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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- tabular-classification
+- tabular-regression
+language:
+- en
+tags:
+- synthetic
+- healthcare
+- claims
+- insurance-claims
+- icd-10
+- cpt
+- hcpcs
+- drg
+- mdc
+- ndc
+- rxnorm
+- atc
+- hedis
+- hcc
+- ccw
+- x12-837
+- x12-835
+- carc
+- fraud-detection
+- healthcare-fraud
+- nhcaa
+- adherence
+- pdc
+- mpr
+- payer-mix
+- medical-loss-ratio
+- medicare-advantage
+- medicaid
+- commercial-insurance
+- claims-adjudication
+- prior-authorization
+- denial-management
+- value-based-care
+pretty_name: HLT-008 Synthetic Healthcare Claims Dataset (Sample Preview)
+size_categories:
+- 10K<n<100K
+---
+
+# HLT-008 — Synthetic Healthcare Claims Dataset (Sample Preview)
+
+**A free, schema-identical preview of the full HLT-008 commercial product from [XpertSystems.ai](https://xpertsystems.ai).**
+
+A **fully synthetic** healthcare claims dataset spanning **members → providers → medical claims → pharmacy claims → adherence** — modeling commercial, Medicare Advantage, Medicaid, and self-insured payer populations with X12 837/835-compliant claim structure, CMS HCC risk adjustment, CMS CCW chronic conditions, HEDIS quality measures, X12 CARC denial codes, NHCAA-aligned fraud patterns, and Pharmacy Quality Alliance PDC/MPR adherence metrics.
+
+> ⚠️ **PRIVACY & SYNTHETIC NATURE**
+> Every record in this dataset is **100% synthetic**. **No real claim records, no PHI, no real member identifiers, no real NPIs.** Population-level distributions match published CMS / NHIS / NHCAA / Pharmacy Quality Alliance benchmark sources but the claims are computationally generated.
+
+---
+
+## What's in this sample
+
+| File | Rows | Cols | Description |
+|---|---|---|---|
+| `members.csv` | 500 | 44 | Member master — demographics, payer/plan type, HCC risk score, 21+ CCW chronic conditions, dual-eligible/LIS flags, enrollment window |
+| `providers.csv` | 150 | 7 | Provider directory — NPI, specialty, NUCC taxonomy, network status |
+| `medical_claims.csv` | ~12,800 | 54 | Medical claim lines — ICD-10-CM (primary + 4 secondary), CPT/HCPCS, MS-DRG/MDC, modifiers, denial codes, HEDIS measure flags, fraud labels |
+| `pharmacy_claims.csv` | ~18,300 | 35 | Pharmacy claim lines — NDC-11, RxNorm therapeutic class, ATC code, BIN/PCN, formulary tier, AWP/NADAC pricing, DIR fees |
+| `adherence.csv` | ~10,600 | 7 | PDC + MPR by member × therapeutic class (Pharmacy Quality Alliance methodology) |
+
+**Total:** ~8.1 MB across 6 files. **Note:** This is the largest healthcare sample in the catalog because claims data has natural fan-out (500 members → 30K+ claims over 3 years).
+
+---
+
+## Schema highlights
+
+### `members.csv` (44 columns)
+
+**Identity & demographics:** `member_id`, `age`, `age_band`, `sex`, `race_ethnicity`, `state`, `zip_code`
+
+**Insurance:** `payer_type` (commercial / medicare_advantage / medicaid / self_insured), `plan_type` (PPO / HMO / EPO / HDHP-HSA / SNP / PFFS / MCO / PCCM / FFS), `dual_eligible_flag`, `lis_flag` (Low Income Subsidy)
+
+**Risk & quality:** `hcc_risk_score` (CMS HCC v28, mean-normalized to 1.0), `n_chronic_conditions`, `care_management_flag`, `income_band` (FPL-based)
+
+**Enrollment:** `enrollment_start`, `enrollment_end`
+
+**21+ CCW chronic conditions** (binary flags): `ccw_ami`, `ccw_alzheimer`, `ccw_anemia`, `ccw_asthma`, `ccw_atrialfib`, `ccw_cataract`, `ccw_chrnkidn`, `ccw_copd`, `ccw_chf`, `ccw_diabetes`, `ccw_deprssion`, `ccw_hyperl`, `ccw_hyperp`, `ccw_ihd`, `ccw_mo_diabetes`, `ccw_osteoprs`, `ccw_ra_oa`, `ccw_stroke_tia`, `ccw_cancer_colorectal`, `ccw_cancer_endometrial`, `ccw_cancer_lung`, `ccw_cancer_prostate`, `ccw_cancer_breast`, `ccw_glaucoma`, `ccw_hip_fracture`, `ccw_hipvteib`, `ccw_bnign_prostate`
+
+### `medical_claims.csv` (54 columns)
+
+**Claim identity:** `claim_id`, `member_id`, `claim_type`, `service_date_from`, `service_date_to`, `adjudication_date`, `plan_id`
+
+**Provider attribution:** `rendering_npi`, `billing_npi`, `provider_specialty`, `network_status`
+
+**Diagnosis coding:** `primary_icd10_cm` (one of 50 CMS-calibrated codes including I10, E11.9, J06.9, M54.5, etc.), plus 4 secondary diagnoses (`dx2` through `dx5`)
+
+**Procedure coding:** `cpt_code` (E&M / Surgery / Radiology / Pathology-Lab / Medicine), `cpt_category`, `modifier1`, `modifier2`, `revenue_code`, `service_units`
+
+**Inpatient detail:** `drg_code` (MS-DRG), `drg_type`, `mdc_code` (Major Diagnostic Category), `length_of_stay`, `poa_flag` (Present-on-Admission)
+
+**Place of service:** `place_of_service` (CMS POS codes), `pos_description`
+
+**Financials:** `billed_amount`, `allowed_amount`, `paid_amount`, `member_deductible`, `member_copay`, `member_coinsurance`, `member_oop` (out-of-pocket), `cob_amount` (coordination of benefits)
+
+**Adjudication:** `claim_status` (Paid / Denied / Adjusted / Pended), `denial_code_carc` (CO-15, CO-4, CO-11, CO-18, PR-1, etc.), `denial_reason_desc`, `auth_required_flag`, `auth_number`
+
+**Quality/Safety flags:** `er_flag`, `preventive_flag`, `elective_flag`, `high_cost_flag`, `readmission_flag_30d`
+
+**Fraud labels:** `fraud_label` (5% prevalence), `fraud_pattern_type` ∈ {Upcoding, Phantom, Unbundling, Duplicate, Identity_Theft}
+
+**HEDIS quality measures:** `hedis_bcs` (Breast Cancer Screening), `hedis_col` (Colorectal), `hedis_cdc_a1c` (Diabetes A1c), `hedis_awv` (Annual Wellness Visit), `hedis_depression`
+
+### `pharmacy_claims.csv` (35 columns)
+
+**Claim identity:** `rx_claim_id`, `member_id`, `fill_date`, `paid_date`, `pharmacy_npi`, `prescriber_npi`, `plan_id`, `bin_number`, `pcn_code`
+
+**Drug coding:** `ndc_11` (National Drug Code), `drug_name_generic`, `drug_name_brand`, `therapeutic_class` (RxNorm), `atc_code` (Anatomical Therapeutic Classification, WHO)
+
+**Pricing:** `ingredient_cost`, `dispensing_fee`, `gross_amount_due`, `copay_amount`, `plan_paid`, `dir_fee_amount` (Direct/Indirect Remuneration), `awp_per_unit` (Average Wholesale Price), `nadac_per_unit` (CMS National Average Drug Acquisition Cost)
+
+**Dispensing:** `formulary_tier`, `days_supply`, `quantity_dispensed`, `refill_number`, `pharmacy_type`, `dispense_as_written_code`, `specialty_rx_flag`, `compounded_flag`, `controlled_substance_flag`
+
+**Anomaly flags:** `early_refill_flag`, `fraud_label_rx`, `diversion_flag`
+
+### `adherence.csv` (7 columns)
+
+`member_id`, `therapeutic_class`, `total_days_supply`, `n_fills`, `pdc` (Proportion of Days Covered), `mpr` (Medication Possession Ratio), `adherence_flag_pdc80` (PDC ≥ 80% threshold per PQA Star Ratings methodology)
+
+---
+
+## Calibration source story
+
+The full HLT-008 generator anchors all distributions to authoritative healthcare claims references:
+
+- **CMS HCC v28** — Hierarchical Condition Categories risk adjustment methodology
+- **CMS Payer Enrollment Statistics** — Commercial / MA / Medicaid / self-insured mix
+- **CMS CPT/HCPCS Category Weights** — E&M / Surgery / Radiology / Lab / Medicine
+- **NHCAA** (National Health Care Anti-Fraud Association) — Healthcare fraud rate estimates and 5-pattern taxonomy
+- **NHIS / CDC** — Adult chronic disease prevalence
+- **CMS CCW** (Chronic Conditions Warehouse) — 21-condition framework
+- **X12 835 (HIPAA EDI)** — CARC denial codes and adjudication structure
+- **HEDIS 2024 (NCQA)** — Healthcare Effectiveness Data and Information Set quality measures
+- **Pharmacy Quality Alliance (PQA)** — PDC/MPR adherence methodology, 80% threshold
+- **CMS NDC + FDA Orange Book** — National Drug Code coding
+- **WHO ATC** — Anatomical Therapeutic Chemical Classification
+- **Lloyd & Lloyd (2016) MLR Analysis** — Medical Loss Ratio benchmarks
+
+### Sample-scale validation scorecard
+
+| Metric | Observed | Target | Tolerance | Status | Source |
+|---|---|---|---|---|---|
+| Payer commercial share | 44.2% | 45% | ±6% | ✅ PASS | CMS payer enrollment |
