Dataplex: All CMS Data Feeds | Access 1519 Reports & 26B+ Rows of Data | Perfect for Historical Analysis & Easy Ingestion product image in hero

Dataplex: All CMS Data Feeds | Access 1519 Reports & 26B+ Rows of Data | Perfect for Historical Analysis & Easy Ingestion

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ROW_ID
FILE_ID
FILE_FEED_ID
FILE_NAME
ROWNUM
ENROLLMENT_ID
LEGAL_BUSINESS_NAME
STREET_ADDRESS_LINE_1
STREET_ADDRESS_LINE_2
CITY
STATE
ZIP_CODE
PRACTICE_LOCATION_PHONE_NUMBER
SPECIALTY_NAME
GEOGRAPHIC_LOCATION_TYPE_DESCRIPTION
GEOGRAPHIC_LOCATION_CITY_NAME
GEOGRAPHIC_LOCATION_STATE_CODE
GEOGRAPHIC_LOCATION_ZIP_CODE
STATE_COUNTY_NAME
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Volume
1.5K
+ Aligned Reports
Data Quality
100%
columns aligned and cleaned
Avail. Format
.csv
File
Coverage
1
Country
History
14
years

Data Dictionary

[Sample] Fee Schedules
Attribute Type Example Mapping
ROW_ID
String 032d0221-e8dd-58f5-9c67-ce635a38a6fa
FILE_ID
String 6807268a808fc7f3de3778020f2ace6d
FILE_FEED_ID
String 911c2e41be7b5721cfaf74c02eb82b4e
FILE_NAME
String ZIP5_DEC16_FINAL.csv
ROWNUM
Integer 1
STATE
String AK
ZIP_CODE
Float 99501.0
CARRIER
Float 2102.0
LOCALITY
Float 1.0
RURAL_IND
LAB_CB_LOCALITY
String Z9
RURAL_IND2
PLUS_4_FLAG
Float 0.0
PART_B_DRUG_INDICATOR
String A
YEAR_QTR
Float 20164.0
[Sample] Home Infusion Therapy Providers
Attribute Type Example Mapping
ROW_ID
String 5c3b89f9-08e9-5d4d-b1c8-0939a267d73d
FILE_ID
String 61bb4e6c-6dc8-528e-9961-9d1285188818
FILE_FEED_ID
String e1b23df2-0c91-5bcd-b299-3c2ab4e10e28
FILE_NAME
String Home%20Infusion%20Therapy%2009.14.2023.csv
ROWNUM
Integer 1
ENROLLMENT_ID
String O20201116001628
LEGAL_BUSINESS_NAME
String CRESCENT HEALTHCARE INC
STREET_ADDRESS_LINE_1
String 5431 SW 35TH DR
STREET_ADDRESS_LINE_2
String STE 200
CITY
String GAINESVILLE
STATE
String FL
ZIP_CODE
String 32608-5277
PRACTICE_LOCATION_PHONE_NUMBER
String (844) 373-8389
SPECIALTY_NAME
String HOME INFUSION THERAPY
GEOGRAPHIC_LOCATION_TYPE_DESCRIPTION
String RENDERING AREA
GEOGRAPHIC_LOCATION_CITY_NAME
String --
GEOGRAPHIC_LOCATION_STATE_CODE
String FL
GEOGRAPHIC_LOCATION_ZIP_CODE
String --
STATE_COUNTY_NAME
String --
[Sample] Pioneer Aco Model
Attribute Type Example Mapping
ROW_ID
String 3d3de0b6-1500-52c0-aef3-df17422ef4d4
FILE_ID
String 11025010-9705-5d67-a05f-e256d0bf4a8e
FILE_FEED_ID
String cbd81a11-4cd9-57a4-ada5-8b296e187227
FILE_NAME
String PIONEER_PY5_PUF1.csv
ROWNUM
Integer 1
ACO_ID
String P012
ACO_NAME
String Monarch HealthCare
PERF_YR
Integer 2016
PBP_ELECTION
String None
BENE_CT
Integer 19981
MNTH_PY
Integer 234058
BNMRK_EXPND
Float 266210244.5
PERF_YR_EXPND
Float 264528023.5
GROSS_SAVINGS
Float 1497849.45
SHARED_SAVINGS
QUAL_SCRE
Float 0.902
MNTH_AD_BY1
Integer 33742
EXPND_AD_BY1
Float 36174994.7
RISK_SCRE_AD_BY1
Float 0.958
MNTH_AD_BY2
Integer 33965
EXPND_AD_BY2
Float 39755642.3
RISK_SCRE_AD_BY2
Float 0.977
MNTH_AD_BY3
Integer 34339
EXPND_AD_BY3
Float 35919742.35
RISK_SCRE_AD_BY3
Float 1.012
BNMRK_AD
Float 30497816.91
RISK_SCRE_AD_PY
Float 1.008
MNTH_AN_BY1
Integer 153594
EXPND_AN_BY1
Float 147316052.7
RISK_SCRE_AN_BY1
Float 1.05
MNTH_AN_BY2
Integer 156519
EXPND_AN_BY2
Float 148962789.9
RISK_SCRE_AN_BY2
Float 1.056
MNTH_AN_BY3
Integer 161855
EXPND_AN_BY3
Float 160069563.2
RISK_SCRE_AN_BY3
Float 1.091
BNMRK_AN
Float 199167525.3
RISK_SCRE_AN_PY
Float 1.061
MNTH_DISA_BY1
Integer 18014
EXPND_DISA_BY1
Float 22842888.89
RISK_SCRE_DISA_BY1
Float 1.182
MNTH_DISA_BY2
Integer 18653
EXPND_DISA_BY2
Float 22254624.86
RISK_SCRE_DISA_BY2
Float 1.174
MNTH_DISA_BY3
Integer 18352
EXPND_DISA_BY3
Float 22231863.61
RISK_SCRE_DISA_BY3
Float 1.209
BNMRK_DISA
Float 21111076.47
RISK_SCRE_DISA_PY
Float 1.151
MNTH_ESRD_BY1
Integer 1652
EXPND_ESRD_BY1
Float 13157085.56
RISK_SCRE_ESRD_BY1
Float 1.02
MNTH_ESRD_BY2
Integer 1880
EXPND_ESRD_BY2
Float 14278045.0
RISK_SCRE_ESRD_BY2
Float 1.029
MNTH_ESRD_BY3
Integer 1889
EXPND_ESRD_BY3
Float 15296251.27
RISK_SCRE_ESRD_BY3
Float 1.03
BNMRK_ESRD
Float 15433825.74
RISK_SCRE_ESRD_PY
Float 1.033
EXPND_HHA
Float 17225035.3
EXPND_SNF
Float 25163939.23
EXPND_OUTP
