This series of files links two large population-based sources providing detailed data about Medicare beneficiaries with cancer. The SEER (Surveillance, Epidemiology, and End Results) program consists of clinical, demographic, and cause of death information collected from tumor registries beginning in January 1, 1973. The Medicare contribution includes all claims for covered health care services from beneficiaries’ time of eligibility until death. Linkage is processed biennially by SEER and Centers for Medicare and Medicaid Services (CMS) staff. 95% of individuals age 65 and older are included in the SEER files. Due to privacy concerns, access to this database requires an application, SEER-Medicare Data Use Agreement (DUA), and documentation of institutional review board approval. Additionally, the National Cancer Institute’s information technology contractor assesses a processing fee the amount of which is dependent upon the type and number of files requested.

NCHS has linked data from various surveys with 1999-2013 Medicare program enrollment and health care utilization and expenditure data from the Centers for Medicare & Medicaid Services (CMS). Linkage of the NCHS survey participants with the CMS Medicare data provides the opportunity to study changes in health status, health care utilization and costs, and prescription drug use among Medicare enrollees. Medicare is the federal health insurance program for people who are 65 or older, certain younger people with disabilities, and people with End-Stage Renal Disease.

Context

This public dataset was created by the Centers for Medicare & Medicaid Services. The data summarize counts of enrollees who are dually-eligible for both Medicare and Medicaid program, including those in Medicare Savings Programs. “Duals” represent 20 percent of all Medicare beneficiaries, yet they account for 34 percent of all spending by the program, according to the Commonwealth Fund . As a representation of this high-needs, high-cost population, these data offer a view of regions ripe for more intensive care coordination that can address complex social and clinical needs. In addition to the high cost savings opportunity to deliver upstream clinical interventions, this population represents the county-by-county volume of patients who are eligible for both state level (Medicaid) and federal level (Medicare) reimbursements and potential funding streams to address unmet social needs across various programs, waivers, and other projects. The dataset includes eligibility type and enrollment by quarter, at both the state and county level. These data represent monthly snapshots submitted by states to the CMS, which are inherently lower than ever-enrolled counts (which include persons enrolled at any time during a calendar year.) For more information on dually eligible beneficiaries

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.sdoh_cms_dual_eligible_enrollment.

Sample Query

In what counties in Michigan has the number of dual-eligible individuals increased the most from 2015 to 2018? Find the counties in Michigan which have experienced the largest increase of dual enrollment households

duals_Jan_2015 AS ( SELECT Public_Total AS duals_2015, County_Name, FIPS FROM bigquery-public-data.sdoh_cms_dual_eligible_enrollment.dual_eligible_enrollment_by_county_and_program WHERE State_Abbr = "MI" AND Date = '2015-12-01' ),

duals_increase AS ( SELECT d18.FIPS, d18.County_Name, d15.duals_2015, d18.duals_2018, (d18.duals_2018 - d15.duals_2015) AS total_duals_diff FROM duals_Jan_2018 d18 JOIN duals_Jan_2015 d15 ON d18.FIPS = d15.FIPS )

SELECT * FROM duals_increase WHERE total_duals_diff IS NOT NULL ORDER BY total_duals_diff DESC

The datasets include the monthly count of individuals who are enrolled in Medicare Savings Programs (MSP), by aid code and county. The counts reflect the total number of eligible individuals enrolled during the month. MSP help individuals with limited income and resources pay for some of the out-of-pocket costs for Medicare, including Medicare Part A and Part B premiums, deductibles, copayments, and coinsurance. There are four Medicare Savings Programs: Qualified Medicare Beneficiary (QMB), Specified Low Income Medicare Beneficiary (SLMB), Qualifying Individual (QI), and Qualified Working Disabled Individual (QWDI). Individuals who are eligible for QMB, SLMB, and QI also automatically qualify for the Low Income Subsidy (or “Extra Help”) program, which helps lower the cost of prescription drugs. Counties and aid codes with zero individuals enrolled during a reporting period are not included in the dataset.

Context

The CMS National Plan and Provider Enumeration System (NPPES) was developed as part of the Administrative Simplification provisions in the original HIPAA act. The primary purpose of NPPES was to develop a unique identifier for each physician that billed medicare and medicaid. This identifier is now known as the National Provider Identifier Standard (NPI) which is a required 10 digit number that is unique to an individual provider at the national level.

