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ROW_ID
|
FILE_ID
|
FILE_FEED_ID
|
FILE_NAME
|
ROWNUM
|
__ACO_ID
|
ACO_NAME
|
ACO_TYPE
|
FIRST_PART_YEAR
|
PERF_YEAR
|
RISK_ARRANGEMENT
|
STOP_LOSS_ELECTION
|
CAPITATION_ARRANGEMENT
|
ENHANCED_PCC_ELECTION
|
APO_ELECTION
|
ALIGNMENT_PLUS
|
DISCOUNT
|
RETENTION_WITHHOLD
|
UNADJ_BENCHMARK
|
FINAL_BENCHMARK
|
SAV_RATE
|
TRENDED_AD_BASELINE
|
TRENDED_ESRD_BASELINE
|
REGIONAL_AD_BASELINE
|
REGIONAL_ESRD_BASELINE
|
HIST_AD_BASELINE_ADJ
|
HIST_ESRD_BASELINE_ADJ
|
TOT_COST_CARE_NET
|
TOT_COST_CARE
|
GROSS_SAVINGS
|
SHARED_SAVINGS
|
SHARED_SAVINGS_SEQ
|
CAP_PMT_AMT
|
EPCC_PMT_AMT
|
CLM_PMT_AMT
|
EXPND_DME
|
EXPND_HHA
|
EXPND_HSP
|
EXPND_INP_ALL
|
EXPND_OPD
|
EXPND_PB
|
EXPND_SNF
|
HIST_BY1_AD_PBPM
|
HIST_BY1_ESRD_PBPM
|
HIST_BY2_AD_PBPM
|
HIST_BY2_ESRD_PBPM
|
HIST_BY3_AD_PBPM
|
HIST_BY3_ESRD_PBPM
|
ALIGNED_BENEFICIARIES
|
HIST_BY1_AD_RISKSCORE
|
HIST_BY1_ESRD_RISKSCORE
|
HIST_BY2_AD_RISKSCORE
|
HIST_BY2_ESRD_RISKSCORE
|
HIST_BY3_AD_RISKSCORE
|
HIST_BY3_ESRD_RISKSCORE
|
PY_AD_BLEND_MNTHS
|
PY_ESRD_BLEND_MNTHS
|
PY_AD_RATEBOOK_MNTHS
|
PY_ESRD_RATEBOOK_MNTHS
|
PY_AD_BLEND_RISKSCORE
|
PY_ESRD_BLEND_RISKSCORE
|
PY_AD_RATEBOOK_RISKSCORE
|
PY_ESRD_RATEBOOK_RISKSCORE
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
| xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx |
| Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx |
| Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx |
| xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx |
| Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx |
| xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx |
| Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
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] Aco Realizing Equity Access And Community Health Financial And Quality Results
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 772fb4fc-ffde-595d-b721-bb5e2ec6b7ef | |
|
FILE_ID
|
String | 3d41a4b7-4247-589e-8c92-5a0512a6c8c2 | |
|
FILE_FEED_ID
|
String | e296b99d-b8c9-594b-b9fe-916677a83e4a | |
|
FILE_NAME
|
String | FNCL_QLTY_PUF_REDACT.csv | |
|
ROWNUM
|
Integer | 1 | |
|
__ACO_ID
|
String | D0004 | |
|
ACO_NAME
|
String | Iora Health NE DCE, LLC | |
|
ACO_TYPE
|
String | New Entrant | |
|
FIRST_PART_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 | |
|
DISCOUNT
|
Float | 0.02 | |
|
RETENTION_WITHHOLD
|
Float | 0.0 | |
|
UNADJ_BENCHMARK
|
Float | 81185503.0 | |
|
FINAL_BENCHMARK
|
Float | 75558439.91 | |
|
SAV_RATE
|
Float | 0.051345 | |
|
TRENDED_AD_BASELINE
|
|||
|
TRENDED_ESRD_BASELINE
|
|||
|
REGIONAL_AD_BASELINE
|
|||
|
REGIONAL_ESRD_BASELINE
|
|||
|
HIST_AD_BASELINE_ADJ
|
|||
|
HIST_ESRD_BASELINE_ADJ
|
|||
|
TOT_COST_CARE_NET
|
Float | 71678885.45 | |
|
TOT_COST_CARE
|
Float | 71678885.45 | |
|
GROSS_SAVINGS
|
Float | 3879554.461 | |
|
SHARED_SAVINGS
|
Float | 3879554.461 | |
|
SHARED_SAVINGS_SEQ
|
Float | 3801963.372 | |
|
CAP_PMT_AMT
|
Float | 712430.9808 | |
|
EPCC_PMT_AMT
|
Float | 4895102.181 | |
|
CLM_PMT_AMT
|
Float | 70966454.47 | |
|
EXPND_DME
|
Float | 2331943.71 | |
|
EXPND_HHA
|
Float | 2813562.1 | |
|
EXPND_HSP
|
Float | 2221211.08 | |
|
EXPND_INP_ALL
|
Float | 19448536.66 | |
|
EXPND_OPD
|
Float | 12707598.27 | |
|
EXPND_PB
|
Float | 28295770.05 | |
|
EXPND_SNF
|
Float | 3147832.6 | |
|
HIST_BY1_AD_PBPM
|
|||
|
HIST_BY1_ESRD_PBPM
|
|||
|
HIST_BY2_AD_PBPM
|
|||
|
HIST_BY2_ESRD_PBPM
|
|||
|
HIST_BY3_AD_PBPM
|
|||
|
HIST_BY3_ESRD_PBPM
|
|||
|
ALIGNED_BENEFICIARIES
|
Integer | 9686 | |
|
HIST_BY1_AD_RISKSCORE
|
|||
|
HIST_BY1_ESRD_RISKSCORE
|
|||
|
HIST_BY2_AD_RISKSCORE
|
|||
|
HIST_BY2_ESRD_RISKSCORE
|
|||
|
HIST_BY3_AD_RISKSCORE
|
Float | 0.89333045 | |
|
HIST_BY3_ESRD_RISKSCORE
|
Float | 1.29010197 | |
|
PY_AD_BLEND_MNTHS
|
Integer | 0 | |
|
PY_ESRD_BLEND_MNTHS
|
Integer | 0 | |
|
PY_AD_RATEBOOK_MNTHS
|
Integer | 74344 | |
|
PY_ESRD_RATEBOOK_MNTHS
|
Integer | 173 | |
|
PY_AD_BLEND_RISKSCORE
|
|||
|
PY_ESRD_BLEND_RISKSCORE
|
|||
|
PY_AD_RATEBOOK_RISKSCORE
|
Float | 1.03678306 | |
|
PY_ESRD_RATEBOOK_RISKSCORE
|
Float | 0.91218293 |
[Sample] Rural Health Clinic Enrollments
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 00c34e90-df0f-5717-afd4-1ea9e743155f | |
|
FILE_ID
|
String | 006ee914-9ad3-5da9-b679-4467230480f3 | |
|
FILE_FEED_ID
|
String | bf2551a1-106f-507d-9233-b1c95bcf1758 | |
|
FILE_NAME
|
String | RHC_Enrollments_2023.11.01.csv | |
|
ROWNUM
|
Integer | 1 | |
|
ENROLLMENT_ID
|
String | O20020731000000 | |
|
ENROLLMENT_STATE
|
String | WA | |
|
PROVIDER_TYPE_CODE
|
String | 00-17 | |
|
PROVIDER_TYPE_TEXT
|
String | PART A PROVIDER - RURAL HEALTH CLINIC | |
|
NPI
|
Integer | 1508861386 | |
|
MULTIPLE_NPI_FLAG
|
Boolean | f | |
|
CCN
|
Integer | 503883 | |
|
ASSOCIATE_ID
|
Integer | 941117907 | |
|
ORGANIZATION_NAME
|
String | PALOUSE HEALTH CENTER PS | |
|
DOING_BUSINESS_AS_NAME
|
String | PALOUSE HEALTH CENTER | |
|
INCORPORATION_DATE
|
DateTime | 2000-03-21T00:00:00+00:00 | |
|
INCORPORATION_STATE
|
String | WA | |
|
ORGANIZATION_TYPE_STRUCTURE
|
String | CORPORATION | |
|
ORGANIZATION_OTHER_TYPE_TEXT
|
|||
|