Float 32908148.13
EXPND_HOSP
Float 12965386.88
EXPND_INP
Float 83819933.63
EXPND_PROF
Float 88435835.54
EXPND_DME
Float 4009744.8
PRFM_YR
CMMI_NAME
PRVDR_CT
PRAC_CT
PROF_PRAC_CT
INST_PRAC_CT
PROF_PRVDR_CT
PAR_FAC_CT
PCP_PRVDR_CT
ALGN_COUNT
AGED_COUNT
DISABLED_COUNT
ESRD_COUNT
MALE_COUNT
FEMALE_COUNT
AGE_LT65_COUNT
AGE_6569_COUNT
AGE_7079_COUNT
AGE_GE80
EXP_TOT
EXP_NCH10
EXP_NCH20
EXP_NCH30
EXP_NCH40
EXP_NCH50
EXP_NCH60
EXP_NCH71
EXP_NCH72
EXP_NCH81
EXP_NCH82
STLMNT_DT
ALGND_BENE_CT
ALGND_BENE_MNTHS
ACO_BASELINE_PBPY
ADJ_REF_BASELINE_PBPY
ADJ_REF_PERFYEAR_PBPY
REF_PBPY_CHNG
REF_PBPY_TRND
ACO_PBPY_TRND_CMPNT
ACO_BLND_PBPY_INCR
ACO_BNMRK_PBPY
ACO_PERFYEAR_PBPY
GROSS_SAVINGS_PBPY
BNCHMRK_EXPEND
ACO_PERFYEAR_EXPND
PERFYEAR_QUAL_SCRE
QLTY_ADJ_SSL_RATE
BNCH_MTHD
AWI_GPCI_ADJ
RISK_ARNGMNT
MSR
[Sample] Countylevel Aggregate Expenditure And Risk Score Data On Assignable Beneficiaries
Attribute Type Example Mapping
ROW_ID
String a119c2d1-1bda-5f8c-b84a-3cb98e7a1a64
FILE_ID
String 050b316f-18be-5a7f-9a87-365d12ec574d
FILE_FEED_ID
String 048ddce6-0468-506f-b4d3-1ad7e7059463
FILE_NAME
String County_Level%20FFS_Data_for_Shared_Savings_Program_Benchm...
ROWNUM
Integer 1
YEAR
Integer 2021
STATE_NAME
String Alabama
COUNTY_NAME
String Autauga
STATE_ID
Integer 1
COUNTY_ID
Integer 0
PER_CAPITA_EXP_ESRD
Float 65037.23
AVG_RISK_SCORE_ESRD
Float 0.96432
PERSON_YEARS_ESRD
Float 33.58
PER_CAPITA_EXP_DIS
Float 8366.2
AVG_RISK_SCORE_DIS
Float 0.91364
PERSON_YEARS_DIS
Float 498.33
PER_CAPITA_EXP_AGDU
Float 20447.27
AVG_RISK_SCORE_AGDU
Float 0.91945
PERSON_YEARS_AGDU
Float 102.67
PER_CAPITA_EXP_AGND
Float 9951.78
AVG_RISK_SCORE_AGND
Float 1.02646
PERSON_YEARS_AGND
Float 2882.17
[Sample] Medicare Outpatient Hospitals By Provider And Service
Attribute Type Example Mapping
ROW_ID
String 3a3d548a-e8ee-5120-b644-e01bd9e29717
FILE_ID
String 01d144e3-fece-549d-a8b5-53760f679a00
FILE_FEED_ID
String 15e6377f-4909-5680-8f48-31b8a52cbd7f
FILE_NAME
String MUP_OUT_RY22_P04_V10_DY20_Prov_Svc.csv
ROWNUM
Integer 1
RNDRNG_PRVDR_CCN
Integer 10001
RNDRNG_PRVDR_ORG_NAME
String Southeast Health Medical Center
RNDRNG_PRVDR_ST
String 1108 Ross Clark Circle
RNDRNG_PRVDR_CITY
String Dothan
RNDRNG_PRVDR_STATE_ABRVTN
String AL
RNDRNG_PRVDR_STATE_FIPS
Integer 1
RNDRNG_PRVDR_ZIP5
Integer 36301
RNDRNG_PRVDR_RUCA
Float 1.0
RNDRNG_PRVDR_RUCA_DESC
String Metropolitan area core: primary flow within an urbanized ...
APC_CD
Integer 5072
APC_DESC
String Level 2 Excision/ Biopsy/ Incision and Drainage
BENE_CNT
Integer 155
CAPC_SRVCS
Integer 167
AVG_TOT_SBMTD_CHRGS
Float 10371.8099401197
AVG_MDCR_ALOWD_AMT
Float 1282.45904191616
AVG_MDCR_PYMT_AMT
Float 1020.32730538921
OUTLIER_SRVCS
Integer 0
AVG_MDCR_OUTLIER_AMT
Float 0.0
[Sample] Feeds
Attribute Type Example Mapping
String *####*##-****-#*#*-#***-#***###**#*# MAID
TITLE
String ACO Realizing Equity, Access and Community Health Aligned...
DESCRIPTION
String The Accountable Care Organization Realizing Equity, Acces...
REFERENCES
String [ "https://data.cms.gov/resources/aco-realizing-equity-...
ACCURAL_PERIODICITY
String R/P1Y
DOCUMENTATION
String https://data.cms.gov/resources/aco-reach-aligned-benefici...
TEMPORAL_START
DateTime 2021-01-01T00:00:00+00:00
TEMPORAL_END
DateTime 2021-01-01T00:00:00+00:00
CONTACT_FN
String ACO REACH - CMMI
CONTACT_EMAIL
String ********@***.***.***
KEYWORDS
String [ "Medicare", "Original Medicare", "Value-Based Car...
THEME
String [ "Medicare" ]
VIEW_NAME
String ACO_Realizing_Equity_Access_and_Community_Health_Aligned_...
VIEW_LAST_UPDATED
DateTime 2023-08-30T00:00:00+00:00
CREATED_AT
String 2023-08-29 18:19:32.128 Z
UPDATED_AT
String 2024-08-29 09:08:41.350 Z
[Sample] Feeds Files
Attribute Type Example Mapping
String ###*###*-##**-#*#*-#*##-###*##**###* MAID
FEED_ID
String 048ddce6-0468-506f-b4d3-1ad7e7059463
TEMPORAL_START
DateTime 2021-01-01T00:00:00+00:00
TEMPORAL_END
DateTime 2021-12-31T00:00:00+00:00
CMS_FEED_MODIFIED
DateTime 2022-09-20T00:00:00+00:00
CREATED_AT
String 2023-08-29 18:19:58.985 Z
UPDATED_AT
String 2024-08-29 09:08:45.195 Z
[Sample] Hospice Enrollments
Attribute Type Example Mapping
