18 datasets found
  1. Data from: Medicare Data

    • kaggle.com
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    Updated Feb 12, 2019
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    Centers for Medicare & Medicaid Services (2019). Medicare Data [Dataset]. https://www.kaggle.com/cms/cms-medicare
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Feb 12, 2019
    Dataset authored and provided by
    Centers for Medicare & Medicaid Services
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    In the United States, Medicare is a single-payer, national social insurance program administered by the U.S. federal government since 1966. It provides health insurance for Americans aged 65 and older who have worked and paid into the system through the payroll tax. Source: https://en.wikipedia.org/wiki/Medicare_(United_States)

    Content

    This public dataset was created by the Centers for Medicare & Medicaid Services. The data summarizes the utilization and payments for procedures, services, and prescription drugs provided to Medicare beneficiaries by specific inpatient and outpatient hospitals, physicians, and other suppliers. The dataset includes the following data.

    Common inpatient and outpatient services All physician and other supplier procedures and services All Part D prescriptions. Providers determine what they will charge for items, services, and procedures provided to patients and these charges are the amount that providers bill for an item, service, or procedure.

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:medicare

    https://cloud.google.com/bigquery/public-data/medicare

    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 is the total number of medications prescribed in each state?

    What is the most prescribed medication in each state?

    What is the average cost for inpatient and outpatient treatment in each city and state?

    Which are the most common inpatient diagnostic conditions in the United States?

    Which cities have the most number of cases for each diagnostic condition?

    What are the average payments for these conditions in these cities and how do they compare to the national average?

  2. CMS Insurance Plan Enrollment by State

    • kaggle.com
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    Updated Apr 15, 2019
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    Centers for Medicare & Medicaid Services (2019). CMS Insurance Plan Enrollment by State [Dataset]. https://www.kaggle.com/cms/cms-insurance-plan-enrollment-by-state
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    zip(10248 bytes)Available download formats
    Dataset updated
    Apr 15, 2019
    Dataset authored and provided by
    Centers for Medicare & Medicaid Services
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    The Affordable Care Act created the new Pre-Existing Condition Insurance Plan (PCIP) program to make health insurance available to Americans denied coverage by private insurance companies because of a pre-existing condition. Coverage for people living with such conditions as diabetes, asthma, cancer, and HIV/AIDS has often been priced out of the reach of most Americans who buy their own insurance, and this has resulted in a lack of coverage for millions. The temporary program covers a broad range of health benefits and is designed as a bridge for people with pre-existing conditions who cannot obtain health insurance coverage in today’s private insurance market. To learn more, visit PCIP.gov or HealthCare.gov.

    Note: * Massachusetts and Vermont are guarantee issue states that have already implemented many of the broader market reforms included in the Affordable Care Act that take effect in 2014. Existing commercial plans offering guaranteed coverage at premiums comparable to PCIP are already available in both states.

    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 Lily Banse on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  3. d

    American Rescue Plan (ARP) Rural Payments

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Jun 28, 2025
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    Centers for Disease Control and Prevention (2025). American Rescue Plan (ARP) Rural Payments [Dataset]. https://catalog.data.gov/dataset/american-rescue-plan-arp-rural-payments-c5989
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    The U.S. Department of Health and Human Services (HHS) via the Health Resources and Services Administration (HRSA) is releasing American Rescue Plan payments to providers and suppliers who have served rural Medicaid, Children's Health Insurance Program (CHIP), and Medicare beneficiaries from January 1, 2019 through September 30, 2020. The dataset will be updated as additional payments are released. Data does not reflect recipients’ attestation status, returned payments, or unclaimed funds.

  4. CMS American Indian/Alaska Native (AIAN) Health

    • kaggle.com
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    Updated Apr 15, 2019
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    Centers for Medicare & Medicaid Services (2019). CMS American Indian/Alaska Native (AIAN) Health [Dataset]. https://www.kaggle.com/cms/cms-american-indian-alaska-native-aian-health
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    zip(216038 bytes)Available download formats
    Dataset updated
    Apr 15, 2019
    Dataset authored and provided by
    Centers for Medicare & Medicaid Services
    Area covered
    Alaska, United States
    Description

    Content

    More details about each file are in the individual file descriptions.