PROPRIETARY_NONPROFIT
|
String | P | |
|
ADDRESS_LINE_1
|
String | 235 E MAIN ST | |
|
ADDRESS_LINE_2
|
|||
|
CITY
|
String | PALOUSE | |
|
STATE
|
String | WA | |
|
ZIP_CODE
|
Integer | 99161 |
[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] Accountable Care Organization Participants
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 0d5bd4ef-6728-5365-b7d2-65fccb1af914 | |
|
FILE_ID
|
String | 043464ff-3045-5711-a88e-01a5fe6125ed | |
|
FILE_FEED_ID
|
String | 487e2723-8ca4-591d-9a75-e56ee9855e0d | |
|
FILE_NAME
|
String | SSP_ACO_Participants_2023_01_01.csv | |
|
ROWNUM
|
Integer | 1 | |
|
ACO_ID
|
String | A2811 | |
|
PAR_LBN
|
String | ARIZONA COMMUNITY PHYSICIANS PC | |
|
ACO_NAME
|
String | Abacus Health LLC | |
|
ACO_SERVICE_AREA
|
String | AZ | |
|
AGREEMENT_PERIOD_NUM
|
Integer | 2 | |
|
INITIAL_START_DATE
|
DateTime | 2016-01-01T00:00:00+00:00 | |
|
CURRENT_START_DATE
|
DateTime | 2019-07-01T00:00:00+00:00 | |
|
RE_ENTERING_ACO
|
Integer | 0 | |
|
BASIC_TRACK
|
Integer | 1 | |
|
BASIC_TRACK_LEVEL
|
String | E | |
|
ENHANCED_TRACK
|
Integer | 0 | |
|
HIGH_REVENUE_ACO
|
Integer | 0 | |
|
LOW_REVENUE_ACO
|
Integer | 1 | |
|
ADV_PAY
|
Integer | 0 | |
|
AIM
|
Integer | 0 | |
|
AIP
|
|||
|
SNF_3_DAY_RULE_WAIVER
|
Integer | 0 | |
|
PROSPECTIVE_ASSIGNMENT
|
Integer | 0 | |
|
RETROSPECTIVE_ASSIGNMENT
|
Integer | 1 | |
|
ACO_ADDRESS
|
String | 5055 East Broadway Blvd., Suite A-215, Tucson, AZ, 85711 | |
|
ACO_PUBLIC_REPORTING_WEBSITE
|
String | http://www.tmcaz.com/abacus-health/about-us/public-reporting | |
|
ACO_EXEC_NAME
|
String | Jim Stelzer | |
|
ACO_EXEC_EMAIL
|
String | jstelzer@azacp.com | |
|
ACO_EXEC_PHONE
|
String | (520) 547-4918 | |
|
ACO_PUBLIC_NAME
|
String | Kimberly Clifton | |
|
ACO_PUBLIC_EMAIL
|
String | kclifton@azacp.com | |
|
ACO_PUBLIC_PHONE
|
String | (520) 545-1192 | |
|
ACO_COMPLIANCE_CONTACT_NAME
|
String | Tracy Rohn | |
|
ACO_MEDICAL_DIRECTOR_NAME
|
String | Melissa Levine |
[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] Aco Realizing Equity Access And Community Health Aligned Beneficiaries
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 53b8ceff-bc99-5307-aa49-0868c149e2c8 | |
|
FILE_ID
|
String | 1e68c6cf-1c3c-5fc1-921f-e7fc738cdaff | |
|
FILE_FEED_ID
|
String | c6721e75-efef-5f4c-9cee-7dda314de3e6 | |
|
FILE_NAME
|
String | ALGN_BENE_PUF_REDACT.csv | |
|
ROWNUM
|
Integer | 1 | |
|
ACO_ID
|
String | D0004 | |
|
YEAR
|
Integer | 2021 | |
|
STATE_ID
|
Integer | 4 | |
|
COUNTY_ID
|
Integer | 3 | |
|
STATE_NAME
|
String | ARIZONA | |
|
COUNTY_NAME
|
String | COCHISE | |
|
ELIG_MONTHS_AD
|
Integer | 87 | |
|
ELIG_MONTHS_ESRD
|
Integer | 0 | |
|
ELIG_MONTHS_TOTAL
|
Integer | 87 | |
|
ALGNED_BENEFICIARIES
|
[Sample] Endstage Renal Disease Facility Aggregation Group Performance
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 3ca876f8-96c9-5f5c-af5e-46ea97e1a1aa | |
|
FILE_ID
|
String | 3957b5c0-eca8-518d-9735-3a53604d008f | |
|
FILE_FEED_ID
|
String | 724c310e-5b77-5b44-89ad-7dfe7c5a5904 | |
|
FILE_NAME
|
String | ETC-MY3-DF-ModelDetailedResults.csv | |
|
ROWNUM
|
Integer | 1 | |
|
AGG_ID
|
String | DF5698 | |
|
HRR_NUM_MY
|
Integer | 12 | |
|
HDR_MY
|
Float | 0.0 | |
|
HDR_DNM_MY
|
Integer | -9999 | |
|
HDR_NUM_MY
|
Float | -9999.0 | |
|
HD_NUM_MY
|
Integer | -9999 | |
|
SD_NUM_MY
|
Integer | -9999 | |
|
NOCD_NUM_MY
|
Integer | -9999 | |
|
TR_MY_ACHSCR
|
Float | 53.7776 | |
|
TR_MY_IMPSCR
|
Float | 43.5142 | |
|
TWR_DNM_MY
|
Integer | -9999 | |
|
TWR_NUM_MY
|
Integer | -9999 | |
|
LDT_DNM_MY
|
Integer | -9999 | |
|
LDT_NUM_MY
|
Integer | -9999 | |
|
BENECNT_LDT_MY
|
Integer | -9999 | |
|
HEI_HDR
|
|||
|
HDR_DELIS_DIFF
|
Float | -66.6667 | |
|
HDR_DELIS_MY
|
Float | 0.0 | |
|
HDR_DNM_DELIS_MY
|
Integer | -9999 | |
|
HDR_NUM_DELIS_MY
|
Float | -9999.0 | |
|
HEI_TR
|
|||
|
TR_DELIS_DIFF
|
Float | -63.4413 | |
|
TR_DELIS_MY
|
Float | 40.047 | |
|
TWR_DNM_DELIS_MY
|
Integer | -9999 | |
|
TWR_NUM_DELIS_MY
|
Integer | -9999 | |
|
LDT_DNM_DELIS_MY
|
Integer | -9999 | |
|
LDT_NUM_DELIS_MY
|
Integer | -9999 | |
|
MPS
|
Float | 2.0 | |
|
PPA
|
|||
|
PPA_PERIOD
|
Integer | 3 | |
|
MY
|
Integer | 3 |
[Sample] Comprehensive Care For Joint Replacement Model Metropolitan Stati STI Cal Areas
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 8bf3769e-dc86-5ada-af38-c58bd514681a | |
|
FILE_ID
|
String | 93425e20-00fb-5229-8c3a-c90cd5bab95b | |
|
FILE_FEED_ID
|
String | 5149c4f9-f699-58fc-96f4-dc41796d9a7c | |
|
FILE_NAME
|
String | Comprehensive_Care_for_Joint_Replacement_Model__Metropoli... | |
|
ROWNUM
|
Integer | 1 | |
|
MSA
|
Integer | 14500 | |
|
MSA_TITLE
|
String | Boulder, CO | |
|
COUNTIES
|
String | Boulder County |
[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] Medicare Inpatient Hospitals By Provider
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 77375123-bd66-5fe6-9ca1-f151cdf0f365 | |
|
FILE_ID
|
String | 20657011-2ca4-5407-b6ae-141e04a8c7ba | |
|
FILE_FEED_ID
|
String | eaf597ce-d5af-5cd6-b4d2-2d13f74f37f9 | |
|
FILE_NAME
|
String | MUP_INP_RY24_P04_V10_DY22_Prv.CSV | |
|
ROWNUM
|
Integer | 1 | |
|