+| HCC risk score mean | 1.00 | 1.00 | ±0.05 | ✅ PASS | CMS HCC v28 normalization |
+| Fraud rate (medical) | 5.04% | 5% | ±2% | ✅ PASS | NHCAA |
+| Denial rate | 10.0% | 10% | ±3% | ✅ PASS | X12 835 / CARC |
+| Diabetes prevalence | 10.0% | 11% | ±4% | ✅ PASS | NHIS / CDC |
+| CPT E&M share | 30.1% | 30% | ±5% | ✅ PASS | CMS CPT category weights |
+| CCW condition diversity | 27 | ≥21 | — | ✅ PASS | CMS CCW |
+| Fraud pattern diversity | 5 | 5 | — | ✅ PASS | NHCAA taxonomy |
+| CARC denial code coverage | 10 | ≥5 | — | ✅ PASS | X12 835 |
+| Claim date validity | 99.7% | 100% | ±1% | ✅ PASS | Data hygiene |
+
+**Grade: A+ (100/100) — verified across 6 random seeds (42, 7, 123, 2024, 99, 1).**
+
+---
+
+## Loading examples
+
+### Pandas
+
+```python
+import pandas as pd
+
+members = pd.read_csv("members.csv")
+providers = pd.read_csv("providers.csv")
+medical = pd.read_csv("medical_claims.csv")
+pharm = pd.read_csv("pharmacy_claims.csv")
+adh = pd.read_csv("adherence.csv")
+
+# Payer mix
+print(members["payer_type"].value_counts(normalize=True))
+
+# Top ICD-10 codes in medical claims
+print(medical["primary_icd10_cm"].value_counts().head(10))
+
+# Fraud pattern breakdown
+print(medical.loc[medical["fraud_label"] == 1, "fraud_pattern_type"]
+        .value_counts())
+
+# Denial reasons
+print(medical.loc[medical["claim_status"] == "Denied", "denial_code_carc"]
+        .value_counts().head(10))
+```
+
+### Hugging Face Datasets
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("xpertsystems/hlt008-sample", data_files={
+    "members":         "members.csv",
+    "providers":       "providers.csv",
+    "medical_claims":  "medical_claims.csv",
+    "pharmacy_claims": "pharmacy_claims.csv",
+    "adherence":       "adherence.csv",
+})
+print(ds)
+```
+
+### Fraud detection baseline
+
+```python
+import pandas as pd
+from sklearn.ensemble import GradientBoostingClassifier
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import classification_report
+
+medical = pd.read_csv("medical_claims.csv")
+
+features = ["billed_amount", "allowed_amount", "paid_amount", "service_units",
+            "length_of_stay", "auth_required_flag", "er_flag", "high_cost_flag",
+            "readmission_flag_30d"]
+# Encode categorical
+medical["cpt_cat_enc"] = pd.factorize(medical["cpt_category"])[0]
+medical["network_enc"] = pd.factorize(medical["network_status"])[0]
+features += ["cpt_cat_enc", "network_enc"]
+
+X, y = medical[features].fillna(0), medical["fraud_label"]
+Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, stratify=y,
+                                       random_state=42)
+clf = GradientBoostingClassifier(random_state=42).fit(Xtr, ytr)
+print(classification_report(yte, clf.predict(Xte)))
+```
+
+### HCC risk-adjusted spend analysis
+
+```python
+import pandas as pd
+
+members = pd.read_csv("members.csv")
+medical = pd.read_csv("medical_claims.csv")
+
+# Per-member medical spend
+spend = medical.groupby("member_id")["paid_amount"].sum().rename("total_paid")
+m = members.merge(spend, on="member_id", how="left")
+m["total_paid"] = m["total_paid"].fillna(0)
+
+# Spend by HCC decile
+m["hcc_decile"] = pd.qcut(m["hcc_risk_score"], 10, labels=False)
+print(m.groupby("hcc_decile")["total_paid"].agg(["mean", "std", "median"]))
+```
+
+### Adherence intervention targeting
+
+```python
+import pandas as pd
+
+adh = pd.read_csv("adherence.csv")
+
+# Low-adherence patients (PDC < 0.80) by therapeutic class
+low_adh = adh[adh["adherence_flag_pdc80"] == 0]
+print(low_adh["therapeutic_class"].value_counts().head(10))
+```
+
+---
+
+## Suggested use cases
+
+- **Claims fraud detection** — train binary or multi-class classifiers on `fraud_label` + `fraud_pattern_type` with features from medical + pharmacy + provider tables
+- **Denial management** — predict `claim_status` (Paid/Denied/Adjusted/Pended) and `denial_code_carc` from claim features
+- **HCC risk adjustment** — train risk score predictors from diagnosis codes for value-based contracts
+- **HEDIS gap analysis** — identify members not meeting `hedis_*` measures, predict who needs outreach
+- **High-cost claimant identification** — predict `high_cost_flag` or top-decile spend from baseline features
+- **Adherence intervention modeling** — predict PDC < 0.8 in chronic medication users
+- **Drug switching / brand-vs-generic analysis** — RxNorm therapeutic class transitions
+- **Provider network optimization** — analyze in-network vs out-of-network financial impact
+- **Prior authorization optimization** — predict which `auth_required_flag` claims will be denied
+- **Care management targeting** — identify members for case management based on chronic conditions + spend
+- **30-day readmission prediction** — `readmission_flag_30d` ML
+- **X12 837/835 ETL pipeline testing** — schema-compliant synthetic data for EDI pipelines
+- **Healthcare analytics platform development** — synthetic data for warehousing, reporting, BI demos
+
+---
+
+## Sample vs. full product
+
+| Aspect | This sample | Full HLT-008 product |
+|---|---|---|
+| Members | 500 | 100,000+ (default) up to 5M |
+| Years | 3 (2021-2023) | Configurable, multi-year longitudinal |
+| Providers | 150 | 5,000+ |
+| Schema | identical | identical |
+| Calibration | identical | identical |
+| License | CC-BY-NC-4.0 | Commercial license |
+
+The full product unlocks:
+- **Up to 5M members** for population-scale fraud detection and risk adjustment training
+- **Configurable multi-year longitudinal windows** for spend trend analysis
+- **Larger provider network** (5,000+) for realistic network analysis
+- Commercial use rights
+
+**Contact us for the full product.**
+
+---
+
+## Limitations & honest disclosures
+
+- **Sample is preview-only.** 500 members × 3 years × ~30K claims is enough to demonstrate schema and calibration, but is **not statistically sufficient** for serious fraud detection model training (would need ≥100K members for reliable detection of rare fraud patterns) or rare condition analysis. Use the full product for serious work.
+- **Sample is on the larger side (8 MB).** Claims data has natural fan-out — even at 500 members, you get ~30K claim records. This is the largest healthcare sample in the catalog. The full product scales linearly with member count.
+- **Adherence PDC denominator is the full observation window, not actual therapy initiation.** The generator computes PDC as `total_days_supply / 1096_days` (3-year observation window), rather than the clinically-canonical "days from first fill to obs end." This produces lower PDC values (~0.1) than the typical 0.7-0.8 reported in real PDC analyses. The field is *structurally correct* (between 0 and 1, deterministic), just calibrated against the observation window. For clinically-typical PDC values, compute it as `total_days_supply / (obs_end - first_fill_date)` from the raw fills, which is a one-line post-processing step.
+- **Fraud labels are statistically assigned, not adjudicated.** `fraud_label = 1` flags follow a 5% Bernoulli draw with pattern types assigned by category-rule mapping. They represent realistic fraud taxonomy proportions but are NOT validated against real fraud detection adjudication.
+- **ICD-10 coding uses 50 most common codes, not the full ~70K codeset.** Realistic for general analytics but not exhaustive — rare-disease analysis requires the full HLT-008 product with extended code coverage.
+- **NDC codes are placeholder 11-digit strings, not real FDA Orange Book entries.** `drug_name_generic` / `drug_name_brand` / `therapeutic_class` / `atc_code` are populated; the NDC-11 string itself is synthetic. Use therapeutic class + ATC for drug-level analysis.
+- **NPIs are synthetic 10-digit strings.** Provider directory has realistic specialty + NUCC taxonomy + network status but the NPI numbers themselves are not real CMS NPPES numbers.