ROW_ID
String fe1594b3-e090-52ce-bd77-1ddbc6334d9f
FILE_ID
String 0c20daf6-ed29-5ce0-a6db-ec282920a95d
FILE_FEED_ID
String f146bedf-a0a9-5950-afdc-d51dfc82c3ec
FILE_NAME
String Hospice_Enrollments_2023.07.06.csv
ROWNUM
Integer 1
ENROLLMENT_ID
String O20020813000008
ENROLLMENT_STATE
String KS
PROVIDER_TYPE_CODE
String 00-08
PROVIDER_TYPE_TEXT
String PART A PROVIDER - HOSPICE
NPI
Integer 1144260498
MULTIPLE_NPI_FLAG
Boolean f
CCN
Integer 171523
ASSOCIATE_ID
Integer 3274440268
ORGANIZATION_NAME
String HOSPITAL DISTRICT NO 1 OF DICKINSON COUNTY KANSAS
DOING_BUSINESS_AS_NAME
String HOSPICE OF DICKINSON COUNTY
INCORPORATION_DATE
DateTime 1959-12-07T00:00:00+00:00
INCORPORATION_STATE
String KS
ORGANIZATION_TYPE_STRUCTURE
String OTHER
ORGANIZATION_OTHER_TYPE_TEXT
String GOVERNMENTAL
PROPRIETARY_NONPROFIT
Boolean f
ADDRESS_LINE_1
String 1111 N BRADY ST
ADDRESS_LINE_2
String STE B
CITY
String ABILENE
STATE
String KS
ZIP_CODE
Integer 674101804
[Sample] Opioid Treatment Program Providers
Attribute Type Example Mapping
ROW_ID
String fb0df623-451e-5c2f-9c62-bd267f2bea1a
FILE_ID
String c48bf75f-cd18-554c-9047-bcd95d9ba821
FILE_FEED_ID
String e5ce7316-41f4-52fa-b505-bcfbc34f55b6
FILE_NAME
String OPIOID_TREATMENT_PROGRAM_PROVIDERS_06172024.csv
ROWNUM
Integer 1
NPI
String 1003081399 1013055110
PROVIDER_NAME
String BAART BEHAVIORAL HEALTH SERVICES IN
ADDRESS_LINE_1
String 617 COMSTOCK RD
ADDRESS_LINE_2
String STE 5
CITY
String BERLIN
STATE
String VT
ZIP
String 05602-8498
MEDICARE_ID_EFFECTIVE_DATE
DateTime 2020-01-01T00:00:00+00:00
PHONE
Integer ##########
[Sample] Medicare Geographic Variation By National State County
Attribute Type Example Mapping
ROW_ID
String e104708c-a044-59e9-8b85-903338b99f08
FILE_ID
String 9fbc4d2c-300c-5293-a3c6-39d68cbb85f1
FILE_FEED_ID
String e020ae50-acda-553a-8eff-60265a3c8abd
FILE_NAME
String Geographic%20Variation%20Public%20Use%20File%20State%20Co...
ROWNUM
Integer 1
YEAR
Integer 2007
BENE_GEO_LVL
String National
BENE_GEO_DESC
String National
BENE_GEO_CD
BENE_AGE_LVL
String All
BENES_TOTAL_CNT
BENES_WTH_PTAPTB_CNT
Integer 42286251
BENES_FFS_CNT
Integer 32872694
BENES_MA_CNT
MA_PRTCPTN_RATE
BENE_AVG_AGE
Integer 72
BENE_FEML_PCT
Float 0.5615
BENE_MALE_PCT
Float 0.4385
BENE_RACE_WHT_PCT
Float 0.8199
BENE_RACE_BLACK_PCT
Float 0.0938
BENE_RACE_HSPNC_PCT
Float 0.055
BENE_RACE_OTHR_PCT
Float 0.0313
BENE_DUAL_PCT
Float 0.2076
BENE_AVG_RISK_SCRE
Float 1.0
TOT_MDCR_PYMT_AMT
Float 274697746090.98
TOT_MDCR_STDZD_PYMT_AMT
Float 264086258659.14
TOT_MDCR_PYMT_PC
Float 8356.41
TOT_MDCR_STDZD_PYMT_PC
Float 8033.61
IP_MDCR_PYMT_AMT
Float 101224958320.5
IP_MDCR_PYMT_PCT
Float 0.3685
IP_MDCR_PYMT_PC
Float 3079.3
IP_MDCR_PYMT_PER_USER
Float 14915.91
IP_MDCR_STDZD_PYMT_AMT
Float 86340324230.83
IP_MDCR_STDZD_PYMT_PCT
Float 0.3269
IP_MDCR_STDZD_PYMT_PC
Float 2626.51
IP_MDCR_STDZD_PYMT_PER_USER
Float 12722.6
BENES_IP_CVRD_STAY_CNT
Integer 6786374
BENES_IP_PCT
Float 0.2064
IP_CVRD_STAYS_PER_1000_BENES
Float 341.0
IP_CVRD_DAYS_PER_1000_BENES
Float 1921.0
ACUTE_HOSP_READMSN_CNT
Integer 1932048
ACUTE_HOSP_READMSN_PCT
Float 0.1915
BENES_ER_VISITS_CNT
Integer 19952898
ER_VISITS_PER_1000_BENES
Float 607.0
BENES_ER_VISITS_PCT
Float 0.3024
OP_MDCR_PYMT_AMT
Float 25480724293.12
OP_MDCR_PYMT_PCT
Float 0.0928
OP_MDCR_PYMT_PC
Float 775.13
OP_MDCR_PYMT_PER_USER
Float 1224.84
OP_MDCR_STDZD_PYMT_AMT
Float 26255200301.08
OP_MDCR_STDZD_PYMT_PCT
Float 0.0994
OP_MDCR_STDZD_PYMT_PC
Float 798.69
OP_MDCR_STDZD_PYMT_PER_USER
Float 1262.07
BENES_OP_CNT
Integer 20803289
BENES_OP_PCT
Float 0.6328
OP_VISITS_PER_1000_BENES
Float 3845.0
ASC_MDCR_PYMT_AMT
Float 2186548829.26
ASC_MDCR_PYMT_PCT
Float 0.008
ASC_MDCR_PYMT_PC
Float 66.52
ASC_MDCR_PYMT_PER_USER
Float 709.2
ASC_MDCR_STDZD_PYMT_AMT
Float 2335964189.42
ASC_MDCR_STDZD_PYMT_PCT
Float 0.0088
ASC_MDCR_STDZD_PYMT_PC
Float 71.06
ASC_MDCR_STDZD_PYMT_PER_USER
Float 757.66
BENES_ASC_CNT
Integer 3083139
BENES_ASC_PCT
Float 0.0938
ASC_EVNTS_PER_1000_BENES
SNF_MDCR_PYMT_AMT
Float 21268747155.6
SNF_MDCR_PYMT_PCT
Float 0.0774
SNF_MDCR_PYMT_PC
Float 647.0
SNF_MDCR_PYMT_PER_USER
Float 12160.85