Once an NPI record is assigned to a healthcare provider, parts of the NPI record that have public relevance, including the provider’s name, speciality, and practice address are published in a searchable website as well as downloadable file of zipped data containing all of the FOIA disclosable health care provider data in NPPES and a separate PDF file of code values which documents and lists the descriptions for all of the codes found in the data file.

Content

The dataset contains the latest NPI downloadable file in an easy to query BigQuery table, npi_raw. In addition, there is a second table, npi_optimized which harnesses the power of Big Query’s next-generation columnar storage format to provide an analytical view of the NPI data containing description fields for the codes based on the mappings in Data Dissemination Public File - Code Values documentation as well as external lookups to the healthcare provider taxonomy codes . While this generates hundreds of columns, BigQuery makes it possible to process all this data effectively and have a convenient single lookup table for all provider information.

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:nppes?_ga=2.117120578.-577194880.1523455401

https://console.cloud.google.com/marketplace/details/hhs/nppes?filter=category:science-research

Dataset Source: Center for Medicare and Medicaid Services. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @rawpixel from Unplash.

Inspiration

What are the top ten most common types of physicians in Mountain View?

What are the names and phone numbers of dentists in California who studied public health?

This data set accompanies the Profile of the California Medicare Population chartbook, published by the Office of Medicare Innovation and Integration in February 2022, and available at (https://www.dhcs.ca.gov/services/Documents/OMII-Medicare-Databook-February-18-2022.pdf). The three data files in this data set were analyzed from federal administrative data (the Medicare Master Beneficiary Summary File) for beneficiary characteristics as of March 2021. These datasets include: Medicare enrollment, Medicare Advantage enrollment (and its converse fee-for-service Medicare enrollment), dual Medi-Cal eligibility and enrollment (and its converse Medicare-only enrollment), by county. Medicare Savings Program enrollees were considered Medicare-only and not dually enrolled in Medi-Cal. All Medicare Part C beneficiaries, including PACE, Cal MediConnect and Special Needs Plans, were considered to have Medicare Advantage.

DHCS partnered with The SCAN Foundation and ATI Advisory in 2021 and 2022 to develop a series of chartbooks that provide information about Medicare beneficiaries in California. This work is supported by a grant from The SCAN Foundation to advance a coordinated and easily navigated system of high-quality services for older adults that preserve dignity and independence. For more information, visit www.TheSCANFoundation.org.

The Medicare Telehealth Trends dataset provides information about people with Medicare who used telehealth services between January 1, 2020 and June 30, 2024. The data were used to generate the Medicare Telehealth Trends Report.

Content

This crosswalk links the types of providers and suppliers who are eligible to apply for enrollment in the Medicare program with the appropriate Healthcare Provider Taxonomy Codes. This crosswalk includes the Medicare Specialty Codes for those provider/supplier types who have Medicare Specialty Codes. The Healthcare Provider Taxonomy Code Set is available from the Washington Publishing Company (www.wpc-edi.com) and is maintained by the National Uniform Claim Committee (www.nucc.org). The code set is updated twice a year, with the updates being effective April 1 and October 1 of each year. This document reflects Healthcare Provider Taxonomy Codes effective for use on April 2, 2018.

When changes are made to Medicare provider enrollment requirements, the Medicare Specialty Codes, or the Healthcare Provider Taxonomy Code Set, this document may need to be revised.

NOTE: This document does not alter existing Medicare claims preparation, processing, or payment instructions, nor does it alter existing Medicare provider enrollment requirements or policies.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Markus Spiske on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset is distributed under NA

The dataset contains information about the prevalence of chronic conditions among Original Medicare beneficiaries as well as about the spending and co-occurring conditions for those with each condition. The data are available for California and for the rest of the United States, overall and by demographic and geographic groups. Additionally, the data are available for each of 19 California geographic regions overall and by demographic and geographic groups. The data represent Medicare beneficiaries who are in the Original Medicare program. Medicare offers health care coverage for older adults and certain individuals with disabilities. The Original Medicare program is Parts A and B of Medicare, administered by the U.S. Centers for Medicare & Medicaid Services. The analysis excludes enrollees of the Medicare Advantage program, administered by private insurers, because Medicare Advantage data are incomplete.

