data.cms.govHand-written summary
Medicare Inpatient Hospitals - by Provider
Inpatient discharges, payments and hospital charges for Original Medicare Part A patients, one row per IPPS hospital.
Freshness
- Last posted
- Period covered
- Jan 1, 2024 to Dec 31, 2024
- Update frequency
- Annually
Dates as CMS lists them in its catalog.
Before you use it
- Covers Original Medicare Part A only, at hospitals paid under IPPS.
Columns 57
| Column | What it means | Type |
|---|---|---|
Rendering Provider CCNRndrng_Prvdr_CCN | The CMS Certification Number (CCN) of the provider billing for inpatient hospital services. | string |
Rendering Provider NameRndrng_Prvdr_Org_Name | The name of the provider. | string |
Rendering Provider Street AddressRndrng_Prvdr_St | The street address in which the provider is physically located. | string |
Rendering Provider CityRndrng_Prvdr_City | The city in which the provider is physically located. | string |
Rendering Provider Zip CodeRndrng_Prvdr_Zip5 | The zip code in which the provider is physically located. | string |
Rendering Provider State AbbreviationRndrng_Prvdr_State_Abrvtn | The abbreviation for the state in which the provider is physically located. | string |
Rendering Provider State FIPS CodeRndrng_Prvdr_State_FIPS | The state FIPS code for the state in which the provider is physically located. | string |
Rendering Provider Rural-Urban Commuting Area CodesRndrng_Prvdr_RUCA | The Rural-Urban Commuting Area (RUCA) code for the zip code in which the provider is physically located. | string |
Rendering Provider Rural-Urban Commuting Area DescriptionRndrng_Prvdr_RUCA_Desc | The description of the RUCA code. | string |
Number of Medicare BeneficiariesTot_Benes | 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. | number |
Total Covered ChargesTot_Submtd_Cvrd_Chrg | 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. | number |
Total Payment AmountTot_Pymt_Amt | 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. | number |
Total Medicare Payment AmountTot_Mdcr_Pymt_Amt | 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. | number |
Total DischargesTot_Dschrgs | The number of discharges billed by the provider for inpatient hospital services. | number |
Total Covered DaysTot_Cvrd_Days | 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. | number |
Total DaysTot_Days | 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. | number |
Beneficiary Average AgeBene_Avg_Age | The average age of Medicare enrollees who used a covered health care or medical service from the provider. | number |
Number of Beneficiaries Age Less 65Bene_Age_LT_65_Cnt | 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. | number |
Number of Beneficiaries Age 65 to 74Bene_Age_65_74_Cnt | 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. | number |
Number of Beneficiaries Age 75 to 84Bene_Age_75_84_Cnt | 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. | number |
Number of Beneficiaries Age Greater 84Bene_Age_GT_84_Cnt | 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. | number |
Number of Female BeneficiariesBene_Feml_Cnt | number | |
Number of Male BeneficiariesBene_Male_Cnt | number | |
Number of Non-Hispanic White BeneficiariesBene_Race_Wht_Cnt | 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. | number |
Number of Black or African American BeneficiariesBene_Race_Black_Cnt | 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. | number |
Number of Asian Pacific Islander BeneficiariesBene_Race_API_Cnt | 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. | number |
Number of Hispanic BeneficiariesBene_Race_Hspnc_Cnt | 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. | number |
Number of American Indian/Alaska Native BeneficiariesBene_Race_NatInd_Cnt | 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. | number |
Number of Beneficiaries With Race Not Elsewhere ClassifiedBene_Race_Othr_Cnt | number | |
Number of Beneficiaries With Medicare & Medicaid EntitlementBene_Dual_Cnt | 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. | number |
Number of Beneficiaries With Medicare Only EntitlementBene_Ndual_Cnt | 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. | number |
Percent (%) Of Beneficiaries Identified With ADHD And Other Conduct DisordersBene_CC_BH_ADHD_OthCD_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Alcohol And Drug Use DisordersBene_CC_BH_Alcohol_Drug_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Tobacco Use DisordersBene_CC_BH_Tobacco_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Alzheimer's Disease And Non-Alzheimer's DementiaBene_CC_BH_Alz_NonAlzdem_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Anxiety DisordersBene_CC_BH_Anxiety_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Bipolar DisorderBene_CC_BH_Bipolar_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Depression, Bipolar Or Other Depressive Mood DisordersBene_CC_BH_Mood_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Major Depressive Affective DisorderBene_CC_BH_Depress_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Personality DisordersBene_CC_BH_PD_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Post-Traumatic Stress DisorderBene_CC_BH_PTSD_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Schizophrenia And Other Psychotic DisordersBene_CC_BH_Schizo_OthPsy_V1_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With AsthmaBene_CC_PH_Asthma_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Atrial Fibrillation And FlutterBene_CC_PH_Afib_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Combined Cancer Flag For 6 Cancer IndicatorsBene_CC_PH_Cancer6_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Chronic Kidney DiseaseBene_CC_PH_CKD_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Chronic Obstructive Pulmonary DiseaseBene_CC_PH_COPD_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With DiabetesBene_CC_PH_Diabetes_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Heart Failure And Non-Ischemic Heart DiseaseBene_CC_PH_HF_NonIHD_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With HyperlipidemiaBene_CC_PH_Hyperlipidemia_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With HypertensionBene_CC_PH_Hypertension_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Ischemic Heart DiseaseBene_CC_PH_IschemicHeart_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Osteoporosis With Or Without Pathological FractureBene_CC_PH_Osteoporosis_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Parkinson's Disease And Secondary Parkinsonism ToBene_CC_PH_Parkinson_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Rheumatoid Arthritis / OsteoarthritisBene_CC_PH_Arthritis_V2_Pct | 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%. | number |
Percent (%) Of Beneficiaries Identified With Stroke / Transient Ischemic AttackBene_CC_PH_Stroke_TIA_V2_Pct | 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%. | number |
Average HCC Risk Score of BeneficiariesBene_Avg_Risk_Scre | Average Hierarchical Condition Category (HCC) risk score of beneficiaries. | number |
No column matches that filter.
At a glance
- Catalog
- data.cms.gov
- Publisher
- Office of Enterprise Data and Analytics (OEDA)
- Rows
- 3,044
- Columns
- 57
- State column
Rndrng_Prvdr_St
API
Free, no key needed. This request returns the first 10 rows as JSON:
https://data.cms.gov/data-api/v1/dataset/ee6fb1a5-39b9-46b3-a980-a7284551a732/data?size=10
To keep only one state, filter on the Rndrng_Prvdr_St column.
Versions 12
The newest version is the one linked above. Older releases stay on the official site.
- 2024-01-01posted Apr 23, 2026
- 2023-12-01posted May 22, 2025
- 2022-12-01posted Jun 4, 2024
- 2021-12-02posted Jun 4, 2024
- 2020-12-02posted Jun 4, 2024
- 2019-12-02posted Jun 4, 2024
- 2018-12-02posted Jun 4, 2024
- 2017-12-02posted Jun 4, 2024
Show 4 older versions
- 2016-12-02posted Jun 4, 2024
- 2015-12-02posted Jun 4, 2024
- 2014-12-02posted Jun 4, 2024
- 2013-12-02posted Jun 4, 2024
CMS's 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.
Methodology and other documents from CMS:
The summary at the top was written by hand from this description. Record id cms:ee6fb1a5-39b9-46b3-a980-a7284551a732. This record as JSON.