RNDRNG_PRVDR_CCN
|
Integer | 10001 | |
|
RNDRNG_PRVDR_ORG_NAME
|
String | Southeast Health Medical Center | |
|
RNDRNG_PRVDR_CITY
|
String | Dothan | |
|
RNDRNG_PRVDR_ST
|
String | 1108 Ross Clark Circle | |
|
RNDRNG_PRVDR_STATE_FIPS
|
Integer | 1 | |
|
RNDRNG_PRVDR_ZIP5
|
Integer | 36301 | |
|
RNDRNG_PRVDR_STATE_ABRVTN
|
String | AL | |
|
RNDRNG_PRVDR_RUCA
|
Float | 1.0 | |
|
RNDRNG_PRVDR_RUCA_DESC
|
String | Metropolitan area core: primary flow within an urbanized ... | |
|
DRG_CD
|
|||
|
DRG_DESC
|
|||
|
TOT_DSCHRGS
|
Integer | 4673 | |
|
AVG_SUBMTD_CVRD_CHRG
|
|||
|
AVG_TOT_PYMT_AMT
|
|||
|
AVG_MDCR_PYMT_AMT
|
|||
|
TOT_SUBMTD_CVRD_CHRG
|
Integer | 283839915 | |
|
TOT_PYMT_AMT
|
Integer | 65445089 | |
|
TOT_MDCR_PYMT_AMT
|
Integer | 53683212 | |
|
TOT_BENES
|
Integer | 3431 | |
|
TOT_CVRD_DAYS
|
Integer | 26187 | |
|
TOT_DAYS
|
Integer | 27145 | |
|
BENE_AVG_AGE
|
Float | 73.593704459 | |
|
BENE_AGE_LT_65_CNT
|
Integer | 566 | |
|
BENE_AGE_65_74_CNT
|
Integer | 1077 | |
|
BENE_AGE_75_84_CNT
|
Integer | 1155 | |
|
BENE_AGE_GT_84_CNT
|
Integer | 633 | |
|
BENE_FEML_CNT
|
Integer | 1778 | |
|
BENE_MALE_CNT
|
Integer | 1653 | |
|
BENE_RACE_WHT_CNT
|
Integer | 2771 | |
|
BENE_RACE_BLACK_CNT
|
Integer | 581 | |
|
BENE_RACE_API_CNT
|
Integer | 13 | |
|
BENE_RACE_HSPNC_CNT
|
Integer | 28 | |
|
BENE_RACE_NATIND_CNT
|
|||
|
BENE_RACE_OTHR_CNT
|
|||
|
BENE_DUAL_CNT
|
Integer | 881 | |
|
BENE_NDUAL_CNT
|
Integer | 2550 | |
|
BENE_CC_AF_PCT
|
|||
|
BENE_CC_ALZHMR_PCT
|
|||
|
BENE_CC_ASTHMA_PCT
|
|||
|
BENE_CC_BH_ADHD_OTHCD_V1_PCT
|
Float | 0.0180705334 | |
|
BENE_CC_CNCR_PCT
|
|||
|
BENE_CC_BH_ALCOHOL_DRUG_V1_PCT
|
Float | 0.1288254153 | |
|
BENE_CC_CHF_PCT
|
|||
|
BENE_CC_BH_TOBACCO_V1_PCT
|
Float | 0.2815505683 | |
|
BENE_CC_CKD_PCT
|
|||
|
BENE_CC_BH_ALZ_NONALZDEM_V2_PCT
|
Float | 0.2086855144 | |
|
BENE_CC_COPD_PCT
|
|||
|
BENE_CC_BH_ANXIETY_V1_PCT
|
Float | 0.4077528417 | |
|
BENE_CC_DPRSSN_PCT
|
|||
|
BENE_CC_BH_BIPOLAR_V1_PCT
|
Float | 0.0813174002 | |
|
BENE_CC_DBTS_PCT
|
|||
|
BENE_CC_BH_MOOD_V2_PCT
|
Float | 0.4264062955 | |
|
BENE_CC_HYPLPDMA_PCT
|
|||
|
BENE_CC_BH_DEPRESS_V1_PCT
|
Float | 0.3672398718 | |
|
BENE_CC_HYPRTNSN_PCT
|
|||
|
BENE_CC_BH_PD_V1_PCT
|
Float | 0.0195278345 | |
|
BENE_CC_IHD_PCT
|
|||
|
BENE_CC_BH_PTSD_V1_PCT
|
Float | 0.0361410667 | |
|
BENE_CC_OPO_PCT
|
|||
|
BENE_CC_BH_SCHIZO_OTHPSY_V1_PCT
|
Float | 0.0754881959 | |
|
BENE_CC_RAOA_PCT
|
|||
|
BENE_CC_PH_ASTHMA_V2_PCT
|
Float | 0.127076654 | |
|
BENE_CC_SZ_PCT
|
|||
|
BENE_CC_PH_AFIB_V2_PCT
|
Float | 0.3826872632 | |
|
BENE_CC_STROK_PCT
|
|||
|
BENE_AVG_RISK_SCRE
|
Float | 1.9664623995 | |
|
BENE_CC_PH_CANCER6_V2_PCT
|
Float | 0.193238123 | |
|
BENE_CC_PH_CKD_V2_PCT
|
Float | 0.4371903235 | |
|
BENE_CC_PH_COPD_V2_PCT
|
Float | 0.335179248 | |
|
BENE_CC_PH_DIABETES_V2_PCT
|
Float | 0.4806178957 | |
|
BENE_CC_PH_HF_NONIHD_V2_PCT
|
Float | 0.4258233751 | |
|
BENE_CC_PH_HYPERLIPIDEMIA_V2_PCT
|
Float | 0.75 | |
|
BENE_CC_PH_HYPERTENSION_V2_PCT
|
Float | 0.75 | |
|
BENE_CC_PH_ISCHEMICHEART_V2_PCT
|
Float | 0.4963567473 | |
|
BENE_CC_PH_OSTEOPOROSIS_V2_PCT
|
Float | 0.1323229379 | |
|
BENE_CC_PH_PARKINSON_V2_PCT
|
Float | 0.029728942 | |
|
BENE_CC_PH_ARTHRITIS_V2_PCT
|
Float | 0.6033226465 | |
|
BENE_CC_PH_STROKE_TIA_V2_PCT
|
Float | 0.2585252113 |
[Sample] Provider Of Services File Clinical Laboratories
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 55f1c4de-62d5-5540-9641-01bcf966ba30 | |
|
FILE_ID
|
String | 03c7a22f-734a-5106-b250-084fe6d19a1e | |
|
FILE_FEED_ID
|
String | 8720672d-a23e-586f-9b15-c5f23e4529a0 | |
|
FILE_NAME
|
String | POS_CLIA_DEC11.csv | |
|
ROWNUM
|
Integer | 1 | |
|
PRVDR_CTGRY_SBTYP_CD
|
Integer | 1 | |
|
PRVDR_CTGRY_CD
|
Integer | 22 | |
|
CHOW_CNT
|
Integer | 0 | |
|
CHOW_DT
|
|||
|
CITY_NAME
|
String | ALABASTER | |
|
ACPTBL_POC_SW
|
Boolean | f | |
|
CMPLNC_STUS_CD
|
|||
|
SSA_CNTY_CD
|
Integer | 580 | |
|
CROSS_REF_PROVIDER_NUMBER
|
|||
|
CRTFCTN_DT
|
Integer | 19930223 | |
|
ELGBLTY_SW
|
Boolean | f | |
|
FAC_NAME
|
String | SHELBY BAPTIST MEDICAL CENTER | |
|
INTRMDRY_CARR_CD
|
|||
|
MDCD_VNDR_NUM
|
|||
|
ORGNL_PRTCPTN_DT
|
Integer | 19930223 | |
|
CHOW_PRIOR_DT
|
|||
|
INTRMDRY_CARR_PRIOR_CD
|
|||
|
PRVDR_NUM
|
String | 01D0026356 | |
|
RGN_CD
|
Integer | 4 | |
|
SKLTN_REC_SW
|
Boolean | t | |
|
STATE_CD
|
String | AL | |
|
SSA_STATE_CD
|
Integer | 1 | |
|
STATE_RGN_CD
|
String | LAB | |
|
ST_ADR
|
String | 1000 FIRST STREET, NORTH | |
|
PHNE_NUM
|
Integer | 2056208902 | |
|
PGM_TRMNTN_CD
|
Integer | 0 | |
|
TRMNTN_EXPRTN_DT
|
Integer | 20130208 | |
|
CRTFCTN_ACTN_TYPE_CD
|
|||
|
GNRL_CNTL_TYPE_CD
|
Integer | 6 | |
|
ZIP_CD
|
Integer | 35007 | |
|
FIPS_STATE_CD
|
Integer | 1 | |
|
FIPS_CNTY_CD
|
Integer | 117 | |
|
CBSA_URBN_RRL_IND
|
String | U | |
|
CBSA_CD
|
|||
|
ADDTNL_ST_ADR
|
|||
|
AFFILIATED_PROVIDER_NUMBER_1
|
String | 01D0663476 | |
|
AFFILIATED_PROVIDER_NUMBER_2
|
String | 01D0686149 | |
|
AFFILIATED_PROVIDER_NUMBER_3
|
|||
|
AFFILIATED_PROVIDER_NUMBER_4
|
|||
|
AFFILIATED_PROVIDER_NUMBER_5
|
|||
|
AFFILIATED_PROVIDER_NUMBER_6
|
|||
|