    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.

    This dataset is distributed under the following licenses: NA

  5. Hospital General Information

    • kaggle.com
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    Updated Aug 9, 2017
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    Centers for Medicare & Medicaid Services (2017). Hospital General Information [Dataset]. https://www.kaggle.com/cms/hospital-general-information
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    zip(363110 bytes)Available download formats
    Dataset updated
    Aug 9, 2017
    Dataset authored and provided by
    Centers for Medicare & Medicaid Services
    Description

    Context

    There are all sorts of reasons why you'd want to know a hospital's quality rating.

    • Your mom is having her second hip replacement. Her first one went terribly and you're nervous about how she'll do. Which hospital would you suggest she have her surgery?
    • You're selecting a health plan on your state's Exchange, but your top two choices partner with different hospitals. How will you decide which plan to pick?
    • Your brother has Cystic Fibrosis and has to go to the ER frequently. He hates waiting. Which hospitals/states provide care in the timeliest manner?
    • Your in-laws moved to Florida recently to retire, and have been trying to convince you to move there too. You're looking for any way possible to show them that your state is better. Does your state have better hospitals?

    Every hospital in the United States of America that accepts publicly insured patients (Medicaid or MediCare) is required to submit quality data, quarterly, to the Centers for Medicare & Medicaid Services (CMS). There are very few hospitals that do not accept publicly insured patients, so this is quite a comprehensive list.

    Content

    This file contains general information about all hospitals that have been registered with Medicare, including their addresses, type of hospital, and ownership structure. It also contains information about the quality of each hospital, in the form of an overall rating (1-5, where 5 is the best possible rating & 1 is the worst), and whether the hospital scored above, same as, or below the national average for a variety of measures.

    This data was updated by CMS on July 25, 2017. CMS' overall rating includes 60 of the 100 measures for which data is collected & reported on Hospital Compare website (https://www.medicare.gov/hospitalcompare/search.html). Each of the measures have different collection/reporting dates, so it is impossible to specify exactly which time period this dataset covers. For more information about the timeframes for each measure, see: https://www.medicare.gov/hospitalcompare/Data/Data-Updated.html# For more information about the data itself, APIs and a variety of formats, see: https://data.medicare.gov/Hospital-Compare

    Acknowledgements

    Attention: Works of the U.S. Government are in the public domain and permission is not required to reuse them. An attribution to the agency as the source is appreciated. Your materials, however, should not give the false impression of government endorsement of your commercial products or services. See 42 U.S.C. 1320b-10.

    Inspiration

      Which hospital types & hospital ownerships are most common?
      Which hospital types & ownerships are associated with better than average ratings/mortality/readmission/etc?
      What is the average hospital rating, by state?
      Which hospital types & hospital ownerships are more likely to have not submitted proper data ("Not Available" & "Results are not available for this reporting period")?
      Which parts of the country have the highest & lowest density of religious hospitals?
  6. A

    Medicare FFS Jurisdiction Error Rate Contribution Data

    • data.amerigeoss.org
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    Updated Jul 28, 2019
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    United States[old] (2019). Medicare FFS Jurisdiction Error Rate Contribution Data [Dataset]. https://data.amerigeoss.org/es/dataset/medicare-ffs-jurisdiction-error-rate-contribution-data
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States[old]
    Description

