Healthcare
30 columns
100 rows
8 formats

Explanation of Benefits (EOB) and Patient Statements

This dataset provides a comprehensive record of healthcare Explanation of Benefits (EOB) documents and patient billing statements, detailing services rendered, insurance payments, adjustments, patient responsibility, payment history, and outstanding balances. It enables robust analysis of healthcare billing, insurance claims, patient collections, and financial performance for providers and payers.

last updated 2 Nov 2025
by GoMask

The brief that made it

Revenue cycle management and collections optimization

Sample rows

preview · 8 of 100 rows · all 30 columns

eob_idstring	statement_statusstring	balance_duefloat	patient_statestring	patient_idstring	patient_first_namestring	patient_last_namestring	patient_date_of_birthdate	patient_street_addressstring	patient_citystring	patient_postal_codestring	patient_countrystring	provider_idstring	provider_namestring	service_datedate	service_codestring	billed_amountfloat	insurance_paid_amountfloat	adjustment_amountfloat	patient_responsibility_amountfloat	statement_idstring	statement_datedate	payment_received_amountfloat	payment_received_datedate	insurance_plan_idstring	insurance_plan_namestring	claim_numberstring	denial_codestring	denial_reasonstring	service_descriptionstring
EOB1001	paid	0	IL	PAT2001	Emily	Stevens	1986-05-14	342 Oak Ave	Springfield	62704	USA	PROV3001	Springfield Medical Group	2024-03-11	99213	150	110	20	20	STMT4001	2024-03-18	20	2024-03-22	INS5001	Aetna POS	CLM6001	blank	blank	Office/outpatient visit, established patient
EOB1002	paid	0	OH	PAT2002	Michael	Nguyen	1972-11-30	789 Chestnut Rd	Columbus	43215	USA	PROV3002	Ohio Family Clinic	2024-02-19	80053	75	60	10	5	STMT4002	2024-02-26	5	2024-03-05	INS5002	UnitedHealthcare Select	CLM6002	blank	blank	Comprehensive metabolic panel
EOB1003	paid	0	TX	PAT2003	Sophia	Garcia	2001-06-21	105 Spruce Blvd	San Antonio	78205	USA	PROV3003	Alamo Health	2024-04-02	93000	95	70	15	10	STMT4003	2024-04-09	10	2024-04-15	INS5003	BlueCross BlueShield TX	CLM6003	blank	blank	Electrocardiogram, routine ECG with interpretation
EOB1004	unpaid	25	WI	PAT2004	David	Smith	1959-09-09	222 Willow Dr	Madison	53703	USA	PROV3004	Madison Cardiology Assoc	2024-01-15	99214	205	150	30	25	STMT4004	2024-01-22	0	blank	INS5004	Humana Gold Plus	CLM6004	blank	blank	Office/outpatient visit, established patient, moderate complexity
EOB1005	partial payment	5	WA	PAT2005	Linda	Park	1982-03-03	88 Lakeview Ct	Seattle	98101	USA	PROV3005	Seattle Primary Care	2024-04-20	81002	35	20	5	10	STMT4005	2024-04-27	5	2024-05-02	INS5005	Kaiser Permanente NW	CLM6005	blank	blank	Urinalysis, non-automated, without microscopy
EOB1006	paid	0	CO	PAT2006	James	Lee	1993-12-19	444 Cypress St	Denver	80203	USA	PROV3006	Denver Health Center	2024-03-26	36415	20	15	2	3	STMT4006	2024-04-02	3	2024-04-10	INS5006	Cigna Open Access	CLM6006	blank	blank	Routine venipuncture
EOB1007	unpaid	5	CA	PAT2007	Ava	Waters	2011-07-26	17 Pine St	Los Angeles	90012	USA	PROV3007	LA Pediatric Group	2024-05-01	90471	50	40	5	5	STMT4007	2024-05-08	0	blank	INS5007	Anthem Blue Cross CA	CLM6007	blank	blank	Immunization administration
EOB1008	partial payment	25	AZ	PAT2008	Oliver	Brown	1967-10-05	301 Maple Lane	Phoenix	85004	USA	PROV3008	Phoenix Wellness Center	2024-02-09	70450	650	500	100	50	STMT4008	2024-02-16	25	2024-02-20	INS5008	Aetna Choice POS II	CLM6008	blank	blank	CT scan head/brain without contrast