AFFILIATED_PROVIDER_NUMBER_7
|
|||
|
AFFILIATED_PROVIDER_NUMBER_8
|
|||
|
A2LA_ACRDTD_CD
|
|||
|
A2LA_ACRDTD_Y_MATCH_DT
|
|||
|
A2LA_ACRDTD_Y_MATCH_SW
|
|||
|
AABB_ACRDTD_CD
|
|||
|
AABB_ACRDTD_Y_MATCH_DT
|
|||
|
AABB_ACRDTD_Y_MATCH_SW
|
|||
|
AOA_ACRDTD_CD
|
|||
|
AOA_ACRDTD_Y_MATCH_DT
|
|||
|
AOA_ACRDTD_Y_MATCH_SW
|
|||
|
ASHI_ACRDTD_CD
|
|||
|
ASHI_ACRDTD_Y_MATCH_DT
|
|||
|
ASHI_ACRDTD_Y_MATCH_SW
|
|||
|
CAP_ACRDTD_CD
|
|||
|
CAP_ACRDTD_Y_MATCH_DT
|
|||
|
CAP_ACRDTD_Y_MATCH_SW
|
|||
|
COLA_ACRDTD_CD
|
|||
|
COLA_ACRDTD_Y_MATCH_DT
|
|||
|
COLA_ACRDTD_Y_MATCH_SW
|
|||
|
JCAHO_ACRDTD_CD
|
String | X | |
|
JCAHO_ACRDTD_Y_MATCH_DT
|
Integer | 20000919 | |
|
JCAHO_ACRDTD_Y_MATCH_SW
|
Boolean | t | |
|
APLCTN_RCVD_DT
|
Integer | 19930223 | |
|
APLCTN_TYPE_CD
|
Integer | 3 | |
|
GNRL_FAC_TYPE_CD
|
|||
|
CRTFCT_EFCTV_DT
|
Integer | 20110209 | |
|
CRTFCT_MAIL_DT
|
Integer | 20110115 | |
|
CRTFCT_TYPE_CD
|
Integer | 3 | |
|
CURRENT_CLIA_LAB_CLSFCTN_CD
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_1
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_10
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_2
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_3
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_4
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_5
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_6
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_7
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_8
|
Integer | 0 | |
|
CLIA_LAB_CLASSIFICATION_CD_9
|
Integer | 0 | |
|
CLIA_MDCR_NUM
|
Integer | 4110 | |
|
CLIA_TRMNTN_CD
|
Integer | 0 | |
|
ACRDTN_SCHDL_CD
|
String | I | |
|
FORM_116_ACRDTD_TEST_VOL_CNT
|
Integer | 875249 | |
|
FORM_116_TEST_VOL_CNT
|
Integer | 0 | |
|
DRCTLY_AFLTD_LAB_CNT
|
Integer | 2 | |
|
FAX_PHNE_NUM
|
|||
|
FY_END_MO_DAY_CD
|
|||
|
MLT_SITE_EXCPTN_SW
|
Boolean | f | |
|
HOSP_LAB_EXCPTN_SW
|
|||
|
NON_PRFT_EXCPTN_SW
|
Boolean | f | |
|
LAB_TEMP_TSTG_SITE_SW
|
|||
|
LAB_SITE_CNT
|
Integer | 0 | |
|
PPMP_TEST_VOL_CNT
|
Integer | 0 | |
|
ADDTNL_FAC_NAME
|
|||
|
RELATED_PROVIDER_NUMBER
|
|||
|
SHR_LAB_SW
|
Boolean | f | |
|
SHARED_LAB_XREF_NUMBER
|
|||
|
FORM_1557_CRTFCT_SCHDL_CD
|
|||
|
FORM_1557_CMPLNC_SCHDL_CD
|
|||
|
FORM_1557_TEST_VOL_CNT
|
Integer | 0 | |
|
WVD_TEST_VOL_CNT
|
|||
|
PROV0085
|
|||
|
PROV0075
|
|||
|
PROV0095
|
|||
|
PROV0100
|
|||
|
PROV3225
|
|||
|
PROV0220
|
|||
|
PROV2715
|
|||
|
PROV2695
|
|||
|
PROV0300
|
|||
|
PROV0500
|
|||
|
PROV2740
|
|||
|
PROV0455
|
|||
|
PROV0475
|
|||
|
PROV0605
|
|||
|
PROV0655
|
|||
|
PROV1565
|
|||
|
PROV1615
|
|||
|
PROV1620
|
|||
|
PROV1680
|
|||
|
REC_STUS_CD
|
String | A | |
|
PROV1720
|
|||
|
PROV1725
|
|||
|
PROV2045
|
|||
|
PROV3230
|
|||
|
PROV2700
|
|||
|
PROV2710
|
|||
|
PROV2720
|
|||
|
PROV1605
|
|||
|
PROV4770
|
|||
|
PROV4500
|
|||
|
SRVY_PRPSE_CD
|
|||
|
PROV2880
|
|||
|
PROV2885
|
|||
|
PROV2905
|
|||
|
FIPSTATE
|
|||
|
FIPCNTY
|
|||
|
SSAMSACD
|
|||
|
SSAMSASZ
|
|||
|
PROV0000
|
|||
|
PROV0005
|
|||
|
PROV0010
|
|||
|
PROV0740
|
|||
|
PROV0755
|
|||
|
PROV0760
|
|||
|
PROV0130
|
|||
|
PROV0135
|
|||
|
PROV0140
|
|||
|
PROV0145
|
|||
|
PROV0150
|
|||
|
PROV0240
|
|||
|
PROV0280
|
|||
|
PROV0285
|
|||
|
PROV0290
|
|||
|
PROV3545
|
|||
|
PROV3555
|
|||
|
PROV3550
|
|||
|
PROV0450
|
|||
|
PROV0820
|
|||
|
PROV0485
|
|||
|
PROV0955
|
|||
|
PROV0645
|
|||
|
PROV6290
|
|||
|
PROV0670
|
|||
|
PROV6295
|
|||
|
PROV1050
|
|||
|
PROV1075
|
|||
|
PROV1575
|
|||
|
PROV1125
|
|||
|
PROV1115
|
|||
|
PROV1670
|
|||
|
PROV1690
|
|||
|
PROV1695
|
|||
|
PROV1700
|
|||
|
PROV1705
|
|||
|
PROV1710
|
|||
|
PROV6300
|
|||
|
PROV6305
|
|||
|
PROV1545
|
|||
|
PROV1550
|
|||
|
PROV1555
|
|||
|
PROV1145
|
|||
|
PROV1100
|
|||
|
PROV1730
|
|||
|
PROV1735
|
|||
|
VLDTN_SRVY_DT
|
|||
|
PROV1740
|
|||
|
PROV1745
|
|||
|
PROV1750
|
|||
|
PROV1805
|
|||
|
PROV1810
|
|||
|
PROV1815
|
|||
|
CLIA_67_LCNSD_SW
|
Boolean | t | |
|
PROV1820
|
|||
|
PROV1165
|
|||
|
PROV0950
|
|||
|
PROV2055
|
|||
|
PROV2065
|
|||
|
PROV6155
|
|||
|
PROV2070
|
|||
|
PROV6160
|
|||
|
PROV5675
|
|||
|
PROV2090
|
|||
|
PROV6165
|
|||
|
PROV2285
|
|||
|
PROV6170
|
|||
|
PROV2100
|
|||
|
PROV6175
|
|||
|
PROV2120
|
|||
|
PROV2130
|
|||
|
PROV6180
|
|||
|
PROV2140
|
|||
|
PROV6190
|
|||
|
PROV2160
|
|||
|
PROV2175
|
|||
|
PROV2110
|
|||
|
PROV2185
|
|||
|
PROV6195
|
|||
|
PROV6200
|
|||
|
PROV6205
|
|||
|
PROV2205
|
|||
|
PROV2210
|
|||
|
PROV2215
|
|||
|
PROV6210
|
|||
|
PROV2235
|
|||
|
PROV6215
|
|||
|
PROV2245
|
|||
|
PROV2265
|
|||
|
PROV2270
|
|||
|
PROV2300
|
|||
|
PROV6220
|
|||
|
PROV2295
|
|||
|
PROV2310
|
|||
|
PROV2315
|
|||
|
PROV6225
|
|||
|
PROV2350
|
|||
|
PROV2355
|
|||
|
PROV2360
|
|||
|
PROV6230
|
|||
|
PROV2365
|
|||
|
PROV2370
|
|||
|
PROV2410
|
|||
|
PROV2415
|
|||
|
PROV6245
|
|||
|
PROV6250
|
|||
|
PROV6255
|
|||
|
PROV6240
|
|||
|
PROV6235
|
|||
|
PROV2440
|
|||
|
PROV2445
|
|||
|
PROV6260
|
|||
|
PROV6270
|
|||
|
PROV6265
|
|||
|
PROV2450
|
|||
|
PROV6185
|
|||
|
PROV2485
|
|||
|
PROV2505
|
|||
|
PROV2190
|
|||
|
PROV6275
|
|||
|
PROV2475
|
|||
|
PROV6280
|
|||
|
PROV2795
|
|||
|
PROV2800