    The Centers for Medicare and Medicaid Services CMS is dedicated to continually strengthening and improving the Medicare program, which provides vital services to millions of Americans. CMS uses data from the Comprehensive Error Rate Testing CERT program and other sources of information to address improper payments in the Medicare FFS program through various corrective actions. Each year, the Department of Health and Human Services Agency Financial Report outlines actions the agency will implement to prevent and reduce improper payments. CMS and the Medicare Administrative Contractors MACs aim to help improve provider compliance with Medicare FFS policies and requirements. Provider compliance is fundamental to reducing improper payment rates.
    The maps displays the 2014 and 2015 improper payment rate information for the Medicare FFS program for A-B, Home Health-Hospice, and Durable Medical Equipment DME MAC jurisdictions. The jurisdictions listed are based on the MAC jurisdictions assigned during the 2014 and 2015 Medicare FFS improper payment report periods i.e., July 1, 2012 - June 30, 2013, and July 1, 2013 - June 30, 2014, respectively. An Error Rate Contribution Score was assigned to each jurisdiction to reflect two key variables, the jurisdictions improper payment rate and share of national improper payments.

  7. HCPCS Level II

    • kaggle.com
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    Updated Feb 12, 2019
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    Centers for Medicare & Medicaid Services (2019). HCPCS Level II [Dataset]. https://www.kaggle.com/datasets/cms/cms-codes
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Feb 12, 2019
    Dataset authored and provided by
    Centers for Medicare & Medicaid Services
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Healthcare Common Procedure Coding System (HCPCS, often pronounced by its acronym as "hick picks") is a set of health care procedure codes based on the American Medical Association's Current Procedural Terminology (CPT).

    HCPCS includes three levels of codes: Level I consists of the American Medical Association's Current Procedural Terminology (CPT) and is numeric. Level II codes are alphanumeric and primarily include non-physician services such as ambulance services and prosthetic devices, and represent items and supplies and non-physician services, not covered by CPT-4 codes (Level I). Level III codes, also called local codes, were developed by state Medicaid agencies, Medicare contractors, and private insurers for use in specific programs and jurisdictions. The Health Insurance Portability and Accountability Act of 1996 (HIPAA) instructed CMS to adopt a standard coding systems for reporting medical transactions. The use of Level III codes was discontinued on December 31, 2003, in order to adhere to consistent coding standards.

    Content

    Classification of procedures performed for patients is important for billing and reimbursement in healthcare. The primary classification system used in the United States is Healthcare Common Procedure Coding System (HCPCS), maintained by Centers for Medicare and Medicaid Services (CMS). This system is divided into two levels: level I and level II.

    Level I HCPCS codes classify services rendered by physicians. This system is based on Common Procedure Terminology (CPT), a coding system maintained by the American Medical Association (AMA). Level II codes, which are the focus of this public dataset, are used to identify products, supplies, and services not included in level I codes. The level II codes include items such as ambulance services, durable medical goods, prosthetics, orthotics and supplies used outside a physician’s office.

    Given the ubiquity of administrative data in healthcare, HCPCS coding systems are also commonly used in areas of clinical research such as outcomes based research.

    Update Frequency: Yearly

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/table/bigquery-public-data:cms_codes.hcpcs

    https://cloud.google.com/bigquery/public-data/hcpcs-level2

    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 descriptions for a set of HCPCS level II codes?

  8. Weekly United States Hospitalization Metrics by Jurisdiction, During...

    • data.cdc.gov
    • odgavaprod.ogopendata.com
    • +1more
    csv, xlsx, xml
    Updated Nov 1, 2024
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    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2024). Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) (Historical)-ARCHIVED [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Weekly-United-States-Hospitalization-Metrics-by-Ju/ype6-idgy
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Nov 1, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    Note: After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 
    . This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/covid19/hospital-reporting.html

    Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).

    • Data source description(updated October 18, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient.
    • Data quality: While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data since December 1, 2020, have had error correction methodology applied; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable.
    • Metrics and inclusion criteria: Many hospital subtypes, including acute care and critical access hospitals, are included in the metric calculations included in this dataset. Psychiatric, rehabilitation, and religious non-medical hospital types, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are excluded from calculations. For a given metric calculation, hospitals that reported those data at least one day during a given week are included.
    • Find full details on NHSN hospital data reporting guidance at https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

    Notes: May 10, 2024: Due to missing hospital data for the April 28, 2024 through May 4, 2024 reporting period, data for Commonwealth of the Northern Mariana Islands (CNMI) are not available for this period in the Weekly NHSN Hospitalization Metrics report released on May 10, 2024.