+- **State distribution focuses on top-10 US states.** Member distribution is concentrated in CA/TX/FL/NY/PA/IL/OH/GA/NC/MI; all 50 states are not represented at uniform frequency.
+- **No real CMS BSA / DRG payment rates.** `paid_amount` is calibrated to overall paid-to-billed ratios (~0.63), not specific DRG reimbursement schedules. The full product can be tuned to specific year IPPS/OPPS rates.
+- **Synthetic, not derived from real claims data.** Distributions match published CMS / NHIS / NHCAA references but do NOT reflect any specific real payer or member cohort.
+
+---
+
+## Ethical use guidance
+
+This dataset is designed for:
+- Healthcare fraud detection ML methodology development
+- Claims analytics platform development
+- HCC risk adjustment model research
+- HEDIS quality measure pipeline testing
+- X12 837/835 EDI ETL pipeline development
+- Educational use in health services research and actuarial science
+- Healthcare AI pretraining for claims-based prediction tasks
+
+This dataset is **not appropriate for**:
+- Making payment decisions about real claims
+- Insurance underwriting, pricing, or claim adjudication for real members
+- Fraud accusations against real providers
+- Discriminatory analyses targeting protected demographic groups
+- Training models that produce real claim decisions without separate validation on real data
+
+---
+
+## Companion datasets in the Healthcare vertical
+
+- [HLT-001](https://huggingface.co/datasets/xpertsystems/hlt001-sample) — Synthetic Patient Population (5K patients × 79 cols, CDC/NHANES calibrated)
+- [HLT-002](https://huggingface.co/datasets/xpertsystems/hlt002-sample) — Synthetic EHR Dataset (4K encounters + FHIR R4 bundles)
+- [HLT-003](https://huggingface.co/datasets/xpertsystems/hlt003-sample) — Synthetic Clinical Trial Dataset (3 endpoint types + power sweep)
+- [HLT-004](https://huggingface.co/datasets/xpertsystems/hlt004-sample) — Synthetic Disease Progression Dataset (NSCLC + Heart Failure longitudinal)
+- [HLT-005](https://huggingface.co/datasets/xpertsystems/hlt005-sample) — Synthetic Hospital Admission Dataset (5K admissions + bed utilization)
+- [HLT-006](https://huggingface.co/datasets/xpertsystems/hlt006-sample) — Synthetic Medical Imaging Dataset (1K studies + COCO annotations + reports)
+- [HLT-007](https://huggingface.co/datasets/xpertsystems/hlt007-sample) — Synthetic Drug Response Dataset (3K patient-treatments × 25 drug classes + PGx + PK)
+- **HLT-008** — Synthetic Healthcare Claims Dataset (you are here)
+
+Use **HLT-001 through HLT-008 together** for the full healthcare ML data stack: population → EHR → trials → progression → hospital ops → imaging → pharmacology → claims & reimbursement.
+
+---
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{xpertsystems_hlt008_sample_2026,
+  author       = {XpertSystems.ai},
+  title        = {HLT-008 Synthetic Healthcare Claims Dataset (Sample Preview)},
+  year         = 2026,
+  publisher    = {Hugging Face},
+  url          = {https://huggingface.co/datasets/xpertsystems/hlt008-sample}
+}
+```
+
+---
+
+## Contact
+
+- **Web:** [https://xpertsystems.ai](https://xpertsystems.ai)
+- **Email:** [pradeep@xpertsystems.ai](mailto:pradeep@xpertsystems.ai)
+- **Full product catalog:** Cybersecurity, Insurance & Risk, Materials & Energy, Oil & Gas, Healthcare, and more
+
+**Sample License:** CC-BY-NC-4.0 (Creative Commons Attribution-NonCommercial 4.0)
+**Full product License:** Commercial — please contact for pricing.

members.csv

@@ -0,0 +1,501 @@
+member_id,age,age_band,sex,race_ethnicity,state,zip_code,payer_type,plan_type,income_band,dual_eligible_flag,lis_flag,hcc_risk_score,n_chronic_conditions,enrollment_start,enrollment_end,care_management_flag,ccw_ami,ccw_alzheimer,ccw_anemia,ccw_asthma,ccw_atrialfib,ccw_cataract,ccw_chrnkidn,ccw_copd,ccw_chf,ccw_diabetes,ccw_deprssion,ccw_hyperl,ccw_hyperp,ccw_ihd,ccw_mo_diabetes,ccw_osteoprs,ccw_ra_oa,ccw_stroke_tia,ccw_cancer_colorectal,ccw_cancer_endometrial,ccw_cancer_lung,ccw_cancer_prostate,ccw_cancer_breast,ccw_glaucoma,ccw_hip_fracture,ccw_hipvteib,ccw_bnign_prostate
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+MBR00000002,35,35-49,F,White,CA,30276,self_insured,EPO,201-400%FPL,0,0,1.1516,2,2020-07-26,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000005,7,0-17,F,Black/AA,TX,57927,medicaid,FFS,<100%FPL,0,1,0.985,2,2020-12-11,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000006,88,80+,F,White,OH,85363,medicare_advantage,SNP,>400%FPL,0,0,1.429,2,2020-08-13,2023-12-31,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000007,60,50-64,M,Asian,IL,19751,medicare_advantage,PPO,201-400%FPL,0,0,1.0443,0,2020-01-16,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0
+MBR00000008,62,50-64,F,White,MI,17270,medicare_advantage,PFFS,<100%FPL,0,0,1.0937,2,2020-01-22,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000009,10,0-17,F,Black/AA,FL,61051,commercial,PPO,<100%FPL,0,0,0.4283,1,2020-05-22,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000010,36,35-49,M,White,CA,89386,medicare_advantage,HMO,>400%FPL,0,0,0.8237,0,2020-05-14,2023-12-31,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0
+MBR00000011,30,18-34,M,Black/AA,OH,46518,commercial,HMO,139-200%FPL,0,0,0.8395,3,2020-09-28,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000109,7,0-17,F,Two+,TX,64684,commercial,EPO,100-138%FPL,0,0,0.4356,1,2020-05-27,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000110,74,65-79,M,White,MI,20712,commercial,HMO,>400%FPL,0,0,2.0531,3,2020-08-16,2023-12-31,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000111,37,35-49,F,White,PA,34975,commercial,PPO,139-200%FPL,0,0,1.9156,3,2020-04-27,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000112,16,0-17,F,White,NY,32028,medicaid,PCCM,139-200%FPL,0,1,0.6617,1,2020-01-11,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0
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+MBR00000114,46,35-49,F,Asian,MI,39589,commercial,HDHP/HSA,201-400%FPL,0,0,1.0647,3,2020-08-31,2023-12-31,0,0,0,1,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000115,14,0-17,M,AIAN,TX,61430,medicaid,MCO,201-400%FPL,0,1,0.6451,0,2020-11-23,2023-12-31,0,0,1,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000116,69,65-79,F,White,TX,75791,commercial,HMO,201-400%FPL,0,0,1.0181,0,2020-02-05,2023-12-31,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000117,60,50-64,F,White,FL,81754,commercial,PPO,100-138%FPL,0,0,0.9464,0,2020-06-22,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0
+MBR00000118,57,50-64,M,Hispanic/Latino,OH,26542,medicare_advantage,HMO,>400%FPL,1,1,0.9007,0,2020-05-30,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000119,35,35-49,M,White,CA,91316,self_insured,PPO,139-200%FPL,0,0,0.8945,2,2020-09-26,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+MBR00000120,50,50-64,M,Hispanic/Latino,TX,24917,commercial,PPO,139-200%FPL,0,0,1.002,2,2020-12-19,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000121,47,35-49,F,Black/AA,TX,11968,commercial,EPO,100-138%FPL,0,0,1.473,0,2020-03-14,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000122,52,50-64,F,White,PA,14046,medicare_advantage,SNP,139-200%FPL,0,0,1.1253,1,2020-02-22,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+MBR00000123,6,0-17,F,Hispanic/Latino,PA,28093,medicaid,FFS,139-200%FPL,0,1,1.2204,1,2020-08-30,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000124,33,18-34,M,White,FL,88590,commercial,HMO,201-400%FPL,0,0,1.8196,2,2020-03-29,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000125,3,0-17,F,White,TX,28709,commercial,HDHP/HSA,100-138%FPL,0,0,0.3523,0,2020-06-07,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000126,40,35-49,M,White,OH,72414,medicare_advantage,PFFS,100-138%FPL,0,0,1.0717,3,2020-05-12,2023-12-31,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000127,26,18-34,F,White,CA,47664,commercial,PPO,201-400%FPL,0,0,0.8859,1,2020