|
|||
|
PROV2890
|
|||
|
PROV0690
|
|||
|
PROV0695
|
|||
|
PROV0700
|
|||
|
PROV0705
|
|||
|
PROV0710
|
|||
|
PROV0715
|
|||
|
PROV0720
|
|||
|
PROV1445
|
|||
|
PROV1455
|
|||
|
PROV1450
|
|||
|
PROV1000
|
|||
|
PROV1005
|
|||
|
PROV1010
|
|||
|
PROV0110
|
|||
|
PROV0225
|
|||
|
PROV0270
|
|||
|
PROV0295
|
|||
|
PROV0785
|
|||
|
PROV0790
|
|||
|
PROV0795
|
|||
|
PROV0805
|
|||
|
PROV0810
|
|||
|
PROV0815
|
|||
|
PROV0465
|
|||
|
PROV0860
|
|||
|
PROV0865
|
|||
|
PROV0870
|
|||
|
PROV0925
|
|||
|
PROV0930
|
|||
|
PROV0935
|
|||
|
PROV1465
|
|||
|
PROV1470
|
|||
|
PROV1475
|
|||
|
PROV0640
|
|||
|
PROV0960
|
|||
|
PROV0965
|
|||
|
PROV0970
|
|||
|
PROV5180
|
|||
|
PROV5170
|
|||
|
PROV5175
|
|||
|
PROV0980
|
|||
|
PROV0985
|
|||
|
PROV0990
|
|||
|
PROV0680
|
|||
|
PROV0675
|
|||
|
PROV5165
|
|||
|
PROV5155
|
|||
|
PROV5160
|
|||
|
PROV5150
|
|||
|
PROV5135
|
|||
|
PROV5145
|
|||
|
PROV1040
|
|||
|
PROV1035
|
|||
|
PROV1020
|
|||
|
PROV1025
|
|||
|
PROV1030
|
|||
|
PROV5195
|
|||
|
PROV5185
|
|||
|
PROV5190
|
|||
|
PROV1045
|
|||
|
PROV1535
|
|||
|
PROV1540
|
|||
|
PROV3265
|
|||
|
PROV3245
|
|||
|
PROV3255
|
|||
|
PROV5270
|
|||
|
PROV5260
|
|||
|
PROV5305
|
|||
|
PROV1060
|
|||
|
PROV1065
|
|||
|
PROV1070
|
|||
|
PROV5300
|
|||
|
PROV5290
|
|||
|
PROV5295
|
|||
|
PROV1085
|
|||
|
PROV1090
|
|||
|
PROV1095
|
|||
|
PROV5210
|
|||
|
PROV5200
|
|||
|
PROV5205
|
|||
|
PROV1430
|
|||
|
PROV1435
|
|||
|
PROV1440
|
|||
|
PROV1415
|
|||
|
PROV1420
|
|||
|
PROV1425
|
|||
|
PROV3270
|
|||
|
PROV3250
|
|||
|
PROV3260
|
|||
|
PROV1130
|
|||
|
PROV1135
|
|||
|
PROV1140
|
|||
|
PROV1675
|
|||
|
PROV1150
|
|||
|
PROV1155
|
|||
|
PROV1160
|
|||
|
PROV1755
|
|||
|
PROV5130
|
|||
|
PROV5120
|
|||
|
PROV5140
|
|||
|
PROV1170
|
|||
|
PROV1175
|
|||
|
PROV1180
|
|||
|
PROV0725
|
|||
|
PROV0730
|
|||
|
PROV0800
|
|||
|
PROV0855
|
|||
|
PROV0905
|
|||
|
PROV0920
|
|||
|
PROV0940
|
|||
|
PROV1205
|
|||
|
PROV1460
|
|||
|
PROV1190
|
|||
|
PROV1195
|
|||
|
PROV1200
|
|||
|
PROV3390
|
|||
|
PROV3385
|
|||
|
PROV3380
|
|||
|
PROV3525
|
|||
|
PROV3520
|
|||
|
PROV3515
|
|||
|
PROV3495
|
|||
|
PROV3490
|
|||
|
PROV3485
|
|||
|
PROV3435
|
|||
|
PROV3430
|
|||
|
PROV3425
|
|||
|
PROV3345
|
|||
|
PROV3340
|
|||
|
PROV3335
|
|||
|
PROV3535
|
|||
|
PROV3540
|
|||
|
PROV3530
|
|||
|
PROV3465
|
|||
|
PROV3460
|
|||
|
PROV3455
|
|||
|
PROV3315
|
|||
|
PROV3310
|
|||
|
PROV3305
|
|||
|
PROV3360
|
|||
|
PROV3355
|
|||
|
PROV3350
|
|||
|
PROV5255
|
|||
|
PROV5250
|
|||
|
PROV5245
|
|||
|
PROV5285
|
|||
|
PROV5280
|
|||
|
PROV5275
|
|||
|
PROV3330
|
|||
|
PROV3325
|
|||
|
PROV3320
|
|||
|
PROV3300
|
|||
|
PROV3295
|
|||
|
PROV3290
|
|||
|
PROV3375
|
|||
|
PROV3370
|
|||
|
PROV3365
|
|||
|
PROV3285
|
|||
|
PROV3280
|
|||
|
PROV3275
|
|||
|
PROV3450
|
|||
|
PROV3445
|
|||
|
PROV3440
|
|||
|
PROV3405
|
|||
|
PROV3400
|
|||
|
PROV3395
|
|||
|
PROV3420
|
|||
|
PROV3415
|
|||
|
PROV3410
|
|||
|
PROV5225
|
|||
|
PROV5220
|
|||
|
PROV5215
|
|||
|
PROV3480
|
|||
|
PROV3475
|
|||
|
PROV3470
|
|||
|
PROV3510
|
|||
|
PROV3505
|
|||
|
PROV3500
|
|||
|
PROV5240
|
|||
|
PROV5230
|
|||
|
PROV5235
|
|||
|
PROV0555
|
|||
|
PROV1525
|
|||
|
PROV0745
|
|||
|
PROV0105
|
|||
|
PROV0560
|
|||
|
PROV0910
|
|||
|
PROV0665
|
|||
|
PROV0570
|
|||
|
PROV0650
|
|||
|
PROV1185
|
|||
|
PROV1220
|
|||
|
PROV2075
|
|||
|
PROV2155
|
|||
|
PROV2195
|
|||
|
PROV2220
|
|||
|
PROV2250
|
|||
|
PROV2255
|
|||
|
PROV2340
|
|||
|
PROV2520
|
|||
|
PROV2535
|
|||
|
PROV2725
|
|||
|
PROV1530
|
|||
|
PROV1240
|
|||
|
PROV5680
|
|||
|
PROV1715
|
|||
|
PROV0735
|
|||
|
PROV0750
|
|||
|
PROV1515
|
|||
|
PROV1105
|
|||
|
PROV1120
|
|||
|
PROV1215
|
|||
|
PROV1210
|
|||
|
PROV0685
|
|||
|
PROV5540
|
|||
|
PROV1230
|
|||
|
PROV2855
|
|||
|
PROV0030
|
|||
|
PROV0945
|
|||
|
PROV0780
|
|||
|
PROV0620
|
|||
|
PROV0625
|
|||
|
PROV0630
|
|||
|
PROV1610
|
|||
|
PROV1630
|
|||
|
PROV1635
|
|||
|
PROV1640
|
|||
|
PROV1825
|
|||
|
PROV2850
|
|||
|
PROV0480
|
|||
|
PROV1015
|
|||
|
PROV1560
|
|||
|
PROV1110
|
|||
|
PROV2845
|
|||
|
PROV1570
|
|||
|
PROV6140
|
|||
|
PROV6145
|
|||
|
PROV2275
|
|||
|
PROV2280
|
|||
|
PROV2325
|
|||
|
PROV2330
|
|||
|
PROV2335
|
|||
|
PROV2375
|
|||
|
PROV2380
|
|||
|
PROV2385
|
|||
|
PROV2390
|
|||
|
PROV2395
|
|||
|
PROV2420
|
|||
|
PROV2425
|
|||
|
PROV2430
|
|||
|
PROV2455
|
|||
|
PROV2460
|
|||
|
PROV2465
|
|||
|
PROV2490
|
|||
|
PROV2495
|
|||
|
PROV2510
|
|||
|
PROV2515
|
|||
|
PROV0415
|
|||
|
PROV0550
|
|||
|
PROV0565
|
|||
|
PROV1055
|
|||
|
PROV2095
|
|||
|
PROV2145
|
|||
|
PROV2150
|
|||
|
PROV2240
|
|||
|
PROV2260
|
|||
|
PROV2290
|
|||
|
PROV2305
|
|||
|
PROV2320
|
|||
|
PROV2345
|
|||
|
PROV2400
|
|||
|
PROV2525
|
|||
|
PROV2530
|
|||
|
PROV2135
|
|||
|
PROV2200
|
|||
|
PROV2435
|
|||
|
PROV0015
|
|||
|
PROV1225
|
|||
|
PROV1480
|
|||
|
PROV1485
|
|||
|
PROV0915
|
|||
|
PROV1490
|
|||
|
PROV1495
|
|||
|
PROV0975
|
|||
|
PROV1510
|
|||
|
PROV1500
|
|||
|
PROV1505
|
|||
|
PROV2115
|
|||
|
PROV2165
|
|||
|
PROV2170
|
|||
|
PROV2225
|
|||
|
PROV2480
|
|||
|
PROV1080
|
|||
|
PROV2860
|
|||
|
PROV3710
|
|||
|
PROV3705
|
|||
|