Content

The hospital readmission rate PUF presents nation-wide information about inpatient hospital stays that occurred within 30 days of a previous inpatient hospital stay (readmissions) for Medicare fee-for-service beneficiaries. The readmission rate equals the number of inpatient hospital stays classified as readmissions divided by the number of index stays for a given month. Index stays include all inpatient hospital stays except those where the primary diagnosis was cancer treatment or rehabilitation. Readmissions include stays where a beneficiary was admitted as an inpatient within 30 days of the discharge date following a previous index stay, except cases where a stay is considered always planned or potentially planned. Planned readmissions include admissions for organ transplant surgery, maintenance chemotherapy/immunotherapy, and rehabilitation.

This dataset has several limitations. Readmissions rates are unadjusted for age, health status or other factors. In addition, this dataset reports data for some months where claims are not yet final. Data published for the most recent six months is preliminary and subject to change. Final data will be published as they become available, although the difference between preliminary and final readmission rates for a given month is likely to be less than 0.1 percentage point.

Data Source: The primary data source for these data is the CMS Chronic Condition Data Warehouse (CCW), a database with 100% of Medicare enrollment and fee-for-service claims data. For complete information regarding data in the CCW, visit http://ccwdata.org/index.php. Study Population: Medicare fee-for-service beneficiaries with inpatient hospital stays.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Justyn Warner on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset is distributed under NA

Hospitals Registered with MedicareThis feature layer, utilizing data from the Centers of Medicare and Medicaid Services (CMS), depicts all hospitals that are currently registered with Medicare in the U.S. Per NIH, "Since the passage of Medicare legislation in 1965, Section 1861 of the Social Security Act has stated that hospitals participating in Medicare must meet certain requirements specified in the act and that the Secretary of the Department of Health, Education and Welfare (HEW) [now the Department of Health and Human Services (DHHS)] may impose additional requirements found necessary to ensure the health and safety of Medicare beneficiaries receiving services in hospitals. On this basis, the Conditions of Participation, a set of regulations setting minimum health and safety standards for hospitals participating in Medicare, were promulgated in 1966 and substantially revised in 1986."Ascension Columbia St Mary's HospitalData currency: 11/26/2024Data modification: This data was created using the geocoding process on the CSV file.Data downloaded from: Hospital General InformationFor more information: HospitalsSupport documentation: Data dictionaryFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters of Medicare and Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

Evaluating Health Home Care Quality

CMS Core Set and Health Home SPA Measures

By Health Data New York [source]

About this dataset

This dataset provides comprehensive measures to evaluate the quality of medical services provided to Medicaid beneficiaries by Health Homes, including the Centers for Medicare & Medicaid Services (CMS) Core Set and Health Home State Plan Amendment (SPA). This allows us to gain insight into how well these health homes are performing in terms of delivering high-quality care. Our data sources include the Medicaid Data Mart, QARR Member Level Files, and New York State Delivery System Inform Incentive Program (DSRIP) Data Warehouse. With this data set you can explore essential indicators such as rates for indicators within scope of Core Set Measures, sub domains, domains and measure descriptions; age categories used; denominators of each measure; level of significance for each indicator; and more! By understanding more about Health Home Quality Measures from this resource you can help make informed decisions about evidence based health practices while also promoting better patient outcomes

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For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset contains measures that evaluate the quality of care delivered by Health Homes for the Centers for Medicare & Medicaid Services (CMS). With this dataset, you can get an overview of how a health home is performing in terms of quality. You can use this data to compare different health homes and their respective service offerings.

The data used to create this dataset was collected from Medicaid Data Mart, QARR Member Level Files, and New York State Delivery System Incentive Program (DSRIP) Data Warehouse sources.

In order to use this dataset effectively, you should start by looking at the columns provided. These include: Measurement Year; Health Home Name; Domain; Sub Domain; Measure Description; Age Category; Denominator; Rate; Level of Significance; Indicator. Each column provides valuable insight into how a particular health home is performing in various measurements of healthcare quality.