SNF_MDCR_STDZD_PYMT_AMT
Float 22025657878.12
SNF_MDCR_STDZD_PYMT_PCT
Float 0.0834
SNF_MDCR_STDZD_PYMT_PC
Float 670.03
SNF_MDCR_STDZD_PYMT_PER_USER
Float 12593.62
BENES_SNF_CNT
Integer 1748953
BENES_SNF_PCT
Float 0.0532
SNF_CVRD_STAYS_PER_1000_BENES
Float 75.0
SNF_CVRD_DAYS_PER_1000_BENES
Float 1984.0
IRF_MDCR_PYMT_AMT
Float 5663740493.34
IRF_MDCR_PYMT_PCT
Float 0.0206
IRF_MDCR_PYMT_PC
Float 172.29
IRF_MDCR_PYMT_PER_USER
Float 17571.14
IRF_MDCR_STDZD_PYMT_AMT
Float 5291218815.57
IRF_MDCR_STDZD_PYMT_PCT
Float 0.02
IRF_MDCR_STDZD_PYMT_PC
Float 160.96
IRF_MDCR_STDZD_PYMT_PER_USER
Float 16415.43
BENES_IRF_CNT
Integer 322332
BENES_IRF_PCT
Float 0.0098
IRF_CVRD_STAYS_PER_1000_BENES
Float 11.0
IRF_CVRD_DAYS_PER_1000_BENES
Float 142.0
LTCH_MDCR_PYMT_AMT
Float 4171248002.57
LTCH_MDCR_PYMT_PCT
Float 0.0152
LTCH_MDCR_PYMT_PC
Float 126.89
LTCH_MDCR_PYMT_PER_USER
Float 36574.49
LTCH_MDCR_STDZD_PYMT_AMT
Float 4257882617.41
LTCH_MDCR_STDZD_PYMT_PCT
Float 0.0161
LTCH_MDCR_STDZD_PYMT_PC
Float 129.53
LTCH_MDCR_STDZD_PYMT_PER_USER
Float 37334.13
BENES_LTCH_CNT
Integer 114048
BENES_LTCH_PCT
Float 0.0035
LTCH_CVRD_STAYS_PER_1000_BENES
Float 4.0
LTCH_CVRD_DAYS_PER_1000_BENES
Float 107.0
HH_MDCR_PYMT_AMT
Float 14748589283.85
HH_MDCR_PYMT_PCT
Float 0.0537
HH_MDCR_PYMT_PC
Float 448.66
HH_MDCR_PYMT_PER_USER
Float 5078.03
HH_MDCR_STDZD_PYMT_AMT
Float 15373705500.99
HH_MDCR_STDZD_PYMT_PCT
Float 0.0582
HH_MDCR_STDZD_PYMT_PC
Float 467.67
HH_MDCR_STDZD_PYMT_PER_USER
Float 5293.26
BENES_HH_CNT
Integer 2904391
BENES_HH_PCT
Float 0.0884
HH_EPISODES_PER_1000_BENES
HH_VISITS_PER_1000_BENES
Float 3283.0
HOSPC_MDCR_PYMT_AMT
Float 8073374136.66
HOSPC_MDCR_PYMT_PCT
Float 0.0294
HOSPC_MDCR_PYMT_PC
Float 245.6
HOSPC_MDCR_PYMT_PER_USER
Float 10387.15
HOSPC_MDCR_STDZD_PYMT_AMT
Float 8026160325.39
HOSPC_MDCR_STDZD_PYMT_PCT
Float 0.0304
HOSPC_MDCR_STDZD_PYMT_PC
Float 244.16
HOSPC_MDCR_STDZD_PYMT_PER_USER
Float 10326.41
BENES_HOSPC_CNT
Integer 777246
BENES_HOSPC_PCT
Float 0.0236
HOSPC_CVRD_STAYS_PER_1000_BENES
Float 25.0
HOSPC_CVRD_DAYS_PER_1000_BENES
Float 1691.0
EM_MDCR_PYMT_AMT
Float 25533838861.52
EM_MDCR_PYMT_PCT
Float 0.093
EM_MDCR_PYMT_PC
Float 776.75
EM_MDCR_PYMT_PER_USER
Float 866.01
EM_MDCR_STDZD_PYMT_AMT
Float 26142037421.98
EM_MDCR_STDZD_PYMT_PCT
Float 0.099
EM_MDCR_STDZD_PYMT_PC
Float 795.25
EM_MDCR_STDZD_PYMT_PER_USER
Float 886.63
BENES_EM_CNT
Integer 29484567
BENES_EM_PCT
Float 0.8969
EM_EVNTS_PER_1000_BENES
Float 13247.0
PRCDRS_MDCR_PYMT_AMT
Float 17957398257.03
PRCDRS_MDCR_PYMT_PCT
Float 0.0654
PRCDRS_MDCR_PYMT_PC
Float 546.27
PRCDRS_MDCR_PYMT_PER_USER
Float 890.21
PRCDRS_MDCR_STDZD_PYMT_AMT
Float 18360553849.79
PRCDRS_MDCR_STDZD_PYMT_PCT
Float 0.0695
PRCDRS_MDCR_STDZD_PYMT_PC
Float 558.54
PRCDRS_MDCR_STDZD_PYMT_PER_USER
Float 910.2
BENES_PRCDRS_CNT
Integer 20172009
BENES_PRCDRS_PCT
Float 0.6136
PRCDR_EVNTS_PER_1000_BENES
Float 4321.0
TESTS_MDCR_PYMT_AMT
Float 7346896723.81
TESTS_MDCR_PYMT_PCT
Float 0.0267
TESTS_MDCR_PYMT_PC
Float 223.5
TESTS_MDCR_PYMT_PER_USER
Float 289.17
TESTS_MDCR_STDZD_PYMT_AMT
Float 7586197743.8
TESTS_MDCR_STDZD_PYMT_PCT
Float 0.0287
TESTS_MDCR_STDZD_PYMT_PC
Float 230.78
TESTS_MDCR_STDZD_PYMT_PER_USER
Float 298.59
BENES_TESTS_CNT
Integer 25406705
BENES_TESTS_PCT
Float 0.7729
TESTS_EVNTS_PER_1000_BENES
Float 9801.0
IMGNG_MDCR_PYMT_AMT
Float 9081691909.38
IMGNG_MDCR_PYMT_PCT
Float 0.0331
IMGNG_MDCR_PYMT_PC
Float 276.27
IMGNG_MDCR_PYMT_PER_USER
Float 394.77
IMGNG_MDCR_STDZD_PYMT_AMT
Float 9792350291.37
IMGNG_MDCR_STDZD_PYMT_PCT
Float 0.0371
IMGNG_MDCR_STDZD_PYMT_PC
Float 297.89
IMGNG_MDCR_STDZD_PYMT_PER_USER
Float 425.66
BENES_IMGNG_CNT
Integer 23005102
BENES_IMGNG_PCT
Float 0.6998
IMGNG_EVNTS_PER_1000_BENES
Float 4130.0
DME_MDCR_PYMT_AMT
Float 7967449149.06
DME_MDCR_PYMT_PCT
Float 0.029
DME_MDCR_PYMT_PC
Float 242.37
DME_MDCR_PYMT_PER_USER
Float 838.2
DME_MDCR_STDZD_PYMT_AMT
Float 8026039027.98
DME_MDCR_STDZD_PYMT_PCT
Float 0.0304
DME_MDCR_STDZD_PYMT_PC
Float 244.16
DME_MDCR_STDZD_PYMT_PER_USER
Float 844.37
BENES_DME_CNT
Integer 9505413
BENES_DME_PCT
Float 0.2892
DME_EVNTS_PER_1000_BENES
Float 1973.0
OP_DLYS_MDCR_PYMT_AMT