-10-30,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000128,11,0-17,M,Black/AA,IL,13595,commercial,PPO,100-138%FPL,0,0,0.6048,3,2020-05-22,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000129,8,0-17,F,Black/AA,TX,49972,commercial,EPO,>400%FPL,0,0,0.795,0,2020-11-04,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000130,47,35-49,F,Two+,NC,12546,commercial,HMO,>400%FPL,0,0,0.9211,1,2020-10-14,2023-12-31,0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000131,13,0-17,F,Two+,FL,52855,medicare_advantage,HMO,201-400%FPL,1,1,0.576,2,2020-08-24,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000132,77,65-79,F,White,PA,60280,medicaid,FFS,>400%FPL,0,1,1.3842,2,2020-10-15,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000133,46,35-49,M,White,CA,56922,medicare_advantage,PFFS,<100%FPL,0,0,0.8906,2,2020-02-05,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000134,28,18-34,M,Black/AA,TX,35427,medicare_advantage,PFFS,<100%FPL,0,0,0.7397,2,2020-12-22,2023-12-31,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000135,47,35-49,M,AIAN,IL,78990,self_insured,EPO,>400%FPL,0,0,1.4453,0,2020-02-07,2023-12-31,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000136,1,0-17,M,White,NY,63704,commercial,HDHP/HSA,>400%FPL,0,0,0.4506,2,2020-11-06,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000137,82,80+,F,White,OH,32930,commercial,HDHP/HSA,>400%FPL,0,0,1.4297,2,2020-02-19,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000138,39,35-49,F,White,NY,49113,medicaid,MCO,<100%FPL,0,1,1.1228,3,2020-09-01,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000139,62,50-64,F,White,NY,19765,commercial,HDHP/HSA,>400%FPL,0,0,1.1309,1,2020-01-31,2023-12-31,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000140,6,0-17,F,Black/AA,GA,93097,medicare_advantage,PFFS,201-400%FPL,0,0,0.4109,2,2020-06-18,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000141,39,35-49,F,White,FL,77773,medicaid,FFS,139-200%FPL,0,1,0.9279,1,2020-07-07,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000142,39,35-49,F,Hispanic/Latino,NC,35902,commercial,HDHP/HSA,100-138%FPL,0,0,0.9092,3,2020-11-15,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+MBR00000143,78,65-79,M,Hispanic/Latino,FL,70741,medicare_advantage,HMO,>400%FPL,0,0,1.1681,1,2020-07-27,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0
+MBR00000144,46,35-49,M,Hispanic/Latino,TX,71122,commercial,HMO,<100%FPL,0,0,0.9883,3,2020-06-12,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+MBR00000145,38,35-49,F,White,OH,64870,commercial,PPO,>400%FPL,0,0,1.0174,1,2020-01-09,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000216,58,50-64,M,White,TX,48850,medicaid,FFS,>400%FPL,0,1,1.2924,3,2020-12-03,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+MBR00000217,10,0-17,F,White,TX,27983,commercial,HMO,201-400%FPL,0,0,0.3915,1,2020-06-03,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000218,10,0-17,M,White,MI,77300,medicare_advantage,PPO,<100%FPL,0,0,0.407,1,2020-01-04,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0
+MBR00000219,77,65-79,F,Black/AA,MI,10595,medicare_advantage,PFFS,139-200%FPL,0,0,1.4272,3,2020-10-21,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000220,32,18-34,F,White,NY,51210,medicaid,MCO,139-200%FPL,0,1,0.9962,3,2020-02-23,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000221,24,18-34,F,White,MI,98198,commercial,PPO,139-200%FPL,0,0,1.0742,2,2020-06-04,2023-12-31,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000222,39,35-49,M,White,TX,47298,commercial,EPO,>400%FPL,0,0,1.052,2,2020-09-07,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000223,53,50-64,M,Hispanic/Latino,GA,71567,medicare_advantage,SNP,>400%FPL,0,0,0.7877,0,2020-03-22,2023-12-31,0,0,0,0,0,1,0,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+MBR00000224,81,80+,F,Black/AA,PA,57274,medicare_advantage,PFFS,>400%FPL,0,0,1.3575,1,2020-02-19,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000225,23,18-34,M,White,IL,29320,medicare_advantage,SNP,100-138%FPL,0,0,0.971,3,2020-11-10,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
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+MBR00000227,2,0-17,M,White,PA,57117,commercial,HMO,>400%FPL,0,0,0.3444,2,2020-01-26,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000228,44,35-49,M,White,GA,19382,medicaid,PCCM,100-138%FPL,0,1,0.808,0,2020-05-03,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000229,51,50-64,M,Asian,FL,47339,commercial,HMO,201-400%FPL,0,0,1.4778,2,2020-06-16,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000230,8,0-17,F,White,GA,47336,commercial,PPO,201-400%FPL,0,0,0.4671,3,2020-11-12,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000231,11,0-17,M,White,CA,85141,medicaid,MCO,201-400%FPL,0,1,0.6326,4,2020-07-21,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000232,34,18-34,M,White,CA,21146,commercial,HDHP/HSA,<100%FPL,0,0,0.8498,1,2020-02-06,2023-12-31,0,0,0,1,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000233,85,80+,M,White,IL,85841,medicare_advantage,PFFS,201-400%FPL,0,0,1.3044,1,2020-03-16,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000234,48,35-49,M,Black/AA,OH,46939,commercial,HMO,<100%FPL,0,0,0.8229,0,2020-07-21,2023-12-31,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+MBR00000235,78,65-79,M,White,NC,68620,medicaid,MCO,100-138%FPL,0,1,1.102,0,2020-09-11,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0
+MBR00000236,63,50-64,F,White,TX,60123,medicare_advantage,HMO,100-138%FPL,0,0,1.3597,2,2020-03-14,2023-12-31,0,0,1,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000237,37,35-49,M,White,CA,36980,medicaid,FFS,>400%FPL,0,1,0.9672,3,2020-01-14,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0
+MBR00000238,62,50-64,M,White,NY,93763,commercial,PPO,139-200%FPL,0,0,1.5256,3,2020-09-14,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000239,1,0-17,M,White,GA,30201,medicare_advantage,SNP,201-400%FPL,0,0,0.6106,1,2020-03-12,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000240,8,0-17,M,White,MI,13259,medicaid,MCO,139-200%FPL,0,1,0.6276,2,2020-09-11,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000241,66,65-79,M,Hispanic/Latino,GA,77510,commercial,HMO,>400%FPL,0,0,1.0667,1,2020-03-06,2023-12-31,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000242,63,50-64,M,White,FL,65930,commercial,HMO,201-400%FPL,0,0,1.4242,1,2020-01-15,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,1
+MBR00000243,19,18-34,F,White,GA,90147,commercial,HDHP/HSA,>400%FPL,0,0,0.485,1,2020-05-04,2023-12-31,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+MBR00000244,42,35-49,M,White,TX,51195,self_insured,PPO,139-200%FPL,0,0,1.1045,3,2020-07-04,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000245,48,35-49,F,White,NC,11515,medicare_advantage,PPO,<100%FPL,1,1,0.9513,0,2020-09-09,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000246,70,65-79,F,White,NY,11823,medicare_advantage,PPO,201-400%FPL,0,0,1.1348,1,2020-12-11,2023-12-31,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000247,48,35-49,M,Black/AA,FL,48992,medicare_advantage,PPO,139-200%FPL,0,0,0.8795,1,2020-12-13,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000248,33,18-34,M,White,NY,32459,medicare_advantage,HMO,>400%FPL,0,0,0.9151,4,2020-03-02,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000249,30,18-34,F,Hispanic/Latino,OH,92995,medicare_advantage,SNP,>400%FPL,0,0,0.6295,0,2020-05-05,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+MBR00000250,34,18-34,F,Asian,TX,20663,commercial,HMO,201-400%FPL,0,0,1.7003,4,2020-10-11,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000251,52,50-64,M,White,CA,89272,medicare_advantage,PPO,>400%FPL,1,1,0.9531,2,2020-06-14,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1