When examining this data, it is important to remember that many variables are included in any given measure and that changes may have occurred over time due to varying factors such as population or financial resources available for healthcare delivery. Furthermore, changes in policy may also affect performance over time so it is important to take these things into account when evaluating the performance of any given health home from one year to the next or when comparing different health homes on a specific measure or set of indicators over time

Research Ideas

• Using this dataset, state governments can evaluate the effectiveness of their health home programs by comparing the performance across different domains and subdomains.
• Healthcare providers and organizations can use this data to identify areas for improvement in quality of care provided by health homes and strategies to reduce disparities between individuals receiving care from health homes.
• Researchers can use this dataset to analyze how variations in cultural context, geography, demographics or other factors impact delivery of quality health home services across different locations

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: health-home-quality-measures-beginning-2013-1.csv | Column name | Description | |:--------------------------|:----------------------------------------------------| | Measurement Year | The year in which the data was collected. (Integer) | | Health Home Name | The name of the health home. (String) | | Domain | The domain of the measure. (String) | | Sub Domain | The sub domain of the measure. (String) | | Measure Description | A description of the measure. (String) | | Age Category | The age category of the patient. (String) | | Denominator | The denominator of the measure. (Integer) | | Rate | The rate of the measure. (Float) | | Level of Significance | The level of significance of the measure. (String) | | Indicator | The indicator of the measure. (String) |

Acknowledgements

...

Data consist of CMS Medicare data files which are restricted access and cannot be released publicly. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: CMS Medicare data are available from: https://www.cms.gov/data-research/files-for-order/data-disclosures-and-data-use-agreements-duas/limited-data-set-lds with the requirement of a signed Data Use Agreement. . Weather data are available at https://prism.oregonstate.edu/. Format: The data that support the findings of this study are available from the Centers for Medicare and Medicaid Services (CMS). Restrictions apply to the availability of these data, which were provided under a Data Use Agreement specific to this study. Data are available from: https://www.cms.gov/data-research/files-for-order/data-disclosures-and-data-use-agreements-duas/limited-data-set-lds with the requirement of a signed Data Use Agreement. Data do not contain personally identifiable information but contain are classified as Limited Data Set files and their distribution require an agreement and between CMS and the requester and approval by CMS. Weather data are available at https://prism.oregonstate.edu/. Because the data do not contain identifiable private information and were not obtained through interaction or intervention with individuals, the Institutional Review Board for the University of North Carolina and the US Environmental Protection Agency Human Research Protocol Officer determined that use of this data does not constitute human subjects research. This dataset is associated with the following publication: Wade, T., and C. Herbert. Weather conditions and legionellosis: a nationwide case-crossover study among Medicare recipients. EPIDEMIOLOGY AND INFECTION. Cambridge University Press, Cambridge, UK, 152: E125, (2024).

2014-2019. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, sex, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated May 2023.

Centers for Medicare & Medicaid Services - Nursing HomesThis feature layer, utilizing data from the Centers for Medicare & Medicaid Services (CMS), displays the locations of nursing homes in the U.S. Nursing homes provide a type of residential care. They are a place of residence for people who require constant nursing care and have significant deficiencies with activities of daily living. Per CMS, "Nursing homes, which include Skilled Nursing Facilities (SNFs) and Nursing Facilities (NFs), are required to be in compliance with Federal requirements to receive payment under the Medicare or Medicaid programs. The Secretary of the United States Department of Health & Human Services has delegated to the CMS and the State Medicaid Agency the authority to impose enforcement remedies against a nursing home that does not meet Federal requirements." This layer includes currently active nursing homes, including number of certified beds, address, and other information.Bridgepoint Sub-Acute and Rehab Capitol HillData downloaded: August 1, 2024Data source: Provider InformationData modification: This dataset includes only those facilities with addresses that were appropriately geocoded.For more information: Nursing homes including rehab servicesFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters for Medicare & Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

Hospitals Registered with MedicareThis feature layer, utilizing data from the Centers of Medicare and Medicaid Services (CMS), depicts all hospitals that are currently registered with Medicare in the U.S. Per NIH, "Since the passage of Medicare legislation in 1965, Section 1861 of the Social Security Act has stated that hospitals participating in Medicare must meet certain requirements specified in the act and that the Secretary of the Department of Health, Education and Welfare (HEW) [now the Department of Health and Human Services (DHHS)] may impose additional requirements found necessary to ensure the health and safety of Medicare beneficiaries receiving services in hospitals. On this basis, the Conditions of Participation, a set of regulations setting minimum health and safety standards for hospitals participating in Medicare, were promulgated in 1966 and substantially revised in 1986."Ascension Columbia St Mary's HospitalData currency: 9/22/2021Data modification: this data was created using the geocoding process on the CSV file.Data downloaded from: Hospital General InformationFor more information: HospitalsFor feedback, please contact: ArcGIScomNationalMaps@esri.comThumbnail image courtesy of Tim EvansonCenters of Medicare and Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

Context

This dataset contains CMS Part D Drug Spending and Utilization for calendar years 2015 - 2019.