EOB1009	paid	0	TX	PAT2009	Lucas	Martinez	1989-02-02	505 Elm Ave	Houston	77002	USA	PROV3009	Houston Medical Center	2024-01-31	99203	175	130	25	20	STMT4009	2024-02-07	20	2024-02-12	INS5009	Cigna PPO	CLM6009	blank	blank	Office/outpatient visit, new patient
EOB1010	paid	0	FL	PAT2010	Ella	Johnson	1997-09-18	28 Cedar St	Miami	33101	USA	PROV3010	Miami Healthcare Assoc	2024-03-06	81001	40	30	5	5	STMT4010	2024-03-13	5	2024-03-18	INS5010	Florida Blue	CLM6010	blank	blank	Urinalysis, automated, with microscopy
EOB1011	partial payment	5	OR	PAT2011	Grace	White	1979-04-22	412 Aspen St	Portland	97205	USA	PROV3011	Oregon Health Clinic	2024-02-28	99212	135	100	20	15	STMT4011	2024-03-05	10	2024-03-09	INS5011	Moda Health	CLM6011	blank	blank	Office/outpatient visit, established patient, minor complexity
EOB1012	unpaid	25	MN	PAT2012	Henry	Anderson	1960-08-11	96 Poplar Ave	Minneapolis	55401	USA	PROV3012	Twin Cities Hospital	2024-01-05	99215	225	170	30	25	STMT4012	2024-01-12	0	blank	INS5012	Medica Choice	CLM6012	blank	blank	Office/outpatient visit, established patient, high complexity
EOB1013	paid	0	MD	PAT2013	Mia	Davis	1995-01-15	733 Redwood Dr	Baltimore	21201	USA	PROV3013	Baltimore Family Practice	2024-03-12	99396	120	90	20	10	STMT4013	2024-03-19	10	2024-03-26	INS5013	CareFirst BlueChoice	CLM6013	blank	blank	Preventive visit, established patient, age 18-39
EOB1014	paid	0	GA	PAT2014	William	Evans	1976-07-29	56 Magnolia Blvd	Atlanta	30303	USA	PROV3014	Atlanta Medical Group	2024-02-13	85025	55	40	10	5	STMT4014	2024-02-20	5	2024-02-25	INS5014	Peach State Health Plan	CLM6014	blank	blank	Complete blood count, automated
EOB1015	paid	0	CA	PAT2015	Charlotte	Kim	2009-02-02	312 Willowbrook Ln	San Diego	92101	USA	PROV3015	San Diego Pediatrics	2024-05-10	90686	45	35	5	5	STMT4015	2024-05-17	5	2024-05-22	INS5015	Sharp Health Plan	CLM6015	blank	blank	Influenza vaccine, quadrivalent
EOB1016	paid	0	MA	PAT2016	Benjamin	Clark	1965-10-17	1027 Sycamore Pl	Boston	02108	USA	PROV3016	Boston General Hospital	2024-02-25	71020	120	85	25	10	STMT4016	2024-03-04	10	2024-03-10	INS5016	Harvard Pilgrim HMO	CLM6016	blank	blank	Chest x-ray, two views
EOB1017	unpaid	20	PA	PAT2017	Emma	Lewis	1990-08-30	657 Cherry Cir	Philadelphia	19102	USA	PROV3017	Pennsylvania Family Med	2024-04-06	99203	175	130	25	20	STMT4017	2024-04-13	0	blank	INS5017	Independence Blue Cross	CLM6017	blank	blank	Office/outpatient visit, new patient
EOB1018	paid	0	TX	PAT2018	Jack	Moore	1985-03-11	23 Walnut St	Dallas	75201	USA	PROV3018	Dallas Internal Medicine	2024-04-12	99214	205	150	30	25	STMT4018	2024-04-19	25	2024-04-25	INS5018	BlueCross BlueShield TX	CLM6018	blank	blank	Office/outpatient visit, established patient, moderate complexity
EOB1019	paid	0	CA	PAT2019	Harper	Young	2007-05-24	59 Birch Dr	San Jose	95112	USA	PROV3019	San Jose Pediatrics	2024-05-15	99394	80	60	15	5	STMT4019	2024-05-22	5	2024-05-28	INS5019	Santa Clara Family Health	CLM6019	blank	blank	Preventive visit, established patient, age 12-17
EOB1020	paid	0	NV	PAT2020	Samuel	Hall	1974-04-04	199 Palm St	Las Vegas	89101	USA	PROV3020	Las Vegas Family Clinic	2024-01-08	90716	120	90	20	10	STMT4020	2024-01-15	10	2024-01-19	INS5020	SilverSummit Healthplan	CLM6020	blank	blank	Varicella vaccine

What the 100 rows show

from the 100-row sample

Unpaid (statement status) stands out: mean balance_due is 17.1, against 2.4 for the rest.