PROV3700
|
|||
|
PROV4205
|
|||
|
PROV4200
|
|||
|
PROV4225
|
|||
|
PROV6535
|
|||
|
PROV4210
|
|||
|
PROV4215
|
|||
|
PROV4195
|
|||
|
PROV5040
|
|||
|
PROV5045
|
|||
|
PROV5055
|
|||
|
PROV6530
|
|||
|
PROV5060
|
|||
|
PROV5065
|
|||
|
PROV5070
|
|||
|
PROV4970
|
|||
|
PROV4975
|
|||
|
PROV4985
|
|||
|
PROV6540
|
|||
|
PROV4990
|
|||
|
PROV4960
|
|||
|
PROV4995
|
|||
|
PROV4240
|
|||
|
PROV4245
|
|||
|
PROV4250
|
|||
|
PROV4255
|
|||
|
PROV4260
|
|||
|
PROV4265
|
|||
|
PROV4270
|
|||
|
PROV4275
|
|||
|
PROV4390
|
|||
|
PROV4365
|
|||
|
PROV4340
|
|||
|
PROV4325
|
|||
|
PROV4695
|
|||
|
PROV6555
|
|||
|
PROV6600
|
|||
|
PROV6560
|
|||
|
PROV6565
|
|||
|
PROV6570
|
|||
|
PROV6575
|
|||
|
PROV6605
|
|||
|
PROV6585
|
|||
|
PROV6590
|
|||
|
PROV6595
|
|||
|
PROV3810
|
|||
|
PROV4700
|
|||
|
PROV3860
|
|||
|
PROV4885
|
|||
|
PROV5935
|
|||
|
PROV5800
|
|||
|
PROV5945
|
|||
|
PROV5940
|
|||
|
PROV5955
|
|||
|
PROV5965
|
|||
|
PROV5990
|
|||
|
PROV5985
|
|||
|
PROV5975
|
|||
|
PROV5970
|
|||
|
PROV5960
|
|||
|
PROV5950
|
|||
|
PROV4175
|
|||
|
PROV4190
|
|||
|
PROV4180
|
|||
|
PROV4235
|
|||
|
PROV5980
|
|||
|
PROV3610
|
|||
|
PROV4890
|
|||
|
PROV4880
|
|||
|
PROV4470
|
|||
|
PROV4475
|
|||
|
PROV4460
|
|||
|
PROV5805
|
|||
|
PROV6430
|
|||
|
PROV4280
|
[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] Skilled Nursing Facility Enrollments
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 551e0be0-d6d0-5a45-b2e2-d0f5e23e8429 | |
|
FILE_ID
|
String | 00e0a528-7d5e-5234-b921-0962cb25eee5 | |
|
FILE_FEED_ID
|
String | 5597a947-9d3f-588f-8566-74e9ebe2e173 | |
|
FILE_NAME
|
String | SNF_Enrollments_2024.01.05.csv | |
|
ROWNUM
|
Integer | 1 | |
|
ENROLLMENT_ID
|
String | O20020801000000 | |
|
ENROLLMENT_STATE
|
String | NC | |
|
PROVIDER_TYPE_CODE
|
String | 00-18 | |
|
PROVIDER_TYPE_TEXT
|
String | PART A PROVIDER - SKILLED NURSING FACILITY | |
|
NPI
|
Integer | 1346210291 | |
|
MULTIPLE_NPI_FLAG
|
Boolean | f | |
|
CCN
|
Integer | 345500 | |
|
ASSOCIATE_ID
|
Integer | 6103733167 | |
|
ORGANIZATION_NAME
|
String | WINDSOR POINT INC. | |
|
DOING_BUSINESS_AS_NAME
|
String | WINDSOR POINT INC CCRC | |
|
INCORPORATION_DATE
|
DateTime | 1995-07-07T00:00:00+00:00 | |
|
INCORPORATION_STATE
|
String | NC | |
|
ORGANIZATION_TYPE_STRUCTURE
|
String | CORPORATION | |
|
ORGANIZATION_OTHER_TYPE_TEXT
|
|||
|
PROPRIETARY_NONPROFIT
|
String | P | |
|
NURSING_HOME_PROVIDER_NAME
|
String | WINDSOR POINT CONTINUING CARE | |
|
AFFILIATION_ENTITY_NAME
|
|||
|
AFFILIATION_ENTITY_ID
|
|||
|
ADDRESS_LINE_1
|
String | 1221 BROAD STREET | |
|
ADDRESS_LINE_2
|
|||
|
CITY
|
String | FUQUAY-VARINA | |
|
STATE
|
String | NC | |
|
ZIP_CODE
|
Integer | 275263602 |
[Sample] Medicare Advantage Geographic Variation National State
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 301b985c-a67c-5be3-98ac-7138dc0a4bf8 | |
|
FILE_ID
|
String | 54856961-a3d4-59d5-8026-9c0bdd7df296 | |
|
FILE_FEED_ID
|
String | 25c400d0-fc3d-5ff3-8551-da346146c6bc | |
|
FILE_NAME
|
String | MA%20GV%20PUF_2016-2021_RY24.csv | |
|
ROWNUM
|
Integer | 1 | |
|
YEAR
|
Integer | 2016 | |
|
STATE
|
String | AK | |
|
BENE_GEO_CD
|
Integer | 2 | |
|
BENES_MA_CNT
|
Integer | 573 | |
|
BENE_AVG_AGE
|
Integer | 74 | |
|
BENE_FEML_PCT
|
Float | 0.5271 | |
|
BENE_MALE_PCT
|
Float | 0.4729 | |
|
BENE_RACE_WHT_PCT
|
Float | 0.8115 | |
|
BENE_RACE_BLACK_PCT
|
Float | 0.0314 | |
|
BENE_RACE_HSPNC_PCT
|
Float | 0.0593 | |
|
BENE_RACE_OTHR_PCT
|
Float | 0.0977 | |
|
BENE_DUAL_PCT
|
Float | 0.1902 | |
|
BENES_IP_STAY_CNT
|
Integer | 81 | |
|
BENES_IP_PCT
|
Float | 0.1414 | |
|
IP_STAYS_PER_1000_BENES
|
Float | 209.4241 | |
|
IP_DAYS_PER_1000_BENES
|
Float | 1289.7033 | |
|
BENES_IRF_CNT
|
|||
|
BENES_IRF_PCT
|
|||
|
IRF_STAYS_PER_1000_BENES
|
|||
|
IRF_DAYS_PER_1000_BENES
|
|||
|
BENES_LTC_CNT
|
Integer | 0 | |
|
BENES_LTC_PCT
|
Float | 0.0 | |
|
LTC_STAYS_PER_1000_BENES
|
Float | 0.0 | |
|
LTC_DAYS_PER_1000_BENES
|
Float | 0.0 | |
|
BENES_SNF_CNT
|
Integer | 22 | |
|
BENES_SNF_PCT
|
Float | 0.0384 | |
|
SNF_STAYS_PER_1000_BENES
|
Float | 57.5916 | |
|
SNF_DAYS_PER_1000_BENES
|
Float | 958.1152 | |
|
BENES_EM_CNT
|
Integer | 514 | |
|
BENES_EM_PCT
|
Float | 0.897 | |
|
EM_EVENTS_PER_1000_BENES
|
Float | 11006.9808 | |
|
BENES_PRCDRS_CNT
|
Integer | 271 | |
|
BENES_PRCDRS_PCT
|
Float | 0.4729 | |
|
PRCDRS_EVENTS_PER_1000_BENES
|
Float | 2080.2792 | |
|
BENES_TESTS_CNT
|
Integer | 427 | |
|
BENES_TESTS_PCT
|
Float | 0.7452 | |
|
TESTS_EVENTS_PER_1000_BENES
|
Float | 5198.9529 | |
|
BENES_IMGNG_CNT
|
Integer | 367 | |
|
BENES_IMGNG_PCT
|
Float | 0.6405 | |
|
IMGNG_EVENTS_PER_1000_BENES
|
Float | 3335.0785 | |
|
BENES_DME_CNT
|
Integer | 135 | |
|
BENES_DME_PCT
|
Float | 0.2356 | |
|
DME_EVENTS_PER_1000_BENES
|
Float | 1493.8918 | |
|
BENES_AMBLNC_CNT
|
Integer | 86 | |
|
BENES_AMBLNC_PCT
|
Float | 0.1501 | |
|
AMBLNC_EVENTS_PER_1000_BENES
|
Float | 390.925 | |
|
BENES_TRTMNT_CNT
|
Integer | 253 | |
|
BENES_TRTMNT_PCT
|
Float | 0.4415 | |
|
TRTMNT_EVENTS_PER_1000_BENES
|
Float | 2148.3421 | |
|
BENES_OP_DLYS_CNT
|
|||
|
BENES_OP_DLYS_PCT
|
|||
|