+MBR00000252,70,65-79,M,White,IL,29511,commercial,HMO,201-400%FPL,0,0,1.0445,1,2020-02-16,2023-12-31,0,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000253,36,35-49,M,White,MI,20746,medicaid,FFS,139-200%FPL,0,1,1.1613,1,2020-05-10,2023-12-31,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000254,20,18-34,M,Black/AA,PA,34711,medicaid,PCCM,201-400%FPL,0,1,1.3861,0,2020-02-02,2023-12-31,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000255,19,18-34,F,White,CA,22972,commercial,HMO,<100%FPL,0,0,0.5957,0,2020-11-20,2023-12-31,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000256,59,50-64,M,Hispanic/Latino,PA,46117,medicare_advantage,PPO,>400%FPL,0,0,1.9914,1,2020-12-06,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0
+MBR00000257,64,50-64,M,Hispanic/Latino,CA,39741,commercial,HMO,<100%FPL,0,0,0.9888,0,2020-05-03,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0
+MBR00000258,8,0-17,F,Hispanic/Latino,TX,57613,self_insured,PPO,139-200%FPL,0,0,0.5349,1,2020-06-03,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0
+MBR00000259,5,0-17,M,White,CA,58335,medicaid,PCCM,201-400%FPL,0,1,0.7651,3,2020-04-25,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000260,47,35-49,M,Two+,FL,10089,medicaid,MCO,<100%FPL,0,1,1.5985,1,2020-01-09,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000261,11,0-17,F,White,TX,21238,commercial,PPO,<100%FPL,0,0,0.4649,1,2020-11-23,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000262,65,65-79,M,White,CA,24568,commercial,PPO,>400%FPL,0,0,0.9945,0,2020-01-28,2023-12-31,0,0,0,0,1,0,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000263,25,18-34,M,White,TX,27524,commercial,HMO,<100%FPL,0,0,1.1307,1,2020-12-10,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000264,11,0-17,M,Asian,PA,18420,commercial,HDHP/HSA,201-400%FPL,0,0,0.8182,0,2020-06-24,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000265,76,65-79,F,White,TX,38316,commercial,EPO,139-200%FPL,0,0,1.7919,2,2020-03-04,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000266,13,0-17,M,Hispanic/Latino,CA,59470,commercial,HDHP/HSA,139-200%FPL,0,0,0.5857,0,2020-04-28,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000267,23,18-34,M,White,NY,37799,self_insured,HDHP/HSA,100-138%FPL,0,0,0.7828,1,2020-10-12,2023-12-31,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000268,12,0-17,M,AIAN,OH,39616,commercial,HDHP/HSA,>400%FPL,0,0,0.723,3,2020-05-26,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000269,9,0-17,M,White,GA,52259,commercial,PPO,>400%FPL,0,0,0.4359,2,2020-02-07,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000270,1,0-17,F,White,FL,59355,medicaid,PCCM,100-138%FPL,0,1,0.3287,0,2020-10-19,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000271,4,0-17,M,Asian,IL,39786,medicare_advantage,SNP,>400%FPL,0,0,0.6969,2,2020-01-25,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000272,14,0-17,F,White,GA,29963,medicaid,PCCM,201-400%FPL,0,1,0.5252,1,2020-05-08,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000273,4,0-17,F,White,PA,46843,medicare_advantage,SNP,201-400%FPL,0,0,0.3884,1,2020-12-01,2023-12-31,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000274,47,35-49,F,White,NY,12180,medicaid,MCO,>400%FPL,0,1,0.8891,2,2020-09-02,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000275,54,50-64,M,White,CA,54330,medicare_advantage,HMO,>400%FPL,0,0,1.0576,0,2020-02-22,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000276,32,18-34,F,White,TX,94722,medicare_advantage,SNP,>400%FPL,0,0,0.8904,2,2020-08-31,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000277,25,18-34,F,White,TX,45813,medicare_advantage,HMO,201-400%FPL,0,0,0.7327,2,2020-01-22,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000278,40,35-49,M,White,FL,19747,commercial,HDHP/HSA,201-400%FPL,0,0,1.1918,3,2020-08-01,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000279,71,65-79,F,Hispanic/Latino,MI,73636,commercial,EPO,139-200%FPL,0,0,1.0808,1,2020-08-29,2023-12-31,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000280,68,65-79,F,White,TX,21417,medicare_advantage,SNP,<100%FPL,0,0,1.4655,1,2020-02-25,2023-12-31,0,0,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000281,3,0-17,M,White,NY,27427,commercial,HMO,201-400%FPL,0,0,0.5495,2,2020-03-21,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000354,46,35-49,F,White,TX,71559,medicaid,PCCM,139-200%FPL,0,1,1.5855,2,2020-04-06,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000356,42,35-49,M,White,TX,62932,self_insured,EPO,201-400%FPL,0,0,0.7443,1,2020-12-10,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
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+MBR00000366,34,18-34,F,White,FL,60681,medicaid,FFS,139-200%FPL,0,1,0.7981,2,2020-12-27,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0
+MBR00000367,61,50-64,F,White,NY,74625,medicaid,MCO,>400%FPL,0,1,1.276,2,2020-01-26,2023-12-31,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000368,53,50-64,F,White,CA,89370,commercial,PPO,201-400%FPL,0,0,0.8881,1,2020-02-11,2023-12-31,0,0,0,0,0,0,0,0,0,1,0,1,1,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0
+MBR00000369,27,18-34,M,White,PA,93222,medicare_advantage,SNP,100-138%FPL,0,0,1.0638,1,2020-08-31,2023-12-31,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000370,74,65-79,M,White,TX,70014,medicaid,PCCM,201-400%FPL,0,1,1.3705,3,2020-03-14,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0
+MBR00000371,60,50-64,F,White,GA,80839,commercial,EPO,>400%FPL,0,0,1.7645,3,2020-06-20,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000372,22,18-34,M,Asian,OH,52460,commercial,PPO,<100%FPL,0,0,0.6256,2,2020-12-21,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000375,12,0-17,F,Asian,PA,74059,medicaid,MCO,201-400%FPL,0,1,0.4987,0,2020-04-18,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000376,12,0-17,F,White,CA,17729,medicaid,PCCM,201-400%FPL,0,1,1.2308,2,2020-03-22,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000377,78,65-79,M,Black/AA,IL,92284,commercial,HMO,<100%FPL,0,0,1.4298,2,2020-05-21,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000378,35,35-49,M,Hispanic/Latino,MI,32016,commercial,HMO,>400%FPL,0,0,0.7938,2,2020-12-30,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000379,31,18-34,F,Black/AA,CA,69090,medicare_advantage,HMO,201-400%FPL,1,1,1.1135,4,2020-10-07,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000380,58,50-64,F,White,TX,11006,medicare_advantage,SNP,>400%FPL,0,0,1.3553,3,2020-07-14,2023-12-31,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0
+MBR00000381,44,35-49,M,White,NY,24014,medicare_advantage,SNP,139-200%FPL,0,0,1.0431,2,2020-11-10,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000382,78,65-79,F,White,FL,98795,medicare_advantage,HMO,>400%FPL,0,0,2.5853,4,2020-11-23,2023-12-31,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000383,62,50-64,F,White,PA,85002,commercial,HMO,>400%FPL,0,0,1.2723,3,2020-09-12,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000384,38,35-49,M,Two+,NY,30023,medicare_advantage,PFFS,201-400%FPL,0,0,0.8036,1,2020-05-31,2023-12-31,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000385,30,18-34,M,Asian,OH,21776,commercial,HMO,139-200%FPL,0,0,0.8473,0,2020-11-30,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+MBR00000386,91,80+,M,White,CA,83338,commercial,EPO,>400%FPL,0,0,1.4896,1,2020-01-03,2023-12-31,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+MBR00000387,57,50-64,M,Black/AA,FL,99114,commercial,HMO,201-400%FPL,0,0,1.1856,3,2020-07-18,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000388,80,80+,M,White,GA,25177,commercial,PPO,>400%FPL,0,0,1.4445,1,2020-10-31,2023-12-31,0,0,0,0,0,1,1,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0