Float 6638722151.55
OP_DLYS_MDCR_PYMT_PCT
Float 0.0242
OP_DLYS_MDCR_PYMT_PC
Float 201.95
OP_DLYS_MDCR_PYMT_PER_USER
Float 20871.56
OP_DLYS_MDCR_STDZD_PYMT_AMT
Float 6707318942.52
OP_DLYS_MDCR_STDZD_PYMT_PCT
Float 0.0254
OP_DLYS_MDCR_STDZD_PYMT_PC
Float 204.04
OP_DLYS_MDCR_STDZD_PYMT_PER_USER
Float 21087.22
BENES_OP_DLYS_CNT
Integer 318075
BENES_OP_DLYS_PCT
Float 0.0097
OP_DLYS_VISITS_PER_1000_BENES
Float 999.0
FQHC_RHC_MDCR_PYMT_AMT
Float 838961068.82
FQHC_RHC_MDCR_PYMT_PCT
Float 0.0031
FQHC_RHC_MDCR_PYMT_PC
Float 25.52
FQHC_RHC_MDCR_PYMT_PER_USER
Float 339.39
FQHC_RHC_MDCR_STDZD_PYMT_AMT
Float 886583602.84
FQHC_RHC_MDCR_STDZD_PYMT_PCT
Float 0.0034
FQHC_RHC_MDCR_STDZD_PYMT_PC
Float 26.97
FQHC_RHC_MDCR_STDZD_PYMT_PU
Float 358.65
BENES_FQHC_RHC_CNT
Integer 2471998
BENES_FQHC_RHC_PCT
Float 0.0752
FQHC_RHC_VISITS_PER_1000_BENES
Float 359.0
AMBLNC_MDCR_PYMT_AMT
Float 3779467460.17
AMBLNC_MDCR_PYMT_PCT
Float 0.0138
AMBLNC_MDCR_PYMT_PC
Float 114.97
AMBLNC_MDCR_PYMT_PER_USER
Float 1006.3
AMBLNC_MDCR_STDZD_PYMT_AMT
Float 3788231681.61
AMBLNC_MDCR_STDZD_PYMT_PCT
Float 0.0143
AMBLNC_MDCR_STDZD_PYMT_PC
Float 115.24
AMBLNC_MDCR_STDZD_PYMT_PER_USER
Float 1008.63
BENES_AMBLNC_CNT
Integer 3755814
BENES_AMBLNC_PCT
Float 0.1143
AMBLNC_EVNTS_PER_1000_BENES
Float 381.0
TRTMNTS_MDCR_PYMT_AMT
TRTMNTS_MDCR_PYMT_PCT
TRTMNTS_MDCR_PYMT_PC
TRTMNTS_MDCR_PYMT_PER_USER
TRTMNTS_MDCR_STDZD_PYMT_AMT
TRTMNTS_MDCR_STDZD_PYMT_PCT
TRTMNTS_MDCR_STDZD_PYMT_PC
TRTMNTS_MDCR_STDZD_PYMT_PER_USER
BENES_TRTMNTS_CNT
BENES_TRTMNTS_PCT
TRTMNTS_EVNTS_PER_1000_BENES
PTB_OTHR_SRVCS_MDCR_PYMT_AMT
Float 3793401251.76
PTB_OTHR_SRVCS_MDCR_STDZD_PYMT
Float 3948843495.44
TOT_PBPMT_RDCTN_AMT
TOT_PBPMT_RDCTN_PCC
PQI03_DBTS_AGE_LT_65
Integer 833
PQI03_DBTS_AGE_65_74
Integer 279
PQI03_DBTS_AGE_GE_75
Integer 347
PQI05_COPD_ASTHMA_AGE_40_64
Integer 1713
PQI05_COPD_ASTHMA_AGE_65_74
Integer 1020
PQI05_COPD_ASTHMA_AGE_GE_75
Integer 1331
PQI07_HYPRTNSN_AGE_LT_65
Integer 159
PQI07_HYPRTNSN_AGE_65_74
Integer 105
PQI07_HYPRTNSN_AGE_GE_75
Integer 204
PQI08_CHF_AGE_LT_65
Integer 1274
PQI08_CHF_AGE_65_74
Integer 977
PQI08_CHF_AGE_GE_75
Integer 2799
PQI11_BCTRL_PNA_AGE_LT_65
Integer 981
PQI11_BCTRL_PNA_AGE_65_74
Integer 815
PQI11_BCTRL_PNA_AGE_GE_75
Integer 2111
PQI12_UTI_AGE_LT_65
Integer 441
PQI12_UTI_AGE_65_74
Integer 322
PQI12_UTI_AGE_GE_75
Integer 1234
PQI15_ASTHMA_AGE_LT_40
Integer 420
PQI16_LWRXTRMTY_AMPUTN_AGE_LT_65
Integer 124
PQI16_LWRXTRMTY_AMPUTN_AGE_65_74
Integer 49
PQI16_LWRXTRMTY_AMPUTN_AGE_GE_75
Integer 55
BENES_EVER_MA_CNT
Integer 9413557
EVER_MA_PRTCPTN_RATE
Float 0.2226
TOT_MDCR_STDZD_RA_PYMT_AMT
Float 273783850649.77
TOT_MDCR_STDZD_RA_PYMT_PC
Float 8328.61
ASC_EVENTS_PER_1000_BENES
Integer 163
HH_CVRD_STAYS_PER_1000_BENES
Integer 166
PTB_DRUGS_MDCR_PYMT_AMT
Float 8941988742.91
PTB_DRUGS_MDCR_PYMT_PCT
Float 0.0326
PTB_DRUGS_MDCR_PYMT_PC
Float 272.02
PTB_DRUGS_MDCR_PYMT_PU
Float 529.58
PTB_DRUGS_MDCR_STDZD_PYMT_AMT
Float 8941988742.91
PTB_DRUGS_MDCR_STDZD_PYMT_PCT
Float 0.0339
PTB_DRUGS_MDCR_STDZD_PYMT_PC
Float 272.02
PTB_DRUGS_MDCR_STDZD_PYMT_PU
Float 529.58
BENES_PTB_DRUGS_CNT
Integer 16884971
BENES_PTB_DRUGS_PCT
Float 0.5136
PQI10_DHYDRTN_AGE_LT_65
Integer 521
PQI10_DHYDRTN_AGE_65_74
Integer 389
PQI10_DHYDRTN_AGE_GE_75
Integer 1058
[Sample] Ambulatory Surgical Centers And Independent Free Standing Emergency Departments Enrolled In Medicare As Hospital Providers
Attribute Type Example Mapping
ROW_ID
String 87439eac-d53c-597a-9e85-a54464b9dfdc
FILE_ID
String 46a690f2-6648-51f1-93ed-467b2c5d3653
FILE_FEED_ID
String 3e7477a0-57c2-5e98-baae-8e7ed30c0ec3
FILE_NAME
String ASC_IFED_Report_DATA_GOV_06_08_2023.csv
ROWNUM
Integer 1
ENROLLMENT_ID
String O20200807002510
NPI
Integer 1033113402
ENROLLMENT_STATE
String FL
ORGANIZATION_NAME
String NORTHWEST FLORIDA SURGICAL CENTER, INC.
LINE_1_ST_ADR
String 4600 NORTH DAVIS HWY
LINE_2_ST_ADR
CITY
String PENSACOLA
STATE
String FL
ZIP_CODE
Integer 325202337
TYPE
String ASC to HOSP
[Sample] Medicare Inpatient Hospitals By Geography And Service
Attribute Type Example Mapping
ROW_ID
String 64731436-dd74-57fb-97cf-532122e72a46