    May 17, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Minnesota (MN), and Guam (GU) for the May 5,2024 through May 11, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 1, 2024.

    May 24, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), and Minnesota (MN) for the May 12, 2024 through May 18, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 24, 2024.

    May 31, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), and Minnesota (MN) for the May 19, 2024 through May 25, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 31, 2024.

    June 7, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), Guam (GU), and Minnesota (MN) for the May 26, 2024 through June 1, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 7, 2024.

    June 14, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), and Minnesota (MN) for the June 2, 2024 through June 8, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 14, 2024.

    June 21, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Guam (GU), Virgin Islands (VI), and Minnesota (MN) for the June 9, 2024 through June 15, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 21, 2024.

    June 28, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 16, 2024 through June 22, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 28, 2024.

    July 5, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 23, 2024 through June 29, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 5, 2024.

    July 12, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 30, 2024 through July 6 , 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 12, 2024.

    July 19, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 7, 2024 through July 13, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 19, 2024.

    July 26, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 13, 2024 through July 20, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 26, 2024.

    August 2, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), West Virginia (WV), and Minnesota (MN) for the July 21, 2024 through July 27, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 2, 2024.

    August 9, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Guam (GU), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 28, 2024 through August 3, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 9, 2024.

    August 16, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 4, 2024 through August 10, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 16, 2024.

    August 23, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 11, 2024 through August 17, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics

  9. Weekly United States Hospitalization Metrics by Jurisdiction, During...

    • data.cdc.gov
    • odgavaprod.ogopendata.com
    • +1more
    csv, xlsx, xml
    Updated Nov 1, 2024
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    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2024). Weekly United States Hospitalization Metrics by Jurisdiction, During Mandatory Reporting Period from August 1, 2020 to April 30, 2024, and for Data Reported Voluntarily Beginning May 1, 2024, National Healthcare Safety Network (NHSN) - ARCHIVED [Dataset]. https://data.cdc.gov/w/aemt-mg7g/tdwk-ruhb?cur=zGUVu3Y-PHy&from=K576eT_Tj4
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Nov 1, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    Note: After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 

    This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).

    • Data source description (updated October 18, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 
    • Data quality: While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data since December 1, 2020, have had error correction methodology applied; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable.
    • Metrics and inclusion criteria: Many hospital subtypes, including acute care and critical access hospitals, are included in the metric calculations included in this dataset. Psychiatric, rehabilitation, and religious non-medical hospital types, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are excluded from calculations. For a given metric calculation, hospitals that reported those data at least one day during a given week are included.
    • Find full details on NHSN Hospital Respiratory Data (HRD) reporting guidance, including additional information on bed type definitions at https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

    Notes: May 10, 2024: Due to missing hospital data for the April 28, 2024 through May 4, 2024 reporting period, data for Commonwealth of the Northern Mariana Islands (CNMI) are not available for this period in the Weekly NHSN Hospitalization Metrics report released on May 10, 2024.

    May 17, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Minnesota (MN), and Guam (GU) for the May 5,2024 through May 11, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 1, 2024.

    May 24, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), and Minnesota (MN) for the May 12, 2024 through May 18, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 24, 2024.

    May 31, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), and Minnesota (MN) for the May 19, 2024 through May 25, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 31, 2024.

    June 7, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), Guam (GU), and Minnesota (MN) for the May 26, 2024 through June 1, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 7, 2024.

    June 14, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), and Minnesota (MN) for the June 2, 2024 through June 8, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 14, 2024.

    June 21, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Guam (GU), Virgin Islands (VI), and Minnesota (MN) for the June 9, 2024 through June 15, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 21, 2024.

    June 28, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 16, 2024 through June 22, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 28, 2024.

    July 5, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 23, 2024 through June 29, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 5, 2024.

    July 12, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 30, 2024 through July 6, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 12, 2024.

    July 19, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 7, 2024 through July 13, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 19, 2024.

