Healthcare
20 columns
200 rows
8 formats

Healthcare Prescription Pattern Analysis

This dataset provides detailed synthetic records of prescription events, including patient demographics, prescriber characteristics, drug details, and prescription parameters. Designed for healthcare analytics, it enables the identification of unusual prescribing patterns, supports compliance monitoring, and facilitates research into medication usage trends and risk management.

last updated 12 Jul 2025
by GoMask

The brief that made it

Detecting unusual or potentially non-compliant prescribing patterns

Sample rows

preview · 8 of 200 rows · all 20 columns

prescription_idstring	payment_typestring	refill_countinteger	is_high_risk_drugboolean	prescriber_statestring	prescription_datedate	patient_idstring	patient_genderstring	patient_birth_datedate	patient_zip_codestring	prescriber_idstring	prescriber_specialtystring	drug_namestring	drug_classstring	dosage_strengthstring	dosage_formstring	quantity_dispensedinteger	days_supplyinteger	prescription_statusstring	diagnosis_codestring
RX100001	insurance	2	false	NY	2023-01-12	PT001	female	1986-05-22	10011	DR001	Internal Medicine	Sertraline	SSRI Antidepressant	50mg	tablet	30	30	filled	F33.1
RX100002	insurance	3	false	FL	2022-11-18	PT002	male	1952-02-14	33162	DR002	Cardiology	Atorvastatin	HMG-CoA Reductase Inhibitor	20mg	tablet	90	90	filled	E78.5
RX100003	insurance	1	true	IL	2024-02-28	PT003	other	2003-09-11	60611	DR003	Psychiatry	Quetiapine	Atypical Antipsychotic	100mg	tablet	60	30	filled	F20.9
RX100004	insurance	2	false	WA	2023-05-07	PT004	female	1995-07-04	98109	DR004	Family Medicine	Metformin	Biguanide	500mg	tablet	60	30	filled	E11.9
RX100005	insurance	1	false	MA	2022-10-12	PT005	male	2015-01-19	02139	DR005	Pediatrics	Amoxicillin	Penicillin Antibiotic	250mg/5mL	suspension	90	10	filled	J02.9
RX100006	government	2	true	PA	2021-12-12	PT006	unknown	1962-08-30	15213	DR006	Rheumatology	Methotrexate	Antimetabolite	7.5mg	tablet	4	28	filled	M05.79
RX100007	insurance	2	true	CA	2023-10-30	PT007	female	1978-03-12	90210	DR007	Endocrinology	Insulin Glargine	Long-acting Insulin	100U/mL	injection	10	30	filled	E11.65
RX100008	insurance	0	false	TX	2023-11-02	PT008	female	2018-08-15	77005	DR008	Pediatrics	Albuterol	Beta-2 Agonist	0.083%	inhaler	1	15	filled	J45.909
RX100009	government	4	true	OH	2024-03-10	PT009	male	1943-01-05	43215	DR009	Geriatrics	Donepezil	Cholinesterase Inhibitor	10mg	tablet	30	30	filled	G30.9
RX100010	insurance	2	false	NY	2022-05-26	PT010	female	1983-11-26	10011	DR001	Internal Medicine	Lisinopril	ACE Inhibitor	10mg	tablet	90	90	filled	I10
RX100011	insurance	0	false	MA	2022-12-15	PT011	unknown	2011-02-29	blank	DR010	Pediatrics	Acetaminophen	Analgesic	160mg/5mL	suspension	24	7	filled	R50.9
RX100012	government	5	true	CO	2020-07-07	PT012	male	1955-10-17	80203	DR011	Cardiology	Warfarin	Anticoagulant	5mg	tablet	30	30	filled	I48.91
RX100013	other	0	false	PA	2021-05-05	PT013	female	2008-10-08	19104	DR012	Family Medicine	Vitamin K	Vitamin	10mg/mL	injection	1	1	filled	blank
RX100014	cash	2	true	MA	2022-03-03	PT014	other	1973-12-31	02111	DR013	Psychiatry	Clonazepam	Benzodiazepine	0.5mg	tablet	30	30	filled	F41.1
RX100015	insurance	3	false	CA	2024-04-01	PT015	female	1976-06-23	90024	DR004	Family Medicine	Levothyroxine	Thyroid Hormone	100mcg	tablet	90	90	filled	E03.9
RX100016	insurance	1	false	NY	2023-09-16	PT016	male	2002-04-30	10021	DR014	Internal Medicine	Fluoxetine	SSRI Antidepressant	20mg	capsule	30	30	pending	F32.0
RX100017	insurance	0	false	MA	2021-07-26	PT017	female	2016-02-20	blank	DR010	Pediatrics	Ibuprofen	NSAID	100mg/5mL	suspension	20	5	filled	R51
RX100018	cash	0	true	IL	2021-08-22	PT018	unknown	1980-10-10	60616	DR003	Psychiatry	Lorazepam	Benzodiazepine	1mg	tablet	30	15	cancelled	F41.9
RX100019	government	1	true	DC	2024-05-11	PT019	male	1970-09-09	20001	DR015	Oncology	Morphine	Opioid Analgesic	15mg	tablet	60	30	pending	C34.90
RX100020	insurance	1	false	TX	2020-11-30	PT020	female	2005-07-11	75205	DR016	Family Medicine	Ampicillin	Penicillin Antibiotic	125mg	capsule	30	10	filled	J20.9