Content

1) Brand Name 2) Generic Name 3) Manufacturer 4) Year 5) Total Spending 6) Total Dosage Units 7) Total Claims 8) Total Beneficiaries 9)Average Spending Per Dosage Unit 10) Average Spending Per Claim 11) Average Spending Per Beneficiary 12) Outlier Flag

Acknowledgements

Data was pulled from CMS.gov (https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Information-on-Prescription-Drugs/MedicarePartD)

Inspiration

What were the brands, manufacturers, and generic molecules with the highest total spend and total claims each year? What about the least total spending and total claims?

What are the top brands/molecules in the top manufacturers' portfolios? How have these brands evolved over time in terms of claims and total spending?

What disease categories are responsible for the majority of CMS spending on Part D drugs?

This dataset tracks the updates made on the dataset "Eligible Individuals Enrolled in Medicare Savings Programs (MSP)" as a repository for previous versions of the data and metadata.

About this dataset:

-This data is a compilation of the CMS Medicare Part B National Summary Data for CPT/HCPCS Medicine Codes 90281-99xx for 2000-2022. - The information in Part B National Summary Data Files is limited to Medicare Fee-For- Service (FFS) Part B Physician/Supplier data. It does not include information on physician/supplier services for beneficiaries in the managed care portion of the program (Medicare Advantage). -Items/columns include: year, HCPCS/CPT, total annual allowed services, total annual allowed charges, and total annual allowed payment. - These are national annual aggregates. - Note that, per CMS, fields labeled “N/A” mean that the data cannot be disclosed due to Privacy rules. Cell sizes less than 11 have been screened for privacy and replaced with N/A. A zero indicates there were no services or payments rendered for a particular code. - The .csv and .xlsx files hold the same data, just in different formats. - CPT only copyright 2000-2022 American Medical Association. All rights reserved.

Column Descriptions:

Allowed Services: A count of the number of services performed for a procedure.

Allowed Charges: The amount Medicare determines to be reasonable payment for a provider or service covered under Part B. This includes the coinsurance and deductible amounts.

Description: The category corresponding to the HCPCS code, for example: Evaluation and Management, Anesthesia, Dental Services, Pathology/Lab Tests, Chemotherapy Drugs, Medicine, etc

HCPCS (Healthcare Common Procedure Coding System): The HCPCS is a coding system for all services performed by a physician or supplier. It is based on the American Medical Association Physicians Current Procedural Terminology (CPT) codes and is augmented with codes for physician and non-physician services (such as ambulance and durable medical equipment (DME), which are not included in CPTs.

Modifiers: Modifiers denote that a certain procedure/service has been altered by a particular circumstance, but not changed in its definition, therefore the same code is used and a modifier is added to denote what has been altered.

Payment: In the Original Medicare Plan, this is the amount a doctor or supplier that accepts assignment can be paid. It includes what Medicare pays and any deductible, coinsurance, or copayment that the beneficiary must pay. It may be less than the actual amount a doctor or supplier charges.

Additional details can be found in the Medicare Part B National Summary Data Read Me files: file:///C:/Users/sybil/AppData/Local/Temp/3dce003b-ea02-4b37-aaae-c4ef3e6f43a9_PartBNational2010.zip.3a9/PartBNationalSummaryReadmeFile2010.pdf

CMS Data Disclaimer

CMS has no responsibility for the data after it has been converted, processed or otherwise altered. Data that has been manipulated or reprocessed by the user is the responsibility of the user. The user may not present data that has been altered in any way as CMS data. Any alteration of the original data, including conversion to other media or other data formats, is the responsibility of the requestor. Cell sizes less than 11 have been screened for privacy and replaced with N/A. A zero indicates there were no services or payments rendered for a particular code.

ANY USE OF THIS DATA IS AN ACCEPTANCE OF THE FOLLOWING END USER AGREEMENT:

*End User Agreement:

License for Use of Current Procedural Terminology, ANY Edition ("CPT®")

CPT codes, descriptions and other data only are copyright 1995 - 2023 American Medical Association. All rights reserved. CPT is a registered trademark of the American Medical Association (AMA).