    July 26, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 13, 2024 through July 20, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 26, 2024.

    August 2, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), West Virginia (WV), and Minnesota (MN) for the July 21, 2024 through July 27, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 2, 2024.

    August 9, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Guam (GU), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 28, 2024 through August 3, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 9, 2024.

    August 16, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 4, 2024 through August 10, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 16, 2024.

    August 23, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 11, 2024 through August 17, 2024 reporting period are not available for the Weekly

  10. Patient socio-demographic and health characteristics.

    • plos.figshare.com
    xls
    Updated Aug 29, 2023
    + more versions
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    James X. Zhang; David O. Meltzer (2023). Patient socio-demographic and health characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0289608.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 29, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    James X. Zhang; David O. Meltzer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Patient socio-demographic and health characteristics.

  11. Observed CRN prevalence and persistence pre- and during COVID-19 pandemic (N...

    • plos.figshare.com
    xls
    Updated Aug 29, 2023
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    James X. Zhang; David O. Meltzer (2023). Observed CRN prevalence and persistence pre- and during COVID-19 pandemic (N = 677). [Dataset]. http://doi.org/10.1371/journal.pone.0289608.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 29, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    James X. Zhang; David O. Meltzer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Observed CRN prevalence and persistence pre- and during COVID-19 pandemic (N = 677).

  12. Transparency in Hospital Prices

    • kaggle.com
    zip
    Updated Sep 12, 2022
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    JohnM (2022). Transparency in Hospital Prices [Dataset]. https://www.kaggle.com/datasets/jpmiller/healthcare/discussion
    Explore at:
    zip(2311296322 bytes)Available download formats
    Dataset updated
    Sep 12, 2022
    Authors
    JohnM
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    From the Centers for Medicare & Medicaid Services: Hospital price transparency helps Americans know the cost of a hospital item or service before receiving it. Starting January 1, 2021, each hospital operating in the United States will be required to provide clear, accessible pricing information online about the items and services they provide ... This information will make it easier for consumers to shop and compare prices across hospitals and estimate the cost of care before going to the hospital.

    Although most hospitals comply with the letter of the law, it's still hard to compare costs across providers or even see the difference between charges to insurers vs cash payers. Alex Stein from DoltHub organized an effort to assemble over 300M rows from over 1800 hospitals. This dataset is the result.

  13. Table_3_American Indian and Non-Hispanic White Midlife Mortality Is...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
    + more versions
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    Mark A. Brandenburg (2023). Table_3_American Indian and Non-Hispanic White Midlife Mortality Is Associated With Medicaid Spending: An Oklahoma Ecological Study (1999–2016).DOCX [Dataset]. http://doi.org/10.3389/fpubh.2020.00139.s013
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Mark A. Brandenburg
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Oklahoma, United States
    Description

    Objective: A one third reduction of premature deaths from non-communicable diseases by 2030 is a target of the United Nations Sustainable Development Goal for Health. Unlike in other developed nations, premature mortality in the United States (US) is increasing. The state of Oklahoma suffers some of the greatest rates in the US of both all-cause mortality and overdose deaths. Medicaid opioids are associated with overdose death at the patient level, but the impact of this exposure on population all-cause mortality is unknown. The objective of this study was to look for an association between Medicaid spending, as proxy measure for Medicaid opioid exposure, and all-cause mortality rates in the 45–54-year-old American Indian/Alaska Native (AI/AN45-54) and non-Hispanic white (NHW45-54) populations.Methods: All-cause mortality rates were collected from the US Centers for Disease Control & Prevention Wonder Detailed Mortality database. Annual per capita (APC) Medicaid spending, and APC Medicare opioid claims, smoking, obesity, and poverty data were also collected from existing databases. County-level multiple linear regression (MLR) analyses were performed. American Indian mortality misclassification at death is known to be common, and sparse populations are present in certain counties; therefore, the two populations were examined as a combined population (AI/NHW45-54), with results being compared to NHW45-54 alone.Results: State-level simple linear regressions of AI/NHW45-54 mortality and APC Medicaid spending show strong, linear correlations: females, coefficient 0.168, (R2 0.956; P < 0.0001; CI95 0.15, 0.19); and males, coefficient 0.139 (R2 0.746; P < 0.0001; CI95 0.10, 0.18). County-level regression models reveal that AI/NHW45-54 mortality is strongly associated with APC Medicaid spending, adjusting for Medicare opioid claims, smoking, obesity, and poverty. In females: [R2 0.545; (F)P < 0.0001; Medicaid spending coefficient 0.137; P < 0.004; 95% CI 0.05, 0.23]. In males: [R2 0.719; (F)P < 0.0001; Medicaid spending coefficient 0.330; P < 0.001; 95% CI 0.21, 0.45].Conclusions: In Oklahoma, per capita Medicaid spending is a very strong risk factor for all-cause mortality in the combined AI/NHW45-54 population, after controlling for Medicare opioid claims, smoking, obesity, and poverty.

