{ "id": "cms:ee6fb1a5-39b9-46b3-a980-a7284551a732", "slug": "medicare-inpatient-hospitals-by-provider", "source": "data.cms.gov", "title": "Medicare Inpatient Hospitals - by Provider", "summary": "Inpatient discharges, payments and hospital charges for Original Medicare Part A patients, one row per IPPS hospital.", "description": "The Medicare Inpatient Hospitals by Provider dataset provides information on inpatient discharges for Original Medicare Part A beneficiaries by IPPS hospitals. It includes information on the use, payment, and hospital charges for more than 3,000 U.S. hospitals that received IPPS payments. The data are organized by hospital.", "aliases": [ "hospital discharges", "inpatient utilization by hospital" ], "keywords": [ "Medicare", "Original Medicare", "Hospitals & Facilities", "Inpatient", "Health Care Use & Payments", "Health Equity" ], "themes": [ "Medicare" ], "topics": [ "hospitals", "spending-utilization" ], "category": "provider-summary-by-type-of-service", "publisher": "Office of Enterprise Data and Analytics (OEDA)", "contact": "IPAG_Data_Products@cms.hhs.gov", "landing_url": "https://data.cms.gov/provider-summary-by-type-of-service/medicare-inpatient-hospitals/medicare-inpatient-hospitals-by-provider", "csv_url": "https://data.cms.gov/sites/default/files/2026-04/d9525c59-002b-45b3-af22-c81061a62dcd/mup_inp_ry26_p04_v10_dy24_prv.csv", "api_url": "https://data.cms.gov/data-api/v1/dataset/ee6fb1a5-39b9-46b3-a980-a7284551a732/data", "api_kind": "cms-data-api", "preview_url": "https://data.cms.gov/data-api/v1/dataset/ee6fb1a5-39b9-46b3-a980-a7284551a732/data?size=10", "dictionary_url": "https://data.cms.gov/resources/medicare-inpatient-hospitals-by-provider-data-dictionary", "dictionary_kind": "page", "methodology_urls": [ "https://data.cms.gov/resources/medicare-inpatient-hospitals-methodology" ], "state_column": "Rndrng_Prvdr_St", "row_count": 3044, "posted": "2026-04-23", "modified": "2026-04-23", "period_start": "2013-01-01", "period_end": "2024-12-31", "latest_period": "2024-01-01 to 2024-12-31", "cadence": "annually", "next_update": null, "versions": [ { "label": "2024-01-01", "uuid": "ee6fb1a5-39b9-46b3-a980-a7284551a732", "posted": "2026-04-23", "period_start": "2024-01-01", "period_end": "2024-12-31" }, { "label": "2023-12-01", "uuid": "ad17abc4-0e93-4828-bba5-e8f39ddafbdb", "posted": "2025-05-22", "period_start": "2023-01-01", "period_end": "2023-12-31" }, { "label": "2022-12-01", "uuid": "cc73e77b-7367-48c9-b766-fafefe3f8ffa", "posted": "2024-06-04", "period_start": "2022-01-01", "period_end": "2022-12-31" }, { "label": "2021-12-02", "uuid": "c7e1501c-a770-4e2a-beb6-32b3525491a7", "posted": "2024-06-04", "period_start": "2021-01-01", "period_end": "2021-12-31" }, { "label": "2020-12-02", "uuid": "d7b2810d-ac10-498f-8794-1c3d9f72ee96", "posted": "2024-06-04", "period_start": "2020-01-01", "period_end": "2020-12-31" }, { "label": "2019-12-02", "uuid": "c349419e-3c6a-419e-8c74-0641b64cca12", "posted": "2024-06-04", "period_start": "2019-01-01", "period_end": "2019-12-31" }, { "label": "2018-12-02", "uuid": "f8f65555-1540-44ef-9808-a64f29b15570", "posted": "2024-06-04", "period_start": "2018-01-01", "period_end": "2018-12-31" }, { "label": "2017-12-02", "uuid": "be4e1a28-8afe-40c3-8d8f-6dba7c539b64", "posted": "2024-06-04", "period_start": "2017-01-01", "period_end": "2017-12-31" }, { "label": "2016-12-02", "uuid": "f0fb93a4-3475-42de-b264-9a1e785f1ea4", "posted": "2024-06-04", "period_start": "2016-01-01", "period_end": "2016-12-31" }, { "label": "2015-12-02", "uuid": "5cae9291-4be8-4e3c-94f6-27aaf20c9ded", "posted": "2024-06-04", "period_start": "2015-01-01", "period_end": "2015-12-31" }, { "label": "2014-12-02", "uuid": "b685142b-cc56-4ff1-98f1-06bddf2787f1", "posted": "2024-06-04", "period_start": "2014-01-01", "period_end": "2014-12-31" }, { "label": "2013-12-02", "uuid": "c5a33eaf-a076-4513-b057-4d10803deca8", "posted": "2024-06-04", "period_start": "2013-01-01", "period_end": "2013-12-31" } ], "columns": [ { "name": "Rndrng_Prvdr_CCN", "label": "Rendering Provider CCN", "type": "string", "meaning": "The CMS Certification Number (CCN) of the provider billing for inpatient hospital services.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_Org_Name", "label": "Rendering Provider Name", "type": "string", "meaning": "The name of the provider.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_St", "label": "Rendering Provider Street Address", "type": "string", "meaning": "The street address in which the provider is physically located.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_City", "label": "Rendering Provider City", "type": "string", "meaning": "The city in which the provider is physically located.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_Zip5", "label": "Rendering Provider Zip Code", "type": "string", "meaning": "The zip code in which the provider is physically located.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_State_Abrvtn", "label": "Rendering Provider State Abbreviation", "type": "string", "meaning": "The abbreviation for the state in which the provider is physically located.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_State_FIPS", "label": "Rendering Provider State FIPS Code", "type": "string", "meaning": "The state FIPS code for the state in which the provider is physically located.