FILE_ID
String d759564e-ea3c-5795-957d-abd487860879
FILE_FEED_ID
String a497a7fc-2efa-58c5-93cf-085f50090a5b
FILE_NAME
String MUP_IHP_RY23_P03_V10_DY20_GEO.CSV
ROWNUM
Integer 1
RNDRNG_PRVDR_GEO_LVL
String National
RNDRNG_PRVDR_GEO_CD
RNDRNG_PRVDR_GEO_DESC
String National
DRG_CD
Integer 1
DRG_DESC
String HEART TRANSPLANT OR IMPLANT OF HEART ASSIST SYSTEM WITH MCC
TOT_DSCHRGS
Integer 1874
AVG_SUBMTD_CVRD_CHRG
Float 1234159.2199
AVG_TOT_PYMT_AMT
Float 297495.98773
AVG_MDCR_PYMT_AMT
Float 257726.87567
[Sample] Realizing Equity Access And Community Health Acos
Attribute Type Example Mapping
ROW_ID
String 576a0897-6ba1-58fe-8b8b-ed75a0565afd
FILE_ID
String 1785c7ab-0a2a-521f-a255-19b060800ea8
FILE_FEED_ID
String 61447fb3-4415-5d37-9bb5-18faf5cd355e
FILE_NAME
String ACO_PUF.csv
ROWNUM
Integer 1
__ENTITY_ID
PERFORMANCE_YEAR
AGREEMENT_START_DATE_COHORT_
ENTITY_LEGAL_BUSINESS_NAME
ENTITY_TYPE
AGREEMENT_OPTION
SERVICE_AREAS
STREET_ADDRESS
APT_SUITE
CITY
STATE_TERRITORY
ZIP_CODE
ZIP_CODE_4
WEBSITE
PHONE
ALIGNMENT_FREQUENCY
PAYMENT_MECHANISM
STOP_LOSS_SELECTED
ENHANCED_PCC_
CARDIAC_AND_PULMONARY_REHABILITATION
CARE_MANAGEMENT_HOME_VISIT
CHRONIC_DISEASE_MANAGEMENT_REWARD_BEI_
CONCURRENT_CARE_FOR_HOSPICE_BENEFICIARIES
COST_SHARING_FOR_PART_B_SERVICES_BEI_
DIABETIC_SHOES
HOME_HEALTH_HOMEBOUND_WAIVER
HOME_INFUSION_THERAPY
HOSPICE_CARE_CERTIFICATION
MEDICAL_NUTRITION_THERAPY
POST_DISCHARGE_HOME_VISIT
SKILLED_NURSING_FACILITY_SNF_3_DAY_STAY_WAIVER
TELEHEALTH
PROVISIONAL_RECONCILIATION
ACO_COMPLIANCE_CONTACT_NAME
String Tim Springer
ACO_MEDICAL_DIRECTOR_NAME
String Tyler Jung
ACO_EXECUTIVE_NAME_1
ACO_EXECUTIVE_PHONE_1
ACO_EXECUTIVE_EMAIL_1
ACO_EXECUTIVE_NAME_2
ACO_EXECUTIVE_PHONE_2
ACO_EXECUTIVE_EMAIL_2
ACO_EXECUTIVE_NAME_3
ACO_EXECUTIVE_PHONE_3
ACO_EXECUTIVE_EMAIL_3
__ACO_ID
String D0004
ACO_NAME
String Iora Health NE DCE, LLC
ACO_TYPE
String New Entrant
MODEL_START_YEAR
Integer 2021
PERF_YEAR
Integer 2021
RISK_ARRANGEMENT
String Global
STOP_LOSS_ELECTION
Boolean f
CAPITATION_ARRANGEMENT
String PCC
ENHANCED_PCC_ELECTION
Boolean t
APO_ELECTION
Boolean f
ALIGNMENT_PLUS
Boolean t
TELEHEALTH_WAIVER
Boolean f
PDHV_WAIVER
Boolean f
SNF_WAIVER
Boolean f
CMHV_WAIVER
Boolean f
HOMEBOUNDHH_WAIVER
Boolean f
HOSPICECC_WAIVER
Boolean f
ACO_ADDRESS
String 101 Tremont Street Boston , MA 02108
ACO_PUBLIC_REPORTING_WEBSITE
String https://www.iorahealth.com/direct-contracting-entity/
ACO_EXEC_NAME
String Suzanne Hansen
ACO_EXEC_EMAIL
String shansen@onemedical.com
ACO_EXEC_PHONE
ACO_PUBLIC_CONTACT_NAME
String Caroline Carlson Delgross
ACO_PUBLIC_CONTACT_EMAIL
ACO_PUBLIC_CONTACT_PHONE
String cacarlson@onemedical.com
NURSE_PRACTITIONER_SERVICES
[Sample] Accountable Care Organizations
Attribute Type Example Mapping
ROW_ID
String 07b2363e-5dee-5af4-9808-97d524f5031c
FILE_ID
String a5cd27c8-d8ae-57c9-a4fa-bfe2e100321f
FILE_FEED_ID
String a517a387-3ce8-506b-886a-d08a70dbf52a
FILE_NAME
String SSP_ACOs_2019_01_01.csv
ROWNUM
Integer 1
ACO_ID
String A2070
ACO_NAME
String Renown Accountable Care, LLC
ACO_SERVICE_AREA
String NV
AGREEMENT_PERIOD_NUM
Integer 2
INITIAL_START_DATE
CURRENT_START_DATE
RE_ENTERING_ACO
BASIC_TRACK
BASIC_TRACK_LEVEL
ENHANCED_TRACK
HIGH_REVENUE_ACO
LOW_REVENUE_ACO
ADV_PAY
Integer 0
AIM
Integer 0
AIP
SNF_3_DAY_RULE_WAIVER
Integer 0
PROSPECTIVE_ASSIGNMENT
RETROSPECTIVE_ASSIGNMENT
ACO_ADDRESS
String 1155 Mill Street, N14, Reno, NV, 89502
ACO_PUBLIC_REPORTING_WEBSITE
String https://www.renown.org/publicreporting
ACO_EXEC_NAME
String Thomas Zumtobel
ACO_EXEC_EMAIL
String TZumtobel@renown.org
ACO_EXEC_PHONE
String (775) 982-5751
ACO_PUBLIC_NAME
String N/A
ACO_PUBLIC_EMAIL
String N/A
ACO_PUBLIC_PHONE
String N/A
ACO_COMPLIANCE_CONTACT_NAME
String Melinda Montoya
ACO_MEDICAL_DIRECTOR_NAME
String Rahul Mediwala
LAT
Float 39.5243718
LONG
Float -119.7957326
ACO_NUM
String A80995
ACO_WEBSITE_ADDRESS
ACO_AGREEMENT_TYPE
ACO_EXECUTIVE_NAME
ACO_EXECUTIVE_EMAIL
ACO_EXECUTIVE_PHONE
RE_ENTERING_ACOS
TRACK_1
Integer 1
ACO_PUBLIC_CONTACT_NAME
PUBLIC_CONTACT_NAME
TRACK_1_
Integer 0
ACO_PUBLIC_CONTACT_EMAIL
PUBLIC_CONTACT_EMAIL
TRACK_2
Integer 0