You, your employees and agents are authorized to use CPT only as contained in the following authorized materials of Centers for Medicare and Medicaid Services (CMS) internally within your organization within the United States for the sole use by yourself, employees and agents. Use is limited to use in Medicare, Medicaid or other programs administered by CMS. You agree to take all necessary steps to insure that your employees and agents abide by the terms of this agreement.

Any use not authorized herein is prohibited, including by way of illustration and not by way of limitation, making copies of CPT for resale and/or license, transferring copies of CPT to any party not bound by this agreement, creating any modified or derivative work of CPT, or making any commercial use of CPT. License to use CPT for any use not authorized herein must be obtained through the AMA, CPT Intellectual Property Services, AMA Plaza, 330 N. Wabash Ave., Suite 39300, Chicago, IL 60611-5885. Applications are available at the AMA Web site, http://www.ama-assn.org/go/cpt. Applicable FARSDFARS Restrictions Apply to Government Use

This product includes CPT which is commercial technical data and/or computer data bases and/or commercial computer software and/or commercial c...

This historic dataset with total enrollment in separate CHIP programs by month and state was created to fulfill reporting requirements under section 1902(tt)(1) of the Social Security Act, which was added by section 5131(b) of subtitle D of title V of division FF of the Consolidated Appropriations Act, 2023 (P.L. 117-328) (CAA, 2023). For each month from April 1, 2023, through June 30, 2024, states were required to submit to CMS (on a timely basis), and CMS was required to make public, certain monthly data, including the total number of beneficiaries who were enrolled in a separate CHIP program. Accordingly, this historic dataset contains separate CHIP enrollment by month and state between April 2023 and June 2024. CMS will continue to publicly report separate CHIP enrollment by month and state (beyond the historic CAA/Unwinding period) in a new dataset, which is available at [link]. Please note that the methods used to count separate CHIP enrollees differ slightly between the two datasets; as a result, data users should exercise caution if comparing separate CHIP enrollment across the two datasets. Sources: T-MSIS Analytic Files (TAF) and state-submitted enrollment totals. The data notes indicate when a state’s monthly total was a state-submitted value, rather than from T-MSIS.TAF data were pulled as follows:April 2023 enrollment - TAF as of August 2023May 2023 enrollment - TAF as of August 2023June 2023 enrollment - TAF as of September 2023July 2023 enrollment - TAF as of October 2023August 2023 enrollment - TAF as of November 2023September 2023 enrollment - TAF as of December 2023October 2023 enrollment - TAF as of January 2024November 2023 enrollment - TAF as of February 2024December 2023 enrollment - TAF as of March 2024January 2024 enrollment - TAF as of April 2024February 2024 enrollment - TAF as of May 2024March 2024 enrollment - TAF as of June 2024April 2024 enrollment – TAF as of July 2024May 2024 enrollment – TAF as of August 2024June 2024 enrollment – TAF as of September 2024 TAF are produced one month after the T-MSIS submission month. For example, TAF as of August 2023 is based on July T-MSIS submissions. Notes: The separate CHIP enrollment in this report is not inclusive of enrollees covered by Medicaid expansion CHIP. Enrollment includes individuals enrolled in separate CHIP at any point during the month but excludes those enrolled in both Medicaid and separate CHIP during the month. See the Data Sources and Metrics Definitions Overview document for a full description of the data sources, metric definitions, and general data limitations.Alaska, District of Columbia, Hawaii, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, South Carolina, Vermont, and Wyoming do not have separate CHIP Programs. Maryland has a separate CHIP program that began in July 2023; April 2023 - June 2023 data for Maryland represents retroactive coverage. This document includes separate CHIP data submitted to CMS by states via T-MSIS or a separate collection form. These data include reporting metrics consistent with section 1902(tt)(1) of the Social Security Act.CHIP: Children's Health Insurance Program Data notes: (a) State-submitted value; data not from T-MSIS(b1) May 2023 enrollment pulled from TAF as of September 2023(b2) Data was restated using TAF as of October 2023(b3) Data was restated using TAF as of April 2024(b4) Data was restated using TAF as of July 2024(b5) Data was restated using TAF as of August 2024(c) Enrollment counts include postpartum women with coverage funded via a Health Services Initiative