Ambulatory Surgical Centers and Independent Free Standing Emergency Departments Enrolled in Medicare As Hospital Providers

The Ambulatory Surgical Centers (ASCs) and Independent Free Standing Emergency Departments (IFEDs) Enrolled in Medicare As Hospital Providers dataset includes…

Part of the CMS Data Feeds Dataset › Medicare

Dataplex delivers this CMS feed as the analysis-ready table DWV.AMBULATORY_SURGICAL_CENTERS_AND_INDEPENDENT_FREE_STANDING_EMERGENCY_DEPARTMENTS_ENROLLED_IN_MEDICARE_AS_HOSPITAL_PROVIDERS on Snowflake and Databricks — coverage from 2023 to 2023 in a single aligned schema, refreshed automatically whenever CMS publishes a new file. Every row carries lineage back to the exact CMS source file that produced it.

Key facts

Snowflake	DWV.AMBULATORY_SURGICAL_CENTERS_AND_INDEPENDENT_FREE_STANDING_EMERGENCY_DEPARTMENTS_ENROLLED_IN_MEDICARE_AS_HOSPITAL_PROVIDERS
Databricks	cms_dwv.ambulatory_surgical_centers_and_independent_free_standing_emergency_departments_enrolled_in_medicare_as_hospital_providers
Coverage	May 2023 – Jul 2023
Rows	248 (total across all reporting periods)
Cadence	Weekly
Update pattern	Time-partitioned — each file adds one reporting period
CMS published	2023-07-12
Loaded	2023-08-29
Columns	10 data + 6 lineage
Identifiers	NPI · ZIP codes
File versions	3
License	CMS public data — U.S. Government work
Platforms	Snowflake Marketplace · Databricks Delta Sharing

Included in the CMS Data Feeds Dataset — start a free trial on Snowflake Marketplace.

Last CMS publication 2023-07-12 — awaiting the next release. New files load automatically when CMS publishes.

Time-partitioned feed — each file version covers one reporting period, so history is additive. Query the full table for all periods; filter on the reporting period columns for a single period. Do not filter to the latest file only — that would return just the 2023 reporting period.

Sample queries

Snowflake

-- Each file version covers one reporting period (2023) — history is additive
SELECT *
FROM DWV.AMBULATORY_SURGICAL_CENTERS_AND_INDEPENDENT_FREE_STANDING_EMERGENCY_DEPARTMENTS_ENROLLED_IN_MEDICARE_AS_HOSPITAL_PROVIDERS
LIMIT 100;

Databricks

About this feed

The Ambulatory Surgical Centers (ASCs) and Independent Free Standing Emergency Departments (IFEDs) Enrolled in Medicare As Hospital Providers dataset includes all Medicare enrolled Ambulatory Surgical Centers (ASC) that converted to Hospitals during the COVID-19 public health emergency. Additionally, this list includes Independent Free Standing Emergency Departments (IFEDs) that have been temporarily certified as Hospitals during the COVID-19 public health emergency.

— Source: CMS feed metadata

Keywords: States & Territories, ZIP Code, Medicare, Original Medicare, Medicare Advantage, Hospitals & Facilities, Outpatient Facilities, Provider Enrollment Theme: Medicare

Coverage timeline

2023 🟩

1 of 1 years covered — no gaps.

Release history

Reporting period	CMS published	Loaded	Latest file
2023-07-06 – 2023-07-12	2023-07-12	2023-08-29	✓
2023-06-02 – 2023-06-08	2023-06-08	2023-08-29
2023-05-26 – 2023-06-01	2023-06-01	2023-08-29

Data dictionary

📋 10 data columns + 6 lineage columns

Column-level definitions are maintained by CMS in the official Ambulatory Surgical Centers and Independent Free Standing Emergency Departments Enrolled in Medicare As Hospital Providers data dictionary.

Data columns

Column	Type
ENROLLMENT_ID	TEXT
NPI	TEXT
ENROLLMENT_STATE	TEXT
ORGANIZATION_NAME	TEXT
LINE_1_ST_ADR	TEXT
LINE_2_ST_ADR	TEXT
CITY	TEXT
STATE	TEXT
ZIP_CODE	TEXT
TYPE	TEXT

Lineage columns (present on every feed table)

Column	Type	Description
ROW_ID	TEXT	Unique row ID for this table (PK)
FILE_ID	TEXT	Source file — joins to FEEDS_FILES.ID (FK)
FILE_FEED_ID	TEXT	Parent feed — joins to FEEDS.ID (FK)
FILE_NAME	TEXT	Source file name as published by CMS
ROWNUM	NUMBER	Row number within the source file
CREATED_AT	TIMESTAMP_NTZ	Timestamp when the record was loaded

Row-level lineage

Every row in this table traces to the exact CMS source file that produced it. The FILE_ID column joins to the FEEDS_FILES catalog table, and FILE_FEED_ID joins to the FEEDS master table:

Trace any row back to its source file and reporting period:

SELECT d.ENROLLMENT_ID, d.NPI, d.ENROLLMENT_STATE,
       ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED
FROM DWV.AMBULATORY_SURGICAL_CENTERS_AND_INDEPENDENT_FREE_STANDING_EMERGENCY_DEPARTMENTS_ENROLLED_IN_MEDICARE_AS_HOSPITAL_PROVIDERS d
JOIN DWV.FEEDS_FILES ff ON d.FILE_ID = ff.ID;

Source & provenance

Published by the Centers for Medicare & Medicaid Services (bureau 009:38).

• Official CMS data dictionary

• Ascs and Ifeds Methodology

Frequently asked questions

How often is Ambulatory Surgical Centers and Independent Free Standing Emergency Departments Enrolled in Medicare As Hospital Providers updated?

Weekly. CMS last published this feed on 2023-07-12, and Dataplex loaded it to the warehouse on 2023-08-29. New releases are added automatically when CMS publishes them.

What years does Ambulatory Surgical Centers and Independent Free Standing Emergency Departments Enrolled in Medicare As Hospital Providers cover?

2023 through 2023.

How many records are in Ambulatory Surgical Centers and Independent Free Standing Emergency Departments Enrolled in Medicare As Hospital Providers?

248 rows across all three reporting periods. Because this feed is time-partitioned, the full table total is the meaningful count — no deduplication needed.

How do I get Ambulatory Surgical Centers and Independent Free Standing Emergency Departments Enrolled in Medicare As Hospital Providers data?

It's included in the CMS Data Feeds Dataset on the Snowflake Marketplace (free trial available) and via Databricks Delta Sharing. Once mounted, query DWV.AMBULATORY_SURGICAL_CENTERS_AND_INDEPENDENT_FREE_STANDING_EMERGENCY_DEPARTMENTS_ENROLLED_IN_MEDICARE_AS_HOSPITAL_PROVIDERS directly — no pipeline setup required.

Related feeds

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Get this feed

1. Start a free trial on Snowflake Marketplace or purchase via Databricks

2. Mount the share — the database and DWV schema appear in your account immediately

3. Run the sample query above — no ETL, no pipeline maintenance

Questions about this feed? Contact us at [e-mail].

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