5median balance_due
26service codes
120median billed_amount
90median insurance_paid_amount
25median adjustment_amount
12.5median patient_responsibility_amount

Mean balance_due by statement_status100 rows

balance_due100 rows, in bands of 5

Median 5, from 0 to 40.

patient_state100 rows · top 10 of 37 values

TX11
CA10
FL7
OH5
WI4
OR4
NC4
TN4
MO4
IL3

30 columns by typefrom the column list below

string 20
float 6
date 4

Columns

30 columns in three groups

blueprint · 30 columns
column	type	description	example
Text 20 columns
`eob_id`	string	Unique identifier for each Explanation of Benefits documentunique	EOB1001
`patient_id`	string	Unique identifier for the patient associated with the EOB and statement	PAT2001
`patient_first_name`	string	Patient's first name	Emily
`patient_last_name`	string	Patient's last name	Stevens
`patient_street_address`	string	Patient's street addressoptional	342 Oak Ave
`patient_city`	string	Patient's cityoptional	Springfield
`patient_state`	string	Patient's stateoptional	IL
`patient_postal_code`	string	Patient's postal codeoptional	62704
`patient_country`	string	Patient's countryoptional	USA
`provider_id`	string	Unique identifier for the healthcare provider	PROV3001
`provider_name`	string	Name of the healthcare provider or facility	Ohio Family Clinic
`service_code`	string	Standard code for the medical service/procedure (e.g., CPT, HCPCS)	99213
`service_description`	string	Description of the medical service rendered	Routine venipuncture
`statement_id`	string	Unique identifier for the patient billing statementunique	STMT4001
`insurance_plan_id`	string	Unique identifier for the insurance planoptional	INS5001
`insurance_plan_name`	string	Name of the insurance planoptional	Aetna POS
`claim_number`	string	Insurance claim reference numberoptional	CLM6001
`denial_code`	string	Code indicating reason for claim denial, if applicableoptional
`denial_reason`	string	Description of the reason for claim denial, if applicableoptional
`statement_status`	string	Current status of the patient statement (e.g., paid, unpaid, in collections)paid · unpaid · in collections · partial payment · pending	paid
Numbers 6 columns
`billed_amount`	float	Total amount billed for the service0 or more	150
`insurance_paid_amount`	float	Amount paid by insurance for the service0 or more	110
`adjustment_amount`	float	Amount adjusted (discounts, write-offs, contractual adjustments)0 or more · optional	20
`patient_responsibility_amount`	float	Amount the patient is responsible for paying0 or more	20
`payment_received_amount`	float	Amount of payment received from the patient0 or more · optional	20
`balance_due`	float	Outstanding balance due from the patient after payments and adjustments0 or more	0
Dates and times 4 columns
`patient_date_of_birth`	date	Patient's date of birthoptional	1986-05-14
`service_date`	date	Date when the medical service was rendered	2024-03-11
`statement_date`	date	Date the patient billing statement was issued	2024-03-18
`payment_received_date`	date	Date payment was received from the patientoptional	2024-03-22

Use it for

A healthcare dashboard
Balance_due by statement_status and a breakdown of patient_state. Excel, Power BI or Tableau.
Why do the 34 unpaid rows have a mean balance_due of 17.1?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Eobs100
EOB10010paid
EOB10020paid
EOB10030paid
A software demo
Believable eobs with patient_id, patient_first_name and patient_last_name to fill a screen in front of a buyer.

This dataset100 rows30 columns

Yours10,000 rows30 columnspatient_street_address: UK only

blueprint · explanation-of-benefits-eob-and-patient-statements

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 30 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

EOB ID unique per insurance payment
Service date and provider
Billed charges, allowed amount, insurance paid
Patient responsibility: deductible, coinsurance, copay, non-covered
Claim adjustment reason codes explanations
Patient statement consolidates all charges
Previous balance, new charges, payments, adjustments
Current balance due

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: explanation-of-benefits-eob-and-patient-statements

What should your data show?

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Sample rows

What the 100 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?