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_RUCA", "label": "Rendering Provider Rural-Urban Commuting Area Codes", "type": "string", "meaning": "The Rural-Urban Commuting Area (RUCA) code for the zip code in which the provider is physically located.", "source": "cms-dictionary" }, { "name": "Rndrng_Prvdr_RUCA_Desc", "label": "Rendering Provider Rural-Urban Commuting Area Description", "type": "string", "meaning": "The description of the RUCA code.", "source": "cms-dictionary" }, { "name": "Tot_Benes", "label": "Number of Medicare Beneficiaries", "type": "number", "meaning": "Total Medicare beneficiaries receiving services from the provider. The beneficiary counts reported in the demographic sub-groups (i.e., age, sex, race and entitlement) may not aggregate to the ‘Number of Unique Beneficiaries’ due to the suppression of beneficiaries fewer than 11 within the demographic sub-groups. In addition, a small percentage of beneficiaries are reflected in the “Number of Unique Beneficiaries” but are not reflected in the beneficiary demographic information due to the lack of demographic information available at the time of reporting.", "source": "cms-dictionary" }, { "name": "Tot_Submtd_Cvrd_Chrg", "label": "Total Covered Charges", "type": "number", "meaning": "The total submitted charge of all provider services covered by Medicare. Submitted charges will vary from hospital to hospital because of differences in hospital charge structures.", "source": "cms-dictionary" }, { "name": "Tot_Pymt_Amt", "label": "Total Payment Amount", "type": "number", "meaning": "The total payments to providers for the DRG including the MS-DRG amount, teaching, disproportionate share, capital, and outlier payments for all cases. Also included in total payments are co-payment and deductible amounts that the patient is responsible for and any additional payments by third parties for coordination of benefits.", "source": "cms-dictionary" }, { "name": "Tot_Mdcr_Pymt_Amt", "label": "Total Medicare Payment Amount", "type": "number", "meaning": "The total amount that Medicare pays to the provider for Medicare's share of the MS-DRG. Medicare payment amounts include the MS-DRG amount, teaching, disproportionate share, capital, and outlier payments for all cases. Medicare payments DO NOT include beneficiary co- payments and deductible amounts nor any additional payments from third parties for coordination of benefits.", "source": "cms-dictionary" }, { "name": "Tot_Dschrgs", "label": "Total Discharges", "type": "number", "meaning": "The number of discharges billed by the provider for inpatient hospital services.", "source": "cms-dictionary" }, { "name": "Tot_Cvrd_Days", "label": "Total Covered Days", "type": "number", "meaning": "The total number of days of care, per provider, which were covered in full or in part by Hospital Insurance (HI) Medicare benefits; excluded are days of care prior to a beneficiary's entitlement to HI benefits, and days of care after exhaustion of benefits.", "source": "cms-dictionary" }, { "name": "Tot_Days", "label": "Total Days", "type": "number", "meaning": "The accumulated count of days, per provider, during which inpatient hospital services were furnished to a person eligible for Part A benefits under Medicare, including covered and non-covered days of care.", "source": "cms-dictionary" }, { "name": "Bene_Avg_Age", "label": "Beneficiary Average Age", "type": "number", "meaning": "The average age of Medicare enrollees who used a covered health care or medical service from the provider.", "source": "cms-dictionary" }, { "name": "Bene_Age_LT_65_Cnt", "label": "Number of Beneficiaries Age Less 65", "type": "number", "meaning": "Number of beneficiaries under the age of 65. Beneficiary age is calculated at the end of the calendar year or at the time of death.", "source": "cms-dictionary" }, { "name": "Bene_Age_65_74_Cnt", "label": "Number of Beneficiaries Age 65 to 74", "type": "number", "meaning": "Number of beneficiaries between the ages of 65 and 74. Beneficiary age is calculated at the end of the calendar year or at the time of death.", "source": "cms-dictionary" }, { "name": "Bene_Age_75_84_Cnt", "label": "Number of Beneficiaries Age 75 to 84", "type": "number", "meaning": "Number of beneficiaries between the ages of 75 and 84. Beneficiary age is calculated at the end of the calendar year or at the time of death.", "source": "cms-dictionary" }, { "name": "Bene_Age_GT_84_Cnt", "label": "Number of Beneficiaries Age Greater 84", "type": "number", "meaning": "Number of beneficiaries over the age of 84. Beneficiary age is calculated at the end of the calendar year or at the time of death.", "source": "cms-dictionary" }, { "name": "Bene_Feml_Cnt", "label": "Number of Female Beneficiaries", "type": "number", "meaning": "Number of female beneficiaries.", "source": "cms-dictionary" }, { "name": "Bene_Male_Cnt", "label": "Number of Male Beneficiaries", "type": "number", "meaning": "Number of male beneficiaries.", "source": "cms-dictionary" }, { "name": "Bene_Race_Wht_Cnt", "label": "Number of Non-Hispanic White Beneficiaries", "type": "number", "meaning": "Number of non-Hispanic white beneficiaries. Race/ethnicity information is based on the variable RTI_RACE_CD from the CMS CCW enrollment database. The RTI_RACE_CD variable is based upon a validated algorithm that uses Census surname lists and geography to improve the accuracy of race/ethnicity classification, particularly for those who are Hispanic or Asian/Pacific Islanders.", "source": "cms-dictionary" }, { "name": "Bene_Race_Black_Cnt", "label": "Number of Black or African American Beneficiaries", "type": "number", "meaning": "Number of non-Hispanic black or African American beneficiaries. Race/ethnicity information is based on the variable RTI_RACE_CD from the CMS CCW enrollment database. The RTI_RACE_CD variable is based upon a validated algorithm that uses