ACO_PUBLIC_CONTACT_PHONE
PUBLIC_CONTACT_PHONE
ACO_ZIP
Integer 89502
TRACK_3
Integer 0
[Sample] Medicaid Spending By Drug
Attribute Type Example Mapping
ROW_ID
String 17dd802a-4d90-5dc3-89ae-c21c308e4b85
FILE_ID
String 053d9642-1d14-5cf4-897a-1255a8ab7407
FILE_FEED_ID
String 103c1990-c1c4-545d-8991-6e33c3f939db
FILE_NAME
String DSD_MCD_RY24_P06_V20_D22_BGM.csv
ROWNUM
Integer 1
BRND_NAME
String A & D
GNRC_NAME
String Vitamins A And D
TOT_MFTR
Integer 1
MFTR_NAME
String Overall
TOT_SPNDNG_2018
Float 252.22
TOT_DSG_UNTS_2018
Float 36845.0
TOT_CLMS_2018
Integer 84
AVG_SPND_PER_DSG_UNT_WGHTD_2018
Float 0.0068454336
AVG_SPND_PER_CLM_2018
Float 3.0026190476
OUTLIER_FLAG_2018
Integer 1
TOT_SPNDNG_2019
Float 770.31
TOT_DSG_UNTS_2019
Float 51334.454
TOT_CLMS_2019
Integer 121
AVG_SPND_PER_DSG_UNT_WGHTD_2019
Float 0.0150057114
AVG_SPND_PER_CLM_2019
Float 6.3661983471
OUTLIER_FLAG_2019
Integer 1
TOT_SPNDNG_2020
Float 322.51
TOT_DSG_UNTS_2020
Float 15751.8
TOT_CLMS_2020
Integer 41
AVG_SPND_PER_DSG_UNT_WGHTD_2020
Float 0.0204744855
AVG_SPND_PER_CLM_2020
Float 7.866097561
OUTLIER_FLAG_2020
Integer 1
TOT_SPNDNG_2021
Float 253.76
TOT_DSG_UNTS_2021
Float 9136.0
TOT_CLMS_2021
Integer 26
AVG_SPND_PER_DSG_UNT_WGHTD_2021
Float 0.0277758319
AVG_SPND_PER_CLM_2021
Float 9.76
OUTLIER_FLAG_2021
Integer 1
TOT_SPNDNG_2022
Float 129.83
TOT_DSG_UNTS_2022
Float 5884.5
TOT_CLMS_2022
Integer 17
AVG_SPND_PER_DSG_UNT_WGHTD_2022
Float 0.022063047
AVG_SPND_PER_CLM_2022
Float 7.6370588235
OUTLIER_FLAG_2022
Integer 1
CHG_AVG_SPND_PER_DSG_UNT_21_22
Float 0.3566070773
CAGR_AVG_SPND_PER_DSG_UNT_18_22
Float 0.3398807027
TOT_SPNDNG_2017
TOT_DSG_UNTS_2017
TOT_CLMS_2017
AVG_SPND_PER_DSG_UNT_WGHTD_2017
AVG_SPND_PER_CLM_2017
OUTLIER_FLAG_2017
CHG_AVG_SPND_PER_DSG_UNT_20_21
CAGR_AVG_SPND_PER_DSG_UNT_17_21
[Sample] Hospital Service Area
Attribute Type Example Mapping
ROW_ID
String 7da09db8-ce37-5fba-b103-ff2a4631b4f5
FILE_ID
String 1e74d010-40d2-55f1-877d-b6795c94adb9
FILE_FEED_ID
String eadf64af-4ac2-5279-b984-ef11be4c0039
FILE_NAME
String Hospital_Service_Area_2016.csv
ROWNUM
Integer 1
MEDICARE_PROV_NUM
Integer 4097
ZIP_CD_OF_RESIDENCE
String
TOTAL_DAYS_OF_CARE
TOTAL_CHARGES
TOTAL_CASES
[Sample] Medicare Telehealth Trends
Attribute Type Example Mapping
ROW_ID
String c179c8aa-6cba-5e1b-b9f6-f04f2ea396b7
FILE_ID
String c2d17826-1331-5039-a746-527746d40ba8
FILE_FEED_ID
String deeb08a2-997c-5dd4-8813-8e276e9dac0b
FILE_NAME
String TMEDTREND_PUBLIC_240528.csv
ROWNUM
Integer 18932
YEAR
Integer 2023
QUARTER
String Overall
BENE_GEO_DESC
String Mississippi
BENE_MDCD_MDCR_ENRL_STUS
String All
BENE_RACE_DESC
String Asian/Pacific Islander
BENE_SEX_DESC
String All
BENE_MDCR_ENTLMT_STUS
String All
BENE_AGE_DESC
String All
BENE_RUCA_DESC
String All
TOTAL_BENE_TH_ELIG
Integer 1692
TOTAL_PARTB_ENRL
Float 1874.1666667
TOTAL_BENE_TELEHEALTH
Integer 155
PCT_TELEHEALTH
Float 0.0916
[Sample] Hospital All Owners
Attribute Type Example Mapping
ROW_ID
String bdad56c5-99cb-58e9-a9de-5c85a5725cc5
FILE_ID
String 7a8b5884-ffb2-5a13-96eb-545d2534b5af
FILE_FEED_ID
String a411771b-4910-5f18-a75e-b47940a9553f
FILE_NAME
String Hospital_All_Owners_2024.07.01.csv
ROWNUM
Integer 484
ENROLLMENT_ID
String O20021022000016
ASSOCIATE_ID
Integer 2668380221
ORGANIZATION_NAME
String BAYLOR REGIONAL MEDICAL CENTER AT GRAPEVINE
ASSOCIATE_ID__OWNER
Integer 9931577665
TYPE__OWNER
String I
ROLE_CODE__OWNER
Integer 41
ROLE_TEXT__OWNER
String DIRECTOR
ASSOCIATION_DATE__OWNER
DateTime 2022-07-01T00:00:00+00:00
FIRST_NAME__OWNER
String LISA
MIDDLE_NAME__OWNER
LAST_NAME__OWNER
String HULTZ
TITLE__OWNER
String TRUSTEE
ORGANIZATION_NAME__OWNER
DOING_BUSINESS_AS_NAME__OWNER
ADDRESS_LINE_1__OWNER
ADDRESS_LINE_2__OWNER
CITY__OWNER
STATE__OWNER
ZIP_CODE__OWNER
PERCENTAGE_OWNERSHIP
CREATED_FOR_ACQUISITION__OWNER
CORPORATION__OWNER
LLC__OWNER
MEDICAL_PROVIDER_SUPPLIER__OWNER
MANAGEMENT_SERVICES_COMPANY__OWNER
MEDICAL_STAFFING_COMPANY__OWNER
HOLDING_COMPANY__OWNER
INVESTMENT_FIRM__OWNER
FINANCIAL_INSTITUTION__OWNER
CONSULTING_FIRM__OWNER
FOR_PROFIT__OWNER
NON_PROFIT__OWNER
OTHER_TYPE__OWNER
OTHER_TYPE_TEXT__OWNER