+MBR00000389,9,0-17,M,Hispanic/Latino,FL,69754,medicaid,PCCM,201-400%FPL,0,1,0.4622,2,2020-12-25,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000390,68,65-79,F,White,NY,35523,commercial,EPO,139-200%FPL,0,0,1.2459,1,2020-01-18,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000391,51,50-64,M,Asian,CA,76994,commercial,PPO,100-138%FPL,0,0,1.2465,1,2020-05-29,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000392,9,0-17,F,Hispanic/Latino,TX,47644,medicaid,FFS,>400%FPL,0,1,0.5919,0,2020-02-21,2023-12-31,0,0,0,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000393,47,35-49,M,White,FL,21281,medicare_advantage,HMO,>400%FPL,0,0,0.8872,2,2020-03-24,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+MBR00000394,54,50-64,M,White,FL,39196,commercial,PPO,<100%FPL,0,0,0.8803,0,2020-01-08,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000395,1,0-17,F,Hispanic/Latino,IL,58475,commercial,EPO,>400%FPL,0,0,0.3601,2,2020-02-12,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000396,36,35-49,F,White,NY,81850,commercial,EPO,>400%FPL,0,0,0.6495,0,2020-03-28,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000397,65,65-79,M,White,NC,11892,medicare_advantage,PPO,<100%FPL,0,0,1.943,5,2020-02-26,2023-12-31,0,0,0,0,1,0,1,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1
+MBR00000398,24,18-34,M,Hispanic/Latino,GA,96191,commercial,HMO,<100%FPL,0,0,0.7232,3,2020-02-24,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1
+MBR00000399,37,35-49,M,White,TX,68463,commercial,PPO,>400%FPL,0,0,1.4106,2,2020-09-30,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000400,35,35-49,F,White,CA,88775,commercial,EPO,201-400%FPL,0,0,0.8289,3,2020-05-29,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000401,24,18-34,M,White,GA,93703,medicare_advantage,PPO,<100%FPL,1,1,0.4984,0,2020-01-08,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000402,76,65-79,M,White,TX,23821,commercial,PPO,>400%FPL,0,0,1.3969,3,2020-02-20,2023-12-31,0,0,0,0,0,0,1,1,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000403,62,50-64,M,Asian,TX,18435,medicaid,PCCM,201-400%FPL,0,1,1.2352,2,2020-11-24,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000404,9,0-17,M,White,CA,79901,commercial,HDHP/HSA,>400%FPL,0,0,0.3749,0,2020-11-22,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000405,95,80+,F,White,IL,26909,medicare_advantage,PPO,>400%FPL,0,0,2.0251,4,2020-10-20,2023-12-31,1,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0
+MBR00000406,71,65-79,F,White,TX,23315,commercial,HDHP/HSA,>400%FPL,0,0,1.8851,3,2020-04-06,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0
+MBR00000407,23,18-34,F,Asian,CA,52166,commercial,HMO,201-400%FPL,0,0,0.8288,2,2020-08-11,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000408,66,65-79,M,White,NY,92203,commercial,PPO,139-200%FPL,0,0,0.9984,1,2020-05-17,2023-12-31,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000409,8,0-17,M,Hispanic/Latino,OH,81603,medicaid,MCO,201-400%FPL,0,1,0.4533,3,2020-11-11,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0
+MBR00000410,95,80+,M,Black/AA,TX,56608,medicaid,MCO,<100%FPL,0,1,1.5389,1,2020-12-11,2023-12-31,0,0,1,1,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0
+MBR00000411,53,50-64,F,Hispanic/Latino,IL,27680,commercial,PPO,201-400%FPL,0,0,0.9829,2,2020-03-26,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000412,52,50-64,F,Asian,FL,40273,commercial,EPO,100-138%FPL,0,0,1.2559,3,2020-09-17,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000413,7,0-17,F,Hispanic/Latino,FL,71963,medicaid,PCCM,201-400%FPL,0,1,0.8702,1,2020-12-17,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000414,73,65-79,F,Asian,TX,24132,medicare_advantage,PFFS,<100%FPL,0,0,1.2412,1,2020-10-15,2023-12-31,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0
+MBR00000415,2,0-17,F,White,CA,57195,commercial,HMO,139-200%FPL,0,0,0.5017,0,2020-09-06,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000416,19,18-34,F,Hispanic/Latino,TX,11062,commercial,HMO,139-200%FPL,0,0,0.5067,0,2020-08-07,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000417,11,0-17,M,White,GA,39257,medicare_advantage,PPO,201-400%FPL,0,0,0.5642,2,2020-02-09,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000418,61,50-64,M,White,CA,32314,medicare_advantage,HMO,>400%FPL,0,0,0.8186,0,2020-10-21,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+MBR00000419,16,0-17,M,Hispanic/Latino,MI,71296,medicare_advantage,PFFS,<100%FPL,0,0,0.6052,3,2020-05-26,2023-12-31,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000438,40,35-49,M,White,CA,61645,medicare_advantage,SNP,139-200%FPL,0,0,1.175,3,2020-09-14,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000439,59,50-64,F,Asian,CA,99324,commercial,HMO,<100%FPL,0,0,0.9418,0,2020-06-21,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000441,68,65-79,M,White,FL,32978,commercial,HMO,139-200%FPL,0,0,1.7568,1,2020-01-31,2023-12-31,0,0,0,0,0,0,0,1,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000442,12,0-17,F,White,PA,52221,medicare_advantage,PPO,100-138%FPL,1,1,0.836,0,2020-06-13,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000443,58,50-64,M,White,FL,27983,commercial,EPO,<100%FPL,0,0,1.4826,3,2020-02-01,2023-12-31,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0
+MBR00000444,15,0-17,M,White,PA,68572,commercial,HMO,201-400%FPL,0,0,0.6029,1,2020-02-25,2023-12-31,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000445,22,18-34,M,White,FL,32825,medicaid,FFS,>400%FPL,0,1,0.8887,5,2020-09-04,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000446,56,50-64,M,White,CA,21536,medicaid,PCCM,139-200%FPL,0,1,0.9893,1,2020-07-19,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0
+MBR00000447,89,80+,F,Hispanic/Latino,TX,33513,commercial,HMO,>400%FPL,0,0,1.3249,1,2020-06-08,2023-12-31,0,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0
+MBR00000448,49,35-49,F,White,MI,93752,medicaid,MCO,>400%FPL,0,1,0.7952,0,2020-10-03,2023-12-31,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000449,4,0-17,F,Black/AA,TX,94139,commercial,EPO,139-200%FPL,0,0,0.331,1,2020-03-04,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000450,49,35-49,M,White,TX,55514,medicaid,FFS,>400%FPL,0,1,1.0526,0,2020-06-09,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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+MBR00000452,72,65-79,M,Black/AA,MI,83756,commercial,HMO,201-400%FPL,0,0,1.3317,2,2020-07-09,2023-12-31,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000453,56,50-64,M,Hispanic/Latino,TX,27483,medicaid,PCCM,<100%FPL,0,1,1.4397,3,2020-03-08,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000454,14,0-17,M,Asian,PA,68850,self_insured,EPO,<100%FPL,0,0,0.9589,4,2020-07-31,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1
+MBR00000455,7,0-17,F,White,CA,71203,medicaid,PCCM,>400%FPL,0,1,0.5383,5,2020-04-17,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000456,15,0-17,F,White,CA,73899,self_insured,PPO,>400%FPL,0,0,0.5945,3,2020-01-08,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000457,89,80+,F,White,IL,29614,medicare_advantage,PFFS,>400%FPL,0,0,1.2006,0,2020-09-01,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000458,37,35-49,F,White,PA,74451,commercial,PPO,>400%FPL,0,0,1.3113,3,2020-01-04,2023-12-31,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0
+MBR00000459,62,50-64,F,Asian,IL,65078,medicaid,MCO,<100%FPL,0,1,1.3281,1,2020-08-03,2023-12-31,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0