Census surname lists and geography to improve the accuracy of race/ethnicity classification, particularly for those who are Hispanic or Asian/Pacific Islanders.", "source": "cms-dictionary" }, { "name": "Bene_Race_API_Cnt", "label": "Number of Asian Pacific Islander Beneficiaries", "type": "number", "meaning": "Number of Asian Pacific Islander beneficiaries. Race/ethnicity information is based on the variable RTI_RACE_CD from the CMS CCW enrollment database. The RTI_RACE_CD variable is based upon a validated algorithm that uses Census surname lists and geography to improve the accuracy of race/ethnicity classification, particularly for those who are Hispanic or Asian/Pacific Islanders.", "source": "cms-dictionary" }, { "name": "Bene_Race_Hspnc_Cnt", "label": "Number of Hispanic Beneficiaries", "type": "number", "meaning": "Number of Hispanic beneficiaries. Race/ethnicity information is based on the variable RTI_RACE_CD from the CMS CCW enrollment database. The RTI_RACE_CD variable is based upon a validated algorithm that uses Census surname lists and geography to improve the accuracy of race/ethnicity classification, particularly for those who are Hispanic or Asian/Pacific Islanders.", "source": "cms-dictionary" }, { "name": "Bene_Race_NatInd_Cnt", "label": "Number of American Indian/Alaska Native Beneficiaries", "type": "number", "meaning": "Number of American Indian or Alaska Native beneficiaries. Race/ethnicity information is based on the variable RTI_RACE_CD from the CMS CCW enrollment database. The RTI_RACE_CD variable is based upon a validated algorithm that uses Census surname lists and geography to improve the accuracy of race/ethnicity classification, particularly for those who are Hispanic or Asian/Pacific Islanders.", "source": "cms-dictionary" }, { "name": "Bene_Race_Othr_Cnt", "label": "Number of Beneficiaries With Race Not Elsewhere Classified", "type": "number", "meaning": "Number of beneficiaries with race not elsewhere classified.", "source": "cms-dictionary" }, { "name": "Bene_Dual_Cnt", "label": "Number of Beneficiaries With Medicare & Medicaid Entitlement", "type": "number", "meaning": "Number of Medicare beneficiaries qualified to receive Medicare and Medicaid benefits. Beneficiaries are classified as Medicare and Medicaid entitlement if in any month in the given calendar year they were receiving full or partial Medicaid benefits.", "source": "cms-dictionary" }, { "name": "Bene_Ndual_Cnt", "label": "Number of Beneficiaries With Medicare Only Entitlement", "type": "number", "meaning": "Number of Medicare beneficiaries qualified to receive Medicare only benefits. Beneficiaries are classified as Medicare only entitlement if they received zero months of any Medicaid benefits (full or partial) in the given calendar year.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_ADHD_OthCD_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With ADHD And Other Conduct Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for ADHD and other conduct disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Alcohol_Drug_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Alcohol And Drug Use Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithms for both alcohol use disorder and/or drug use disorder. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Tobacco_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Tobacco Use Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for tobacco use disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Alz_NonAlzdem_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Alzheimer's Disease And Non-Alzheimer's Dementia", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithms for both Alzheimer's disease and/or non-Alzheimer's dementia. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithms for Alzheimer's disease and non-Alzheimer's dementia. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Anxiety_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Anxiety Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for anxiety disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Bipolar_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Bipolar Disorder", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for bipolar disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Mood_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Depression, Bipolar Or Other Depressive Mood Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for depression and other depressive mood disorders. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for depressive and other depressive mood disorders. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Depress_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Major Depressive Affective Disorder", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for major depressive affective disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_PD_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Personality Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for personality disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_PTSD_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Post-Traumatic Stress Disorder", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for post-traumatic stress disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_BH_Schizo_OthPsy_V1_Pct", "label": "Percent (%) Of Beneficiaries Identified With Schizophrenia And Other Psychotic Disorders", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for schizophrenia and other psychotic disorders. Please note that this condition was not updated as part of the 2020 technical expert panel (TEP) to refine and enhance chronic conditions algorithms, hence the V1 component of the variable name. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-other. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Asthma_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Asthma", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithms for asthma. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for asthma. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Afib_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Atrial Fibrillation And Flutter", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for atrial fibrillation/flutter. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for atrial fibrillation/flutter. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Cancer6_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Combined Cancer Flag For 6 Cancer Indicators", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithms for six cancer types; includes breast cancer, colorectal cancer, endometrial cancer, lung cancer, prostate cancer and urological cancer. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_CKD_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Chronic Kidney Disease", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithms for chronic kidney disease. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for chronic kidney disease. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_COPD_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Chronic Obstructive Pulmonary Disease", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for COPD. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for COPD. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Diabetes_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Diabetes", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for diabetes. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for diabetes. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_HF_NonIHD_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Heart Failure And Non-Ischemic Heart Disease", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for heart failure/non-ischemic heart disease. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for heart failure/non-ischemic heart disease. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Hyperlipidemia_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Hyperlipidemia", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for hyperlipidemia. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for hyperlipidemia. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Hypertension_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Hypertension", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for hypertension. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for hypertension. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_IschemicHeart_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Ischemic Heart Disease", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for ischemic heart disease. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for ischemic heart disease. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Osteoporosis_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Osteoporosis With Or Without Pathological Fracture", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for osteoporosis. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for osteoporosis. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Parkinson_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Parkinson's Disease And Secondary Parkinsonism To", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for Parkinson's disease/secondary parkinsonism. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for Parkinson's disease/secondary parkinsonism. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Arthritis_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Rheumatoid Arthritis / Osteoarthritis", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for rheumatoid arthritis/osteoarthritis. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for rheumatoid arthritis/osteoarthritis. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_CC_PH_Stroke_TIA_V2_Pct", "label": "Percent (%) Of Beneficiaries Identified With Stroke / Transient Ischemic Attack", "type": "number", "meaning": "Percent of beneficiaries meeting the CCW chronic condition algorithm for stroke/transient ischemic attack. In 2020, CMS contracted an technical expert panel (TEP) to refine and enhance the chronic condition algorithms, including the algorithm for stroke/transient ischemic attack. The V2 portion of the variable name indicates that this variable was updated as part of the TEP. Chronic condition metrics are only available for file years 2017 forward. For more details on this condition, see https://www2.ccwdata.org/web/guest/condition-categories-chronic. To protect the privacy of Medicare beneficiaries, the number of beneficiaries fewer than 11 have been suppressed and the percent of beneficiaries between 75% and 100% have been top-coded at 75%.", "source": "cms-dictionary" }, { "name": "Bene_Avg_Risk_Scre", "label": "Average HCC Risk Score of Beneficiaries", "type": "number", "meaning": "Average Hierarchical Condition Category (HCC) risk score of beneficiaries.", "source": "cms-dictionary" } ], "caveats": [ "Covers Original Medicare Part A only, at hospitals paid under IPPS." ], "curated": true, "license": "https://www.usa.gov/government-works", "detail_key": "ee6fb1a5-39b9-46b3-a980-a7284551a732|2026-04-23", "checked": "2026-10-25", "source_name": "data.cms.gov" }