Healthcare
27 columns
200 rows
8 formats

Prescription Adherence Tracking

This dataset provides comprehensive tracking of patient prescription fills and refills, capturing detailed adherence metrics, patient demographics, medication details, and pharmacy information. It enables robust analysis of medication adherence patterns and supports outcome improvement strategies for healthcare providers and researchers.

last updated 20 Aug 2025
by GoMask

The brief that made it

Medication adherence analysis for clinical studies

Sample rows

preview · 8 of 200 rows · all 27 columns

adherence_idstring	adherence_statusstring	adherence_scorefloat	outcome_improvement_flagboolean	pharmacy_countrystring	patient_idstring	patient_first_namestring	patient_last_namestring	patient_date_of_birthdate	patient_genderstring	prescription_idstring	medication_namestring	medication_dosagestring	medication_frequencystring	prescribing_physician_idstring	prescribing_physician_namestring	pharmacy_idstring	pharmacy_namestring	pharmacy_street_addressstring	pharmacy_citystring	pharmacy_statestring	pharmacy_postal_codestring	fill_datedate	refill_numberinteger	days_supplyinteger	next_refill_due_datedate	notesstring
ADH-0001	adherent	0.91	true	USA	PAT-0001	Robert	Miller	1951-03-22	male	RX-0001	Atorvastatin	20mg	once daily	PHY-0001	Dr. Lauren Chen	PHARM-0001	CVS Pharmacy	123 Main St	Boston	MA	02118	2024-02-12	0	30	2024-03-13	Patient receives app reminders for medication.
ADH-0002	adherent	0.84	false	USA	PAT-0002	Priya	Singh	1976-08-06	female	RX-0002	Metformin	500mg	twice daily	PHY-0002	Dr. Martin Lopez	PHARM-0002	Walgreens	456 Oak Ave	Chicago	IL	60616	2024-03-01	0	60	2024-04-30	Patient joined local diabetes support group.
ADH-0003	unknown	blank	false	UK	PAT-0003	James	Nguyen	2009-10-15	male	RX-0003	Amoxicillin	250mg	as needed	PHY-0003	Dr. Emily Foster	PHARM-0003	Boots Pharmacy	22 High St	London	Greater London	EC1A 1BB	2024-04-05	0	7	blank	Parent provided education on antibiotic course.
ADH-0004	adherent	0.88	true	Mexico	PAT-0004	Maria	Gonzalez	1984-12-04	female	RX-0004	Lisinopril	10mg	once daily	PHY-0004	Dr. Sarah Wu	PHARM-0004	Farmacias Guadalajara	789 Calle Juarez	Guadalajara	Jalisco	44100	2024-03-18	0	30	2024-04-17	Patient receives SMS reminders.
ADH-0005	non-adherent	0.33	true	Oman	PAT-0005	Ahmed	Al-Farsi	1959-11-11	male	RX-0005	Amlodipine	5mg	once daily	PHY-0005	Dr. Hassan Farouk	PHARM-0005	Al Shifa Pharmacy	101 Sultan Rd	Muscat	Muscat	112	2024-02-28	0	60	2024-04-28	Case manager performed phone intervention.
ADH-0006	adherent	0.97	false	Canada	PAT-0006	Lucy	Dawson	1970-09-21	female	RX-0006	Levothyroxine	50mcg	once daily	PHY-0006	Dr. Robert Grant	PHARM-0006	Shoppers Drug Mart	212 King St W	Toronto	ON	M5H 1K6	2024-03-07	0	90	2024-06-05	Patient has routine lab monitoring.
ADH-0007	unknown	blank	true	Spain	PAT-0007	Sofia	Martinez	2014-06-10	female	RX-0007	Albuterol Inhaler	2puffs	as needed	PHY-0007	Dr. Juan Perez	PHARM-0007	Farmacia del Sol	34 Calle Rio	Madrid	Madrid	28012	2024-03-15	0	30	blank	Parent attended asthma education session.
ADH-0008	adherent	0.89	false	USA	PAT-0008	Thomas	Brown	1947-02-02	male	RX-0008	Warfarin	2mg	once daily	PHY-0008	Dr. Anna Lee	PHARM-0008	Rite Aid	88 Market St	San Francisco	CA	94107	2024-03-10	0	60	2024-05-09	Home health nurse visits weekly.
ADH-0009	adherent	0.92	true	UK	PAT-0009	Chloe	Evans	1988-05-23	female	RX-0009	Sertraline	50mg	once daily	PHY-0009	Dr. Mark Harris	PHARM-0009	Lloyds Pharmacy	18 Church Rd	Manchester	Greater Manchester	M23 9PW	2024-03-21	0	30	2024-04-20	Patient uses medication tracking app.
ADH-0010	non-adherent	0.27	true	Singapore	PAT-0010	Wei	Chen	1964-07-19	other	RX-0010	Glimepiride	4mg	once daily	PHY-0010	Dr. Jessica Park	PHARM-0010	Guardian Pharmacy	55 Orchard Rd	Singapore	Central	238863	2024-01-28	0	30	2024-02-27	Patient received counseling for missed doses.
ADH-0011	adherent	0.87	false	Russia	PAT-0011	Elena	Ivanova	1992-09-09	female	RX-0011	Lamotrigine	100mg	twice daily	PHY-0011	Dr. Dmitry Petrov	PHARM-0011	Apteka 36.6	11 Pushkin St	Moscow	Moscow	101000	2024-03-03	0	60	2024-05-02	Patient attends epilepsy support group.
ADH-0012	adherent	0.98	true	USA	PAT-0012	John	O'Brien	1955-11-02	male	RX-0012	Simvastatin	40mg	once daily	PHY-0012	Dr. Alice Murphy	PHARM-0012	CVS Pharmacy	500 Park Ave	New York	NY	10022	2024-03-13	1	30	2024-04-12	Patient receives weekly medication reminders.
ADH-0013	adherent	0.81	false	Portugal	PAT-0013	Isabel	Santos	1961-05-30	female	RX-0013	Bisoprolol	5mg	once daily	PHY-0013	blank	PHARM-0013	Farmacia Central	12 Rua de Lisboa	Lisbon	Lisboa	1100-001	2024-02-25	0	60	2024-04-25	Patient tracks doses with pill box.
ADH-0014	non-adherent	0.14	true	Saudi Arabia	PAT-0014	Mohammed	Al Saeed	1980-12-18	male	RX-0014	Losartan	50mg	once daily	PHY-0014	Dr. Fatima Abbas	PHARM-0014	Al Noor Pharmacy	78 King Fahd Rd	Riyadh	Riyadh	11564	2024-03-20	0	90	2024-06-18	Patient missed several doses, counseled.
ADH-0015	adherent	0.79	true	USA	PAT-0015	Ava	Thompson	2010-07-25	female	RX-0015	Azithromycin	250mg	once daily	PHY-0015	Dr. Grace Kim	PHARM-0015	CVS Pharmacy	789 Elm St	Houston	TX	77002	2024-03-25	0	5	2024-03-30	Parent received antibiotic adherence handout.
ADH-0016	adherent	0.95	false	USA	PAT-0016	Charles	Wilson	1978-07-14	male	RX-0016	Rosuvastatin	10mg	once daily	