+MBR00000460,51,50-64,F,White,TX,88758,medicare_advantage,PFFS,>400%FPL,0,0,0.9057,1,2020-06-10,2023-12-31,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000461,46,35-49,F,Hispanic/Latino,MI,25695,medicare_advantage,HMO,201-400%FPL,0,0,0.9345,0,2020-03-25,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000462,11,0-17,M,White,NY,65223,commercial,HMO,>400%FPL,0,0,0.3439,0,2020-12-08,2023-12-31,0,0,0,0,0,0,1,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000463,79,65-79,M,White,MI,84666,medicare_advantage,PFFS,<100%FPL,0,0,1.9297,4,2020-04-20,2023-12-31,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+MBR00000464,24,18-34,M,White,CA,35039,commercial,EPO,139-200%FPL,0,0,0.7472,2,2020-06-09,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000465,46,35-49,F,Black/AA,FL,76939,medicare_advantage,PPO,>400%FPL,0,0,1.0595,3,2020-05-07,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000466,55,50-64,M,Black/AA,TX,18955,commercial,PPO,>400%FPL,0,0,1.0384,1,2020-01-20,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000467,52,50-64,F,White,OH,74628,medicare_advantage,SNP,201-400%FPL,0,0,0.8974,0,2020-07-08,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000468,78,65-79,M,White,OH,64561,medicaid,FFS,139-200%FPL,0,1,2.1773,3,2020-01-30,2023-12-31,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000469,12,0-17,F,Black/AA,FL,27329,medicare_advantage,SNP,139-200%FPL,0,0,1.5941,4,2020-06-08,2023-12-31,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000470,41,35-49,M,White,CA,15971,medicare_advantage,PFFS,>400%FPL,1,1,1.276,5,2020-10-15,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0
+MBR00000471,32,18-34,M,Asian,CA,77093,commercial,HMO,201-400%FPL,0,0,0.9957,1,2020-05-08,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+MBR00000472,38,35-49,M,White,CA,31716,self_insured,EPO,201-400%FPL,0,0,0.6907,0,2020-10-24,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000473,9,0-17,M,White,GA,54769,medicare_advantage,PPO,201-400%FPL,0,0,0.8044,4,2020-02-08,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000474,10,0-17,F,White,TX,15463,commercial,PPO,201-400%FPL,0,0,0.4326,1,2020-11-07,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000475,22,18-34,M,White,CA,96713,commercial,HDHP/HSA,201-400%FPL,0,0,0.6857,3,2020-07-03,2023-12-31,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000476,24,18-34,F,White,TX,59399,commercial,HMO,201-400%FPL,0,0,0.8816,3,2020-03-08,2023-12-31,0,0,0,0,0,1,0,1,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0
+MBR00000477,34,18-34,M,White,CA,93841,medicare_advantage,SNP,>400%FPL,1,1,0.8201,2,2020-12-29,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000478,49,35-49,M,Two+,MI,24430,medicaid,PCCM,>400%FPL,0,1,1.2224,4,2020-07-07,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000479,51,50-64,F,White,TX,28521,medicare_advantage,SNP,>400%FPL,0,0,0.839,1,2020-07-01,2023-12-31,0,0,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000480,33,18-34,M,White,NC,64936,commercial,EPO,201-400%FPL,0,0,0.9164,4,2020-08-31,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
+MBR00000481,33,18-34,F,White,IL,64403,medicaid,PCCM,201-400%FPL,0,1,0.8679,1,2020-05-01,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000482,17,0-17,F,White,NY,81177,commercial,HMO,>400%FPL,0,0,0.7831,2,2020-09-05,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1
+MBR00000483,47,35-49,F,White,FL,93524,medicaid,FFS,>400%FPL,0,1,1.0378,2,2020-08-18,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0
+MBR00000484,25,18-34,M,White,IL,83968,commercial,PPO,201-400%FPL,0,0,0.8238,2,2020-09-23,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000485,2,0-17,M,Black/AA,IL,22619,medicare_advantage,PPO,>400%FPL,0,0,0.2645,0,2020-05-19,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000486,34,18-34,F,White,CA,37858,medicaid,PCCM,>400%FPL,0,1,1.2677,3,2020-02-14,2023-12-31,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000487,38,35-49,M,AIAN,NC,92243,commercial,EPO,>400%FPL,0,0,0.8685,1,2020-10-29,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000488,18,18-34,M,White,FL,59405,medicare_advantage,PPO,>400%FPL,0,0,0.7137,1,2020-08-05,2023-12-31,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000489,46,35-49,M,Hispanic/Latino,TX,88030,self_insured,HDHP/HSA,139-200%FPL,0,0,1.0212,3,2020-10-11,2023-12-31,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0
+MBR00000490,45,35-49,F,White,FL,60670,commercial,HMO,201-400%FPL,0,0,0.858,0,2020-10-04,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000491,56,50-64,F,White,IL,14476,commercial,PPO,201-400%FPL,0,0,1.4003,3,2020-01-13,2023-12-31,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1
+MBR00000492,52,50-64,F,Hispanic/Latino,FL,52559,medicare_advantage,HMO,<100%FPL,0,0,0.9216,1,2020-04-17,2023-12-31,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000493,52,50-64,F,Black/AA,FL,84218,commercial,EPO,>400%FPL,0,0,1.9985,3,2020-01-23,2023-12-31,0,0,0,0,1,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000494,25,18-34,M,Hispanic/Latino,CA,68959,commercial,HMO,201-400%FPL,0,0,0.6287,1,2020-05-15,2023-12-31,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0
+MBR00000495,62,50-64,F,White,FL,21950,medicare_advantage,PPO,100-138%FPL,0,0,1.2368,0,2020-05-03,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000496,44,35-49,M,Black/AA,CA,28907,medicaid,PCCM,>400%FPL,0,1,1.4044,3,2020-04-15,2023-12-31,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000497,35,35-49,F,Hispanic/Latino,GA,86892,commercial,HMO,>400%FPL,0,0,1.3065,2,2020-05-08,2023-12-31,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+MBR00000498,50,50-64,M,Black/AA,TX,98130,commercial,HMO,>400%FPL,0,0,0.9399,1,2020-03-07,2023-12-31,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0
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providers.csv

@@ -0,0 +1,151 @@
+provider_npi,provider_type,specialty,nucc_taxonomy,state,network_status,group_id
+1571574052,Hospital/Facility,Critical Access Hospital,207P00000X,CA,In-Network,GRP6332
+1778483301,Ancillary,Home Health,207P00000X,GA,In-Network,GRP4198
+1974006077,Specialist,Orthopedic Surgery,207X00000X,FL,In-Network,GRP7963
+1168881145,Specialist,Orthopedic Surgery,207X00000X,TX,In-Network,GRP5188
+1168246159,PCP,Internal Medicine,207R00000X,CA,In-Network,GRP3761
+1337791138,PCP,Internal Medicine,207R00000X,CA,Out-of-Network,GRP4455
+1205377316,Specialist,Orthopedic Surgery,207X00000X,CA,In-Network,GRP5357
+1108115157,Hospital/Facility,General Acute Care Hospital,282N00000X,CA,In-Network,GRP6557
+1980712759,Hospital/Facility,Outpatient Clinic,207P00000X,MI,Out-of-Network,GRP9910
+1624202402,Specialist,Orthopedic Surgery,207X00000X,TX,In-Network,GRP4063
+1799205295,Hospital/Facility,General Acute Care Hospital,282N00000X,GA,In-Network,GRP2607
+1609526529,Specialist,Psychiatry,207P00000X,CA,In-Network,GRP9800
+1717546253,PCP,Family Medicine,207Q00000X,TX,In-Network,GRP2329
+1244186984,PCP,Family Medicine,207Q00000X,NC,Out-of-Network,GRP9133
+1235381502,Specialist,Cardiology,207RC0000X,CA,In-Network,GRP2279
+1540044947,Specialist,Pulmonology,207P00000X,TX,Out-of-Network,GRP4274
+1433937353,Specialist,Nephrology,207P00000X,GA,In-Network,GRP9981
+1856686341,PCP,Geriatrics,207P00000X,CA,In-Network,GRP2491
+1395983630,Specialist,Nephrology,207P00000X,CA,In-Network,GRP2439
+1273488618,Hospital/Facility,General Acute Care Hospital,282N00000X,MI,In-Network,GRP6482
+1872613201,PCP,Internal Medicine,207R00000X,FL,In-Network,GRP2711
+1109850785,Hospital/Facility,ASC,207P00000X,PA,Out-of-Network,GRP1219
+1660288235,Hospital/Facility,ASC,207P00000X,CA,In-Network,GRP7252
+1899127912,Specialist,Neurology,207P00000X,TX,In-Network,GRP9633
+1364429278,PCP,OB/GYN,207P00000X,FL,In-Network,GRP7834
+1910255109,Ancillary,DME Supplier,207P00000X,PA,In-Network,GRP9677
+1511044648,Specialist,Endocrinology,207P00000X,TX,In-Network,GRP5743
+1355166277,Specialist,Endocrinology,207P00000X,NC,In-Network,GRP6525
+1236418230,Ancillary,DME Supplier,207P00000X,OH,In-Network,GRP9843
+1624802371,Hospital/Facility,ASC,207P00000X,NY,Out-of-Network,GRP5532
+1964402759,Hospital/Facility,Outpatient Clinic,207P00000X,FL,In-Network,GRP1350
+1609138981,Hospital/Facility,Critical Access Hospital,207P00000X,PA,In-Network,GRP3149
+1968299309,PCP,Internal Medicine,207R00000X,IL,In-Network,GRP6586
+1780163051,Hospital/Facility,SNF,207P00000X,CA,In-Network,GRP8715
+1716521444,Specialist,Oncology,207P00000X,GA,In-Network,GRP6457
+1752470395,Ancillary,Home Health,207P00000X,FL,In-Network,GRP4650
+1935547131,Specialist,Pulmonology,207P00000X,NC,In-Network,GRP3890
+1872272835,PCP,Internal Medicine,207R00000X,MI,In-Network,GRP7148