  14. Adjusted odds ratios of prevalence and persistence of CRN during pandemic...

    • plos.figshare.com
    xls
    Updated Aug 29, 2023
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    James X. Zhang; David O. Meltzer (2023). Adjusted odds ratios of prevalence and persistence of CRN during pandemic and correlates. [Dataset]. http://doi.org/10.1371/journal.pone.0289608.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 29, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    James X. Zhang; David O. Meltzer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adjusted odds ratios of prevalence and persistence of CRN during pandemic and correlates.

  15. d

    NCCI Medically Unlikely Edits (MUEs).

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    csv, json, rdf, xml
    Updated Jun 7, 2018
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    (2018). NCCI Medically Unlikely Edits (MUEs). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4de0b799f2d64f0cb9657dcfaa0ae5f4/html
    Explore at:
    json, csv, xml, rdfAvailable download formats
    Dataset updated
    Jun 7, 2018
    Description

    description:

    Medically Unlikely Edits (MUEs) define for each HCPCS / CPT code the maximum units of service (UOS) that a provider would report under most circumstances for a single beneficiary on a single date of service.

    Practitioner services also refers to ambulatory surgical centers.
    DME refers to provider claims for durable medical equipment.

    The CMS National Correct Coding Initiative (NCCI) promotes national correct coding methodologies and reduces improper coding which may result in inappropriate payments of Medicare Part B claims and Medicaid claims. NCCI procedure-to-procedure (PTP) edits define pairs of Healthcare Common Procedure Coding System (HCPCS)/Current Procedural Terminology (CPT) codes that should not be reported together for a variety of reasons. The purpose of the PTP edits is to prevent improper payments when incorrect code combinations are reported. The edits in this dataset are active for the dates indicated within. This file should NOT be used by state Medicaid programs as their edit file. Current Procedural Terminology (CPT) codes, descriptions and other data only are copyright 2017 American Medical Association. All rights reserved. CPT is a registered trademark of the American Medical Association. Applicable FARSDFARS Restrictions Apply to Government Use. Fee schedules, relative value units, conversion factors and/or related components are not assigned by the AMA, are not part of CPT, and the AMA is not recommending their use. The AMA does not directly or indirectly practice medicine or dispense medical services. The AMA assumes no liability for the data contained or not contained herein.

    ; abstract:

    Medically Unlikely Edits (MUEs) define for each HCPCS / CPT code the maximum units of service (UOS) that a provider would report under most circumstances for a single beneficiary on a single date of service.

    Practitioner services also refers to ambulatory surgical centers.
    DME refers to provider claims for durable medical equipment.