OP_DLYS_VISITS_PER_1000_BENES
|
|||
|
BENES_FQHC_RHC_CNT
|
|||
|
BENES_FQHC_RHC_PCT
|
|||
|
FQHC_RHC_VISITS_PER_1000_BENES
|
|||
|
BENES_OP_CNT
|
Integer | 309 | |
|
BENES_OP_PCT
|
Float | 0.5393 | |
|
OP_VISITS_PER_1000_BENES
|
Float | 2406.6318 | |
|
BENES_ER_VISITS_CNT
|
Integer | 230 | |
|
BENES_ER_VISITS_PCT
|
Float | 0.4014 | |
|
ER_VISITS_PER_1000_BENES
|
Float | 401.3962 | |
|
__YEAR
|
|||
|
MA_OP_POPN
|
|||
|
IP_STAY_PER_1000_BENES
|
[Sample] Payroll Based Journal Daily Nonnurse Staffing
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 0212f470-f0d2-5e23-bd16-514c2872fb53 | |
|
FILE_ID
|
String | 0c6a6360-71cd-51cb-9cde-3f5a0ca3dc50 | |
|
FILE_FEED_ID
|
String | 14bce65b-1c55-587c-9e0d-f701bb1c6edf | |
|
FILE_NAME
|
String | PBJ_dailyNonnursestaffing_CY2017Q2%20%281%29.csv | |
|
ROWNUM
|
Integer | 1 | |
|
PROVNUM
|
Integer | 6666 | |
|
PROVNAME
|
String | HIGHLANDS HEALTH AND REHAB | |
|
CITY
|
String | SCOTTSBORO | |
|
STATE
|
String | AL | |
|
COUNTY_NAME
|
String | Jackson | |
|
COUNTY_FIPS
|
Integer | 71 | |
|
CY_QTR
|
String | 2017Q2 | |
|
WORKDATE
|
Integer | 20170401 | |
|
MDSCENSUS
|
Integer | 48 | |
|
HRS_ADMIN
|
Float | 0.0 | |
|
HRS_ADMIN_EMP
|
Float | 0.0 | |
|
HRS_ADMIN_CTR
|
Float | 0.0 | |
|
HRS_ADMIN_FN
|
|||
|
HRS_MEDDIR
|
Float | 0.0 | |
|
HRS_MEDDIR_EMP
|
Float | 0.0 | |
|
HRS_MEDDIR_CTR
|
Float | 0.0 | |
|
HRS_OTHMD
|
Float | 0.0 | |
|
HRS_OTHMD_EMP
|
Float | 0.0 | |
|
HRS_OTHMD_CTR
|
Float | 0.0 | |
|
HRS_PA
|
Float | 0.0 | |
|
HRS_PA_EMP
|
Float | 0.0 | |
|
HRS_PA_CTR
|
Float | 0.0 | |
|
HRS_NP
|
Float | 0.0 | |
|
HRS_NP_EMP
|
Float | 0.0 | |
|
HRS_NP_CTR
|
Float | 0.0 | |
|
HRS_CLINNRSSPEC
|
Float | 0.0 | |
|
HRS_CLINNRSSPEC_EMP
|
Float | 0.0 | |
|
HRS_CLINNRSSPEC_CTR
|
Float | 0.0 | |
|
HRS_PHARMACIST
|
Float | 0.0 | |
|
HRS_PHARMACIST_EMP
|
Float | 0.0 | |
|
HRS_PHARMACIST_CTR
|
Float | 0.0 | |
|
HRS_DIETICIAN
|
Float | 0.0 | |
|
HRS_DIETICIAN_EMP
|
Float | 0.0 | |
|
HRS_DIETICIAN_CTR
|
Float | 0.0 | |
|
HRS_FEEDASST
|
Float | 0.0 | |
|
HRS_FEEDASST_EMP
|
Float | 0.0 | |
|
HRS_FEEDASST_CTR
|
Float | 0.0 | |
|
HRS_OT
|
Float | 0.0 | |
|
HRS_OT_EMP
|
Float | 0.0 | |
|
HRS_OT_CTR
|
Float | 0.0 | |
|
HRS_OTASST
|
Float | 0.0 | |
|
HRS_OTASST_EMP
|
Float | 0.0 | |
|
HRS_OTASST_CTR
|
Float | 0.0 | |
|
HRS_OTAIDE
|
Float | 0.0 | |
|
HRS_OTAIDE_EMP
|
Float | 0.0 | |
|
HRS_OTAIDE_CTR
|
Float | 0.0 | |
|
HRS_PT
|
Float | 0.0 | |
|
HRS_PT_EMP
|
Float | 0.0 | |
|
HRS_PT_CTR
|
Float | 0.0 | |
|
HRS_PTASST
|
Float | 0.0 | |
|
HRS_PTASST_EMP
|
Float | 0.0 | |
|
HRS_PTASST_CTR
|
Float | 0.0 | |
|
HRS_PTAIDE
|
Float | 0.0 | |
|
HRS_PTAIDE_EMP
|
Float | 0.0 | |
|
HRS_PTAIDE_CTR
|
Float | 0.0 | |
|
HRS_RESPTHER
|
Float | 0.0 | |
|
HRS_RESPTHER_EMP
|
Float | 0.0 | |
|
HRS_RESPTHER_CTR
|
Float | 0.0 | |
|
HRS_RESPTECH
|
Float | 0.0 | |
|
HRS_RESPTECH_EMP
|
Float | 0.0 | |
|
HRS_RESPTECH_CTR
|
Float | 0.0 | |
|
HRS_SPCLANGPATH
|
Float | 0.0 | |
|
HRS_SPCLANGPATH_EMP
|
Float | 0.0 | |
|
HRS_SPCLANGPATH_CTR
|
Float | 0.0 | |
|
HRS_THERRECSPEC
|
Float | 0.0 | |
|
HRS_THERRECSPEC_EMP
|
Float | 0.0 | |
|
HRS_THERRECSPEC_CTR
|
Float | 0.0 | |
|
HRS_QUALACTVPROF
|
Float | 0.0 | |
|
HRS_QUALACTVPROF_EMP
|
Float | 0.0 | |
|
HRS_QUALACTVPROF_CTR
|
Float | 0.0 | |
|
HRS_OTHACTV
|
Float | 7.0 | |
|
HRS_OTHACTV_EMP
|
Float | 7.0 | |
|
HRS_OTHACTV_CTR
|
Float | 0.0 | |
|
HRS_QUALSOCWRK
|
Float | 0.0 | |
|
HRS_QUALSOCWRK_EMP
|
Float | 0.0 | |
|
HRS_QUALSOCWRK_CTR
|
Float | 0.0 | |
|
HRS_OTHSOCWRK
|
Float | 0.0 | |
|
HRS_OTHSOCWRK_EMP
|
Float | 0.0 | |
|
HRS_OTHSOCWRK_CTR
|
Float | 0.0 | |
|
HRS_MHSVC
|
Float | 0.0 | |
|
HRS_MHSVC_EMP
|
Float | 0.0 | |
|
HRS_MHSVC_CTR
|
Float | 0.0 | |
|
INCOMPLETE
|
[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] Market Saturation Utilization Statecounty
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 8c3e3343-8636-5a5a-b9c9-0b204e5a47dc | |
|
FILE_ID
|
String | 33f03c98-ad46-5a74-ba9a-c70714d65c83 | |
|
FILE_FEED_ID
|
String | fd2f4333-9292-50ef-84fb-fff7944e2f90 | |
|
FILE_NAME
|
String | Market_Saturation_and_Utilization_State_County_Dataset_Re... | |
|
ROWNUM
|
Integer | 1 | |
|
REFERENCE_PERIOD
|
String | 2019-01-01 to 2019-12-31 | |
|
TYPE_OF_SERVICE
|
String | Ambulance (Emergency & Non-Emergency) | |
|
AGGREGATION_LEVEL
|
String | NATION + TERRITORIES | |
|
STATE
|
String | --ALL-- | |
|
COUNTY
|
String | --ALL-- | |
|
STATE_FIPS
|
|||
|
COUNTY_FIPS
|
|||
|
NUMBER_OF_FEE_FOR_SERVICE_BENEFICIARIES
|
String | 36,122,263 | |
|
NUMBER_OF_PROVIDERS
|
String | 8,814 | |
|
AVERAGE_NUMBER_OF_USERS_PER_PROVIDER
|
Float | 495.69 | |
|
PERCENTAGE_OF_USERS_OUT_OF_FFS_BENEFICIARIES
|
String | 12.09% | |
|
NUMBER_OF_USERS
|
String | 4,368,976 | |
|
AVERAGE_NUMBER_OF_PROVIDERS_PER_COUNTY
|
Float | 39.85 | |
|
NUMBER_OF_DUAL_ELIGIBLE_USERS
|
String | 1,348,463 | |
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_TOTAL_USERS
|
String | 30.86% | |
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_DUAL_ELIGIBLE_FFS_BENEFICIARIES
|
String | 20.52% | |
|
TOTAL_PAYMENT
|
String | $4,037,494,106.32 | |
|
MORATORIUM
|
|||
|