Description

Access 118 report feeds sourced from the Centers for Medicare & Medicaid Services (CMS), with 25.8B+ rows of data dating back to 2007. Updated monthly, this dataset is ideal for tracking healthcare metrics over time, with cleaned and aligned attributes for easy ingestion and comprehensive analysis.
The All CMS Data Feeds dataset is an expansive resource offering access to 118 unique report feeds, providing in-depth insights into various aspects of the U.S. healthcare system. With over 25.8 billion rows of data meticulously collected since 2007, this dataset is invaluable for healthcare professionals, analysts, researchers, and businesses seeking to understand and analyze healthcare trends, performance metrics, and demographic shifts over time. The dataset is updated monthly, ensuring that users always have access to the most current and relevant data available. Dataset Overview: 118 Report Feeds: - The dataset includes a wide array of report feeds, each providing unique insights into different dimensions of healthcare. These topics range from Medicare and Medicaid service metrics, patient demographics, provider information, financial data, and much more. The breadth of information ensures that users can find relevant data for nearly any healthcare-related analysis. - As CMS releases new report feeds, they are automatically added to this dataset, keeping it current and expanding its utility for users. 25.8 Billion Rows of Data: - With over 25.8 billion rows of data, this dataset provides a comprehensive view of the U.S. healthcare system. This extensive volume of data allows for granular analysis, enabling users to uncover insights that might be missed in smaller datasets. The data is also meticulously cleaned and aligned, ensuring accuracy and ease of use. Historical Data Since 2007: - The dataset spans from 2007 to the present, offering a rich historical perspective that is essential for tracking long-term trends and changes in healthcare delivery, policy impacts, and patient outcomes. This historical data is particularly valuable for conducting longitudinal studies and evaluating the effects of various healthcare interventions over time. Monthly Updates: - To ensure that users have access to the most current information, the dataset is updated monthly. These updates include new reports as well as revisions to existing data, making the dataset a continuously evolving resource that stays relevant and accurate. Data Sourced from CMS: - The data in this dataset is sourced directly from the Centers for Medicare & Medicaid Services (CMS). After collection, the data is meticulously cleaned and its attributes are aligned, ensuring consistency, accuracy, and ease of use for any application. Furthermore, any new updates or releases from CMS are automatically integrated into the dataset, keeping it comprehensive and current. Use Cases: Market Analysis: - The dataset is ideal for market analysts who need to understand the dynamics of the healthcare industry. The extensive historical data allows for detailed segmentation and analysis, helping users identify trends, market shifts, and growth opportunities. The comprehensive nature of the data enables users to perform in-depth analyses of specific market segments, making it a valuable tool for strategic decision-making. Healthcare Research: - Researchers will find the All CMS Data Feeds dataset to be a robust foundation for academic and commercial research. The historical data, combined with the breadth of coverage across various healthcare metrics, supports rigorous, in-depth analysis. Researchers can explore the effects of healthcare policies, study patient outcomes, analyze provider performance, and more, all within a single, comprehensive dataset. Performance Tracking: - Healthcare providers and organizations can use the dataset to track performance metrics over time. By comparing data across different periods, organizations can identify areas for improvement, monitor the effectiveness of initiatives, and ensure compliance with regulatory standards. The dataset provides the detailed, reliable data needed to track and analyze key performance indicators. Compliance and Regulatory Reporting: - The dataset is also an essential tool for compliance officers and those involved in regulatory reporting. With detailed data on provider performance, patient outcomes, and healthcare utilization, the dataset helps organizations meet regulatory requirements, prepare for audits, and ensure adherence to best practices. The accuracy and comprehensiveness of the data make it a trusted resource for regulatory compliance. Data Quality and Reliability: The All CMS Data Feeds dataset is designed with a strong emphasis on data quality and reliability. Each row of data is meticulously cleaned and aligned, ensuring that it is both accurate and consistent. This attention to detail makes the dataset a trusted resource for high-stakes applications, where data quality is critical. Integration and Usability: Ease of Integration: - The dataset is provided in a CSV format, which is widely compatible with most data analysis tools and platforms. This ensures that users can easily integrate the data into their existing workflows without the need for extensive preprocessing. The CSV format also makes it easy to import, analyze, and utilize the data for various applications. User-Friendly Structure: - The data is structured in a way that makes it easy to navigate and analyze. Attributes are carefully aligned, making it simple to cross-reference different data points and perform complex analyses. The user-friendly structure of the data ensures that even large and complex datasets can be easily managed and analyzed. Ideal For: Data Analysts: - Data analysts will find the All CMS Data Feeds dataset to be a rich resource for a wide range of analytical applications. Whether conducting market research, analyzing healthcare trends, or building predictive models, analysts can leverage the depth and breadth of the data to drive meaningful insights. The dataset's extensive historical data and comprehensive coverage make it an invaluable tool for data-driven decision-making. Businesses: - Businesses in the healthcare sector can use the dataset to inform strategic decisions, identify growth opportunities, and stay ahead of industry trends. The comprehensive nature of the data allows for detailed market segmentation and targeted analysis, helping businesses gain a competitive edge. Whether for market research, strategic planning, or operational optimization, this dataset provides the data needed to drive business success. Researchers: - Researchers can use the dataset to conduct in-depth studies on a wide range of healthcare topics. The historical data provides a unique opportunity to study long-term trends, while the monthly updates ensure that research is based on the most current information available. Whether studying the impact of healthcare policies, analyzing patient outcomes, or exploring provider performance, researchers can rely on this dataset for accurate and comprehensive data. Comprehensive List of 118 Report Feeds: The full list of current reports can be found in the dataset documentation: https://docs.dataplex-consulting.com/snowflake-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog

Country Coverage

North America (1)
United States of America

History

14 years of historical data

Volume

26 B records
118 Feeds and growing
1,500 + Aligned Reports
7 K Attributes
14 Years of historical data
480 GBs of data

Pricing

Free sample available
Dataplex has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
columns aligned and cleaned

Delivery

Methods
S3 Bucket
SFTP
Frequency
daily
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion?

Access 118 report feeds sourced from the Centers for Medicare & Medicaid Services (CMS), with 25.8B+ rows of data dating back to 2007. Updated monthly, this dataset is ideal for tracking healthcare metrics over time, with cleaned and aligned attributes for easy ingestion and comprehensive analysis.

What is Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion used for?

This product has 5 key use cases. Dataplex recommends using the data for Healthcare Market Analysis, Healthcare Utilization, Population Health Benchmarking, Healthcare Quality Benchmarking, and Clinical Performance Benchmarking. Global businesses and organizations buy Clinical Data from Dataplex to fuel their analytics and enrichment.

Who can use Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Clinical Data. Get in touch with Dataplex to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion go?

This product has 14 years of historical coverage. It can be delivered on a daily basis.

Which countries does Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion cover?

This product includes data covering 1 country like USA. Dataplex is headquartered in United States of America.

How much does Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion cost?

Pricing information for Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion is available by getting in contact with Dataplex. Connect with Dataplex to get a quote and arrange custom pricing models based on your data requirements.

How can I get Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion?

Businesses can buy Clinical Data from Dataplex and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Dataplex can deliver this product in .csv format.

What is the data quality of Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion?

Dataplex has reported that this product has the following quality and accuracy assurances: 100% columns aligned and cleaned. You can compare and assess the data quality of Dataplex using Datarade’s data marketplace.

What are similar products to Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Data Perfect for Historical Analysis & Easy Ingestion?

This product has 3 related products. These alternatives include Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Contact Data Perfect for Historical Analysis & Easy Ingestion, Doorda UK Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes, and US Healthcare Professionals Data Healthcare Industry Leads: 6.9MM+ Verified Healthcare Contacts. You can compare the best Clinical Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request