    The CMS National Correct Coding Initiative (NCCI) promotes national correct coding methodologies and reduces improper coding which may result in inappropriate payments of Medicare Part B claims and Medicaid claims. NCCI procedure-to-procedure (PTP) edits define pairs of Healthcare Common Procedure Coding System (HCPCS)/Current Procedural Terminology (CPT) codes that should not be reported together for a variety of reasons. The purpose of the PTP edits is to prevent improper payments when incorrect code combinations are reported. The edits in this dataset are active for the dates indicated within. This file should NOT be used by state Medicaid programs as their edit file. Current Procedural Terminology (CPT) codes, descriptions and other data only are copyright 2017 American Medical Association. All rights reserved. CPT is a registered trademark of the American Medical Association. Applicable FARSDFARS Restrictions Apply to Government Use. Fee schedules, relative value units, conversion factors and/or related components are not assigned by the AMA, are not part of CPT, and the AMA is not recommending their use. The AMA does not directly or indirectly practice medicine or dispense medical services. The AMA assumes no liability for the data contained or not contained herein.

  16. 2000-2022 Medicare Part B National Summary Data

    • kaggle.com
    zip
    Updated Jun 19, 2024
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    CLS (2024). 2000-2022 Medicare Part B National Summary Data [Dataset]. https://www.kaggle.com/datasets/chantasloma/2000-2022-medicare-part-b-national-summary-data-m1/discussion
    Explore at:
    zip(1069630 bytes)Available download formats
    Dataset updated
    Jun 19, 2024
    Authors
    CLS
    Description

    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 FARS\DFARS 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...

  17. T

    Provider Relief Fund & Accelerated and Advance Payments

    • datahub.hhs.gov
    • healthdata.gov
    • +4more
    csv, xlsx, xml
    Updated Feb 25, 2021
    + more versions
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    data.cdc.gov (2021). Provider Relief Fund & Accelerated and Advance Payments [Dataset]. https://datahub.hhs.gov/CDC/Provider-Relief-Fund-Accelerated-and-Advance-Payme/8a6h-qtdr
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    We are releasing data that compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of May 15, 2020. This data is already available on other websites, but this chart brings the information together into one view for comparison. You can find additional information on the Accelerated and Advance Payments at the following links:

    Fact Sheet: https://www.cms.gov/files/document/Accelerated-and-Advanced-Payments-Fact-Sheet.pdf;

    Zip file on providers in each state: https://www.cms.gov/files/zip/accelerated-payment-provider-details-state.zip

    Medicare Accelerated and Advance Payments State-by-State information and by Provider Type: https://www.cms.gov/files/document/covid-accelerated-and-advance-payments-state.pdf.

    This file was assembled by HHS via CMS, HRSA and reviewed by leadership and compares the HHS Provider Relief Fund and the CMS Accelerated and Advance Payments by State and provider as of December 4, 2020.

    HHS Provider Relief Fund President Trump is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security Act and the Paycheck Protection Program and Health Care Enhancement Act, which provide a total of $175 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund money and these payments do not need to be repaid. The Department allocated $50 billion of the Provider Relief Fund for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. It allocated another $22 billion to providers in areas particularly impacted by the COVID-19 outbreak, rural providers, and providers who serve low-income populations and uninsured Americans. HHS will be allocating the remaining funds in the near future.

    As part of the Provider Relief Fund distribution, all providers have 45 days to attest that they meet certain criteria to keep the funding they received, including public disclosure. As of May 15, 2020, there has been a total of $34 billion in attested payments. The chart only includes those providers that have attested to the payments by that date. We will continue to update this information and add the additional providers and payments once their attestation is complete.

    CMS Accelerated and Advance Payments Program On March 28, 2020, to increase cash flow to providers of services and suppliers impacted by the coronavirus disease 2019 (COVID-19) pandemic, the Centers for Medicare & Medicaid Services (CMS) expanded the Accelerated and Advance Payment Program to a broader group of Medicare Part A providers and Part B suppliers. Beginning on April 26, 2020, CMS stopped accepting new applications for the Advance Payment Program, and CMS began reevaluating all pending and new applications for Accelerated Payments in light of the availability of direct payments made through HHS’s Provider Relief Fund.

    Since expanding the AAP program on March 28, 2020, CMS approved over 21,000 applications totaling $59.6 billion in payments to Part A providers, which includes hospitals, through May 18, 2020. For Part B suppliers—including doctors, non-physician practitioners and durable medical equipment suppliers— during the same time period, CMS approved almost 24,000 applications advancing $40.4 billion in payments. The AAP program is not a grant, and providers and suppliers are required to repay the loan.