NUMBER_OF_FEE_FOR_SERVICE_BENEFICIARIES_DUAL_COLOR
|
|||
|
NUMBER_OF_FEE_FOR_SERVICE_BENEFICIARIES_DESCRIPTION
|
|||
|
NUMBER_OF_PROVIDERS_DUAL_COLOR
|
|||
|
NUMBER_OF_PROVIDERS_DESCRIPTION
|
|||
|
AVERAGE_NUMBER_OF_USERS_PER_PROVIDER_DUAL_COLOR
|
|||
|
AVERAGE_NUMBER_OF_USERS_PER_PROVIDER_DESCRIPTION
|
|||
|
PERCENTAGE_OF_USERS_OUT_OF_FFS_BENEFICIARIES_DUAL_COLOR
|
|||
|
PERCENTAGE_OF_USERS_OUT_OF_FFS_BENEFICIARIES_DESCRIPTION
|
|||
|
NUMBER_OF_USERS_DUAL_COLOR
|
|||
|
TNUMBER_OF_USERS_DESCRIPTION
|
|||
|
AVERAGE_NUMBER_OF_PROVIDERS_PER_COUNTY_DUAL_COLOR
|
|||
|
AVERAGE_NUMBER_OF_PROVIDERS_PER_COUNTY_DESCRIPTION
|
|||
|
NUMBER_OF_DUAL_ELIGIBLE_USERS_DUAL_COLOR
|
|||
|
NUMBER_OF_DUAL_ELIGIBLE_USERS_DESCRIPTION
|
|||
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_TOTAL_USERS_DUAL_COLOR
|
|||
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_TOTAL_USERS_DESCRIPTION
|
|||
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_DUAL_ELIGIBLE_FFS_BENEFICIARIES_DUAL_COLOR
|
|||
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_DUAL_ELIGIBLE_FFS_BENEFICIARIES_DESCRIPTION
|
|||
|
TOTAL_PAYMENT_DUAL_COLOR
|
|||
|
TOTAL_PAYMENT_DESCRIPTION
|
|||
|
NUMBER_OF_FEE_FOR_SERVICE_BENEFICIARIES_CHANGE
|
String | 5.81% | |
|
NUMBER_OF_PROVIDERS_CHANGE
|
String | 0.34% | |
|
AVERAGE_NUMBER_OF_USERS_PER_PROVIDER_CHANGE
|
String | 1.28% | |
|
PERCENTAGE_OF_USERS_OUT_OF_FFS_BENEFICIARIES_CHANGE
|
String | ( 3.97%) | |
|
NUMBER_OF_USERS_CHANGE
|
String | 1.62% | |
|
AVERAGE_NUMBER_OF_PROVIDERS_PER_COUNTY_CHANGE
|
String | 1.19% | |
|
NUMBER_OF_DUAL_ELIGIBLE_USERS_CHANGE
|
String | ( 4.89%) | |
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_TOTAL_USERS_CHANGE
|
String | ( 6.43%) | |
|
PERCENTAGE_OF_DUAL_ELIGIBLE_USERS_OUT_OF_DUAL_ELIGIBLE_FFS_BENEFICIARIES_CHANGE
|
String | ( 1.20%) | |
|
TOTAL_PAYMENT_CHANGE
|
String | 1.80% |
[Sample] Cpc Initiative Participating Primary Care Practices
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
ROW_ID
|
String | 7a6b4130-e104-5af4-a6e2-d91f041fb299 | |
|
FILE_ID
|
String | cc916fa8-e94c-5ce2-9f95-a0ac16a08fae | |
|
FILE_FEED_ID
|
String | 2c19a6f2-68bd-5e5d-a3f2-be6a6c93879f | |
|
FILE_NAME
|
String | CPC_Initiative__Participating_Primary_Care_Practices.csv | |
|
ROWNUM
|
Integer | 1 | |
|
NAME_OF_INITIATIVE
|
String | Comprehensive Primary Care Initiative | |
|
PARTICIPATING_PRACTICE
|
String | Ouachita Valley Family Clinic | |
|
PARTICIPATING_PRACTICE_LOCATION
|
String | 353 Cash Road Camden, AR (33.58972137416254, -92.85099065... | |
|
STATE
|
String | AR | |
|
CITY
|
String | Camden | |
|
GEOGRAPHIC_REACH
|
String | Not Applicable | |
|
STREET_ADDRESS
|
String | 353 Cash Road | |
|
ZIP_CODE
|
Description
CMS Data Feeds includes 119 report feeds, with 25.8B+ rows of data including reporting on claims 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 claims 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
columns aligned and cleaned
Delivery
Methods
S3 Bucket
SFTP
Frequency
daily
Format
.csv
Use Cases
Healthcare Market Analysis
Healthcare Utilization
Population Health Benchmarking
Healthcare Quality Benchmarking
Clinical Performance Benchmarking
Categories
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Frequently asked questions
What is Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Healthcare Data Reporting Perfect for Historical Analysis & Easy Ingestion?
CMS Data Feeds includes 119 report feeds, with 25.8B+ rows of data including reporting on claims 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 Healthcare Data Reporting 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 Electronic Health Record (EHR) Data from Dataplex to fuel their analytics and enrichment.
Who can use Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Healthcare Data Reporting Perfect for Historical Analysis & Easy Ingestion?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Electronic Health Record (EHR) 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 Healthcare Data Reporting 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 Healthcare Data Reporting 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 Healthcare Data Reporting Perfect for Historical Analysis & Easy Ingestion cost?
Pricing information for Dataplex: All CMS Data Feeds Access 1519 Reports & 26B+ Rows of Healthcare Data Reporting 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 Healthcare Data Reporting Perfect for Historical Analysis & Easy Ingestion?
Businesses can buy Electronic Health Record (EHR) 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 Healthcare Data Reporting 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 Healthcare Data Reporting 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, US Healthcare Professionals Data Healthcare Industry Leads: 6.9MM+ Verified Healthcare Contacts, and Global B2B Healthcare Professionals Data 16 MM Mailing List Masterfile. You can compare the best Electronic Health Record (EHR) Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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