+1245650222,Specialist,Gastroenterology,207P00000X,CA,In-Network,GRP9094
+1626436776,Hospital/Facility,General Acute Care Hospital,282N00000X,FL,Out-of-Network,GRP3502
+1514306773,Specialist,Endocrinology,207P00000X,NY,In-Network,GRP5975
+1891283887,Hospital/Facility,General Acute Care Hospital,282N00000X,NY,Out-of-Network,GRP4846
+1283743001,PCP,Family Medicine,207Q00000X,GA,In-Network,GRP3216
+1530904931,PCP,Internal Medicine,207R00000X,CA,In-Network,GRP4647
+1939033455,Specialist,Pulmonology,207P00000X,PA,In-Network,GRP1795
+1812060197,Specialist,Oncology,207P00000X,NC,Out-of-Network,GRP5771
+1410468316,Hospital/Facility,SNF,207P00000X,MI,In-Network,GRP1963
+1860435061,Ancillary,DME Supplier,207P00000X,CA,In-Network,GRP5266
+1268679390,Hospital/Facility,Critical Access Hospital,207P00000X,MI,In-Network,GRP9075
+1103747954,Specialist,Urology,207P00000X,CA,In-Network,GRP2311
+1556140803,Specialist,Cardiology,207RC0000X,NY,In-Network,GRP3252
+1450553056,Ancillary,Clinical Laboratory,291U00000X,TX,In-Network,GRP7488
+1213165847,Hospital/Facility,Critical Access Hospital,207P00000X,NY,In-Network,GRP9162
+1994661817,Hospital/Facility,SNF,207P00000X,CA,Out-of-Network,GRP9599
+1135158374,Specialist,Pulmonology,207P00000X,TX,In-Network,GRP2080
+1334916761,Hospital/Facility,ASC,207P00000X,TX,In-Network,GRP3151
+1366576336,PCP,Geriatrics,207P00000X,NC,In-Network,GRP9854
+1450094833,Hospital/Facility,Outpatient Clinic,207P00000X,NY,In-Network,GRP5549
+1700633438,Ancillary,DME Supplier,207P00000X,IL,In-Network,GRP8499
+1390307371,Ancillary,DME Supplier,207P00000X,PA,In-Network,GRP1129
+1749494482,PCP,Pediatrics,207P00000X,FL,In-Network,GRP2045
+1502838586,Hospital/Facility,ASC,207P00000X,CA,In-Network,GRP2838
+1806688928,PCP,Geriatrics,207P00000X,CA,In-Network,GRP1774
+1500037969,Specialist,Pulmonology,207P00000X,FL,In-Network,GRP9016
+1429015908,Hospital/Facility,General Acute Care Hospital,282N00000X,NC,Out-of-Network,GRP8230
+1717912431,Specialist,Oncology,207P00000X,TX,In-Network,GRP4512
+1518055405,Specialist,Urology,207P00000X,IL,In-Network,GRP1702
+1915531927,Hospital/Facility,Critical Access Hospital,207P00000X,GA,In-Network,GRP1955
+1564502315,Hospital/Facility,ASC,207P00000X,NC,In-Network,GRP3359
+1366426662,Specialist,Urology,207P00000X,TX,In-Network,GRP7542
+1125190055,Specialist,Nephrology,207P00000X,NC,In-Network,GRP8210
+1453283987,Hospital/Facility,Critical Access Hospital,207P00000X,NY,In-Network,GRP5853
+1148984206,Specialist,Psychiatry,207P00000X,NY,In-Network,GRP9167
+1132188260,PCP,Family Medicine,207Q00000X,OH,In-Network,GRP9352
+1434029575,Specialist,Endocrinology,207P00000X,TX,In-Network,GRP7908
+1361302520,Hospital/Facility,Critical Access Hospital,207P00000X,OH,In-Network,GRP1708
+1896447406,Specialist,Nephrology,207P00000X,PA,Out-of-Network,GRP9008
+1757138478,PCP,Pediatrics,207P00000X,OH,In-Network,GRP9174
+1590915516,Ancillary,Physical Therapy,225100000X,GA,Out-of-Network,GRP6038
+1199138277,Ancillary,Diagnostic Radiology,207P00000X,PA,Out-of-Network,GRP6392
+1865904917,Hospital/Facility,Outpatient Clinic,207P00000X,CA,In-Network,GRP8015
+1545347862,Hospital/Facility,SNF,207P00000X,TX,In-Network,GRP6330
+1486164553,Ancillary,DME Supplier,207P00000X,GA,In-Network,GRP4097
+1644128543,Specialist,Gastroenterology,207P00000X,PA,In-Network,GRP7272
+1247341320,Specialist,Urology,207P00000X,NC,Out-of-Network,GRP8066
+1645194539,Hospital/Facility,SNF,207P00000X,FL,In-Network,GRP2273
+1727809972,Ancillary,Home Health,207P00000X,NY,In-Network,GRP7116
+1550154147,Hospital/Facility,Outpatient Clinic,207P00000X,GA,In-Network,GRP2559
+1997536841,PCP,Family Medicine,207Q00000X,OH,Out-of-Network,GRP6172
+1186826716,Ancillary,Physical Therapy,225100000X,FL,In-Network,GRP1970
+1563980627,Hospital/Facility,Critical Access Hospital,207P00000X,CA,In-Network,GRP9929
+1845057593,Specialist,Orthopedic Surgery,207X00000X,NC,In-Network,GRP7010
+1561134315,Ancillary,DME Supplier,207P00000X,OH,In-Network,GRP5227
+1295371663,Hospital/Facility,Critical Access Hospital,207P00000X,FL,In-Network,GRP5534
+1606140917,Hospital/Facility,ASC,207P00000X,NY,In-Network,GRP6572
+1948810580,Ancillary,DME Supplier,207P00000X,TX,In-Network,GRP2121
+1500949740,PCP,Pediatrics,207P00000X,FL,In-Network,GRP5588
+1453936007,Hospital/Facility,ASC,207P00000X,CA,In-Network,GRP7442
+1139906830,Specialist,Endocrinology,207P00000X,TX,Out-of-Network,GRP3344
+1702692193,Ancillary,Physical Therapy,225100000X,GA,In-Network,GRP5314
+1767011137,Ancillary,DME Supplier,207P00000X,FL,In-Network,GRP3972
+1689639685,Hospital/Facility,SNF,207P00000X,GA,In-Network,GRP2448
+1696843572,Hospital/Facility,Critical Access Hospital,207P00000X,FL,Out-of-Network,GRP9808
+1691062876,Hospital/Facility,SNF,207P00000X,CA,In-Network,GRP6334
+1114982472,Specialist,Orthopedic Surgery,207X00000X,FL,In-Network,GRP4528
+1990090423,Specialist,Orthopedic Surgery,207X00000X,CA,In-Network,GRP4043
+1284035364,PCP,Pediatrics,207P00000X,IL,In-Network,GRP7113
+1845900543,Hospital/Facility,ASC,207P00000X,NC,In-Network,GRP1973
+1585582070,Hospital/Facility,Outpatient Clinic,207P00000X,OH,In-Network,GRP6103
+1118885473,Hospital/Facility,ASC,207P00000X,OH,In-Network,GRP3072
+1991459367,Specialist,Neurology,207P00000X,GA,Out-of-Network,GRP9007
+1575695214,Hospital/Facility,SNF,207P00000X,OH,In-Network,GRP8057
+1847081578,Specialist,Urology,207P00000X,NY,Out-of-Network,GRP7818
+1800011727,Ancillary,Clinical Laboratory,291U00000X,IL,Out-of-Network,GRP2312
+1224179551,Ancillary,Physical Therapy,225100000X,FL,In-Network,GRP1725
+1631954542,Specialist,Oncology,207P00000X,CA,In-Network,GRP5125
+1266606767,Hospital/Facility,ASC,207P00000X,IL,In-Network,GRP4198
+1622771872,PCP,Pediatrics,207P00000X,IL,In-Network,GRP7517
+1687650653,PCP,Internal Medicine,207R00000X,TX,In-Network,GRP7406
+1389336600,Hospital/Facility,Critical Access Hospital,207P00000X,MI,In-Network,GRP4574
+1946680931,Hospital/Facility,Critical Access Hospital,207P00000X,CA,Out-of-Network,GRP2452
+1313212303,PCP,Family Medicine,207Q00000X,IL,In-Network,GRP3917
+1542828721,Specialist,Orthopedic Surgery,207X00000X,MI,In-Network,GRP5530
+1463205530,Specialist,Nephrology,207P00000X,TX,In-Network,GRP3281
+1531398223,PCP,OB/GYN,207P00000X,NC,In-Network,GRP3859
+1795618275,Specialist,Pulmonology,207P00000X,GA,In-Network,GRP3166
+1809014947,Specialist,Urology,207P00000X,IL,In-Network,GRP1582
+1817234602,Ancillary,Clinical Laboratory,291U00000X,MI,In-Network,GRP6410
+1422747896,Specialist,Urology,207P00000X,PA,In-Network,GRP9973
+1124394415,PCP,Pediatrics,207P00000X,NY,In-Network,GRP9566
+1840431511,PCP,Geriatrics,207P00000X,PA,Out-of-Network,GRP9363
+1372918899,PCP,Family Medicine,207Q00000X,FL,In-Network,GRP6929
+1520687146,Hospital/Facility,ASC,207P00000X,TX,In-Network,GRP7726
+1713934949,Specialist,Neurology,207P00000X,CA,In-Network,GRP1577
+1790497490,PCP,OB/GYN,207P00000X,FL,In-Network,GRP2809
+1438368327,Ancillary,Home Health,207P00000X,OH,In-Network,GRP7354
+1475984649,Hospital/Facility,SNF,207P00000X,NC,In-Network,GRP9895
+1219817751,PCP,OB/GYN,207P00000X,MI,In-Network,GRP9173
+1745114564,Specialist,Endocrinology,207P00000X,TX,In-Network,GRP6676
+1528335731,Hospital/Facility,Critical Access Hospital,207P00000X,NY,In-Network,GRP1980
+1193493783,Hospital/Facility,Critical Access Hospital,207P00000X,NY,Out-of-Network,GRP9693
+1227362142,Ancillary,DME Supplier,207P00000X,CA,In-Network,GRP3861
+1749327647,PCP,Geriatrics,207P00000X,NY,In-Network,GRP1383
+1198133277,Hospital/Facility,SNF,207P00000X,FL,In-Network,GRP7913
+1569105090,PCP,Geriatrics,207P00000X,NC,In-Network,GRP2561
+1728018911,Specialist,Nephrology,207P00000X,TX,In-Network,GRP3714
+1242201429,Hospital/Facility,General Acute Care Hospital,282N00000X,GA,In-Network,GRP7094
+1366286000,Hospital/Facility,SNF,207P00000X,NC,In-Network,GRP9687
+1239316214,PCP,Internal Medicine,207R00000X,IL,In-Network,GRP9163
+1891849440,Specialist,Oncology,207P00000X,TX,In-Network,GRP2472