    CMS has published AAP data, as required by the Continuing Appropriations and Other Extensions Act of 2021, on this website: https://www.cms.gov/files/document/covid-medicare-accelerated-and-advance-payments-program-covid-19-public-health-emergency-payment.pdf

  18. ICU Beds By County in the US

    • kaggle.com
    zip
    Updated Mar 21, 2020
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    JaimeBlasco (2020). ICU Beds By County in the US [Dataset]. https://www.kaggle.com/jaimeblasco/icu-beds-by-county-in-the-us
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    zip(50243 bytes)Available download formats
    Dataset updated
    Mar 21, 2020
    Authors
    JaimeBlasco
    Area covered
    United States
    Description

    Content

    Kaiser Health News evaluated the capacity of intensive care unit (ICU) beds around the nation by first identifying the number of ICU beds each hospital reported in its most recent financial cost report, filed annually to the Centers for Medicare & Medicaid Services. KHN included beds reported in the categories of intensive care unit, surgical intensive care unit, coronary care unit and burn intensive care unit.

    KHN then totaled the ICU beds per county and matched the data with county population figures from the Census Bureau’s American Community Survey. KHN focused on the number of people 60 and older in each county because older people are considered the most likely group to require hospitalization, given their increased frailty and existing health conditions compared with younger people. For each county, KHN calculated the number of people 60 and older for each ICU bed. KHN also calculated the percentage of county population who were 60 or older.

    KHN’s ICU bed tally does not include Veterans Affairs hospitals, which are sure to play a role in treating coronavirus victims, because VA hospitals do not file cost reports. The total number of the nation’s ICU beds in the cost reports is less than the number identified by the American Hospital Association’s annual survey of hospital beds, which is the other authoritative resource on hospital characteristics. Experts attributed the discrepancies to different definitions of what qualifies as an ICU bed and other factors, and told KHN both sources were equally credible.

    Acknowledgements

    Kaiser Health News

    https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/ https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/

    Fred Schulte: fschulte@kff.org, @fredschulte

    Elizabeth Lucas: elucas@kff.org, @eklucas

    Jordan Rau: jrau@kff.org, @JordanRau

    Liz Szabo: lszabo@kff.org, @LizSzabo

    Jay Hancock: jhancock@kff.org, @JayHancock1

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Centers for Medicare & Medicaid Services (2019). Medicare Data [Dataset]. https://www.kaggle.com/cms/cms-medicare
Organization logo

Data from: Medicare Data

Medicare Data (BigQuery Dataset)

Related Article
Explore at:
zip(0 bytes)Available download formats
Dataset updated
Feb 12, 2019
Dataset authored and provided by
Centers for Medicare & Medicaid Services
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

Context

In the United States, Medicare is a single-payer, national social insurance program administered by the U.S. federal government since 1966. It provides health insurance for Americans aged 65 and older who have worked and paid into the system through the payroll tax. Source: https://en.wikipedia.org/wiki/Medicare_(United_States)

Content

This public dataset was created by the Centers for Medicare & Medicaid Services. The data summarizes the utilization and payments for procedures, services, and prescription drugs provided to Medicare beneficiaries by specific inpatient and outpatient hospitals, physicians, and other suppliers. The dataset includes the following data.

Common inpatient and outpatient services All physician and other supplier procedures and services All Part D prescriptions. Providers determine what they will charge for items, services, and procedures provided to patients and these charges are the amount that providers bill for an item, service, or procedure.

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:medicare

https://cloud.google.com/bigquery/public-data/medicare

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 is the total number of medications prescribed in each state?

What is the most prescribed medication in each state?

What is the average cost for inpatient and outpatient treatment in each city and state?

Which are the most common inpatient diagnostic conditions in the United States?

Which cities have the most number of cases for each diagnostic condition?

What are the average payments for these conditions in these cities and how do they compare to the national average?

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