What the 200 rows show

from the 200-row sample

Government (payment type) stands out: mean refill_count is 4.8, against 1.2 for the rest.

31%is_high_risk_drug = true
1median refill_count
4patient genders
4prescription statuses
7dosage forms
11prescriber specialties

Mean refill_count by payment_type200 rows

refill_count200 rows, in bands of 2

Median 1, from 0 to 11.

prescriber_state200 rows · top 10 of 15 values

MA25
IL23
NY22
CA22
PA20
FL19
TX18
WA14
OH11
CO11

20 columns by typefrom the column list below

string 14
integer 3
date 2
boolean 1

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 14 columns
`prescription_id`	string	Unique identifier for each prescription eventunique	RX100001
`patient_id`	string	Unique identifier for the patient receiving the prescription	PT001
`patient_gender`	string	Gender of the patientmale · female · other · unknown	female
`patient_zip_code`	string	Postal code of the patient's residenceoptional	10011
`prescriber_id`	string	Unique identifier for the prescriber (doctor or provider)	DR001
`prescriber_specialty`	string	Medical specialty of the prescriber11 specialties	Internal Medicine
`prescriber_state`	string	State where the prescriber practicesoptional	NY
`drug_name`	string	Name of the prescribed drug (generic or brand)	Sertraline
`drug_class`	string	Therapeutic class or category of the drugoptional	SSRI Antidepressant
`dosage_strength`	string	Strength of the medication (e.g., 500mg, 10mg/mL)optional	50mg
`dosage_form`	string	Form of the medication (e.g., tablet, capsule, injection)7 forms · optional	tablet
`prescription_status`	string	Current status of the prescription (e.g., filled, cancelled, pending)filled · cancelled · pending · expired	filled
`diagnosis_code`	string	Primary diagnosis code (e.g., ICD-10) associated with the prescriptionoptional	F33.1
`payment_type`	string	Type of payment used for the prescription (e.g., insurance, cash, government)insurance · cash · government · other · optional	insurance
Numbers 3 columns
`quantity_dispensed`	integer	Number of units dispensed in this prescription1 or more	30
`days_supply`	integer	Number of days the prescription is intended to last1 or more	30
`refill_count`	integer	Number of refills authorized for this prescription0 or more · optional	2
Dates and times 2 columns
`prescription_date`	date	Date when the prescription was issued	2023-01-12
`patient_birth_date`	date	Birth date of the patient	1986-05-22
True or false 1 column
`is_high_risk_drug`	boolean	Indicates if the prescribed drug is classified as high risk (e.g., opioid, controlled substance)optional	false

Use it for

A healthcare dashboard
The is_high_risk_drug rate, refill_count by payment_type and a breakdown of prescriber_state. Excel, Power BI or Tableau.
Why do the 37 government rows have a mean refill_count of 4.8?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Prescriptions200
RX1000012insurance
RX1000031insurance
RX1000062governme…
A software demo
Believable prescriptions with prescription_date, patient_id and patient_gender to fill a screen in front of a buyer.

This dataset200 rows20 columns

Yours1,000 rows20 columnspatient_zip_code: UK only

blueprint · healthcare-prescription-pattern-analysis

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 20 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

Each row: prescription for a drug to a patient
Includes drug class, dosage, frequency
Prescriber and patient demographics randomized
Flag high-risk combinations
Prescription channel (in-person, telehealth) included

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

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: healthcare-prescription-pattern-analysis

What should your data show?

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Sample rows

What the 200 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?