Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

HCUP Nationwide Ambulatory Surgery Sample (NASS) Database – Restricted Access

Metadata Updated: July 26, 2023

The largest all-payer ambulatory surgery database in the United States, the Healthcare Cost and Utilization Project (HCUP) Nationwide Ambulatory Surgery Sample (NASS) produces national estimates of major ambulatory surgery encounters in hospital-owned facilities. Major ambulatory surgeries are defined as selected major therapeutic procedures that require the use of an operating room, penetrate or break the skin, and involve regional anesthesia, general anesthesia, or sedation to control pain (i.e., surgeries flagged as "narrow" in the HCUP Surgery Flag Software). Unweighted, the NASS contains approximately 9.0 million ambulatory surgery encounters each year and approximately 11.8 million ambulatory surgery procedures. Weighted, it estimates approximately 11.9 million ambulatory surgery encounters and 15.7 million ambulatory surgery procedures.

Sampled from the HCUP State Ambulatory Surgery and Services Databases (SASD) and State Emergency Department Databases (SEDD) in order to capture both planned and emergent major ambulatory surgeries, the NASS can be used to examine selected ambulatory surgery utilization patterns. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels.

The NASS contains clinical and resource-use information that is included in a typical hospital-owned facility record, including patient characteristics, clinical diagnostic and surgical procedure codes, disposition of patients, total charges, facility characteristics, and expected source of payment, regardless of payer, including patients covered by Medicaid, private insurance, and the uninsured. The NASS excludes data elements that could directly or indirectly identify individuals, hospitals, or states. The NASS is limited to encounters with at least one in-scope major ambulatory surgery on the record, performed at hospital-owned facilities. Procedures intended primarily for diagnostic purposes are not considered in-scope.

Restricted access data files are available with a data use agreement and brief online security training.

Access & Use Information

Restricted: This dataset can only be accessed or used under certain conditions. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date June 8, 2022
Metadata Updated Date July 26, 2023

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date June 8, 2022
Metadata Updated Date July 26, 2023
Publisher Agency for Healthcare Research and Quality, Department of Health & Human Services
Maintainer
Identifier https://healthdata.gov/api/views/x5sw-xtqj
Data First Published 2022-06-07
Data Last Modified 2023-07-25
Public Access Level restricted public
Bureau Code 009:33
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://healthdata.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Dictionary https://www.hcup-us.ahrq.gov/db/nation/nass/nassdbdocumentation.jsp
Harvest Object Id 18b164ba-43fd-49bf-9524-6263e9f0fe34
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://www.hcup-us.ahrq.gov
License https://www.distributor.hcup-us.ahrq.gov/Home.aspx
Program Code 009:074
Source Datajson Identifier True
Source Hash 17645dd6f9e0a4a71f0cd592fa4cde14d09995e4
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.