular states.

By clicking the agreement below, I acknowledge that I agree to comply with these terms.

Section 944(c) of the Public Health Service Act (42 U.S.C. 299c-3(c)).

Active Analysis
Setting of Care: National Inpatient Survey Years: 2012 Diagnosis/Procedure: Clinical Classification Software | 1. Tuberculosis | Principle
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2012 National Statistics

1. Tuberculosis | Principal Diagnosis Only

Graph Table
Show 2-Way Tables
1. Tuberculosis Standard Errors
Total Number of Discharges 5,160 228

Weighted national estimates from HCUP National Inpatient Sample (NIS), 2012, Agency for Healthcare Research and Quality (AHRQ), based on data collected by individual States and provided to AHRQ by the States. Total number of weighted discharges in the U.S. based on HCUP NIS = 36,484,846. Statistics based on estimates with a relative standard error (standard error / weighted estimate) greater than 0.30 or with standard error = 0 in the nationwide statistics (NIS, NEDS, and KID) are not reliable. These statistics are suppressed and are designated with an asterisk (*). The estimates of standard errors in HCUPnet were calculated using SUDAAN software. These estimates may differ slightly if other software packages are used to calculate variances.

Beginning with the 2012 data, the National Inpatient Sample (NIS) was redesigned to optimize national estimates. The nationwide statistics in HCUPnet for years prior to 2012 were regenerated using new trend weights in order to permit longitudinal analysis. The regenerated data were posted to HCUPnet on 7/2/2014. The statistics for years prior to 2012 currently on HCUPnet will differ slightly from statistics obtained prior to 7/2/2014. For more information about the NIS redesign and trend weights, please view the Overview of the NIS.

See the ICD codes that comprise CCS categories.

If you want to test whether apparent differences are significant, use the Z-Test Calculator. A p-value of less than 0.05 is generally considered statistically significant.

2011 National Statistics

1. Tuberculosis | Principal Diagnosis Only

Graph Table Graph Table
Show 2-Way Tables
1. Tuberculosis Standard Errors
Total Number of Discharges 5,750 513

Weighted national estimates from HCUP Nationwide Inpatient Sample (NIS), 2011, Agency for Healthcare Research and Quality (AHRQ), based on data collected by individual States and provided to AHRQ by the States. Total number of weighted discharges in the U.S. based on HCUP NIS = 36,962,415. Statistics based on estimates with a relative standard error (standard error / weighted estimate) greater than 0.30 or with standard error = 0 in the nationwide statistics (NIS, NEDS, and KID) are not reliable. These statistics are suppressed and are designated with an asterisk (*). The estimates of standard errors in HCUPnet were calculated using SUDAAN software. These estimates may differ slightly if other software packages are used to calculate variances.

Beginning with the 2012 data, the National Inpatient Sample (NIS) was redesigned to optimize national estimates. The nationwide statistics in HCUPnet for years prior to 2012 were regenerated using new trend weights in order to permit longitudinal analysis. The regenerated data were posted to HCUPnet on 7/2/2014. The statistics for years prior to 2012 currently on HCUPnet will differ slightly from statistics obtained prior to 7/2/2014. For more information about the NIS redesign and trend weights, please view the Overview of the NIS. If you want to use the previous versions of the NIS weights, click here.

See the ICD codes that comprise CCS categories.

If you want to test whether apparent differences are significant, use the Z-Test Calculator. A p-value of less than 0.05 is generally considered statistically significant.

2012 National Statistics

1. Tuberculosis | Principal Diagnosis Only

Graph Table
Show 2-Way Tables
1. Tuberculosis Standard Errors
Total Number of Discharges 5,160 228

Weighted national estimates from HCUP National Inpatient Sample (NIS), 2012, Agency for Healthcare Research and Quality (AHRQ), based on data collected by individual States and provided to AHRQ by the States. Total number of weighted discharges in the U.S. based on HCUP NIS = 36,484,846. Statistics based on estimates with a relative standard error (standard error / weighted estimate) greater than 0.30 or with standard error = 0 in the nationwide statistics (NIS, NEDS, and KID) are not reliable. These statistics are suppressed and are designated with an asterisk (*). The estimates of standard errors in HCUPnet were calculated using SUDAAN software. These estimates may differ slightly if other software packages are used to calculate variances.

Beginning with the 2012 data, the National Inpatient Sample (NIS) was redesigned to optimize national estimates. The nationwide statistics in HCUPnet for years prior to 2012 were regenerated using new trend weights in order to permit longitudinal analysis. The regenerated data were posted to HCUPnet on 7/2/2014. The statistics for years prior to 2012 currently on HCUPnet will differ slightly from statistics obtained prior to 7/2/2014. For more information about the NIS redesign and trend weights, please view the Overview of the NIS.

See the ICD codes that comprise CCS categories.

If you want to test whether apparent differences are significant, use the Z-Test Calculator. A p-value of less than 0.05 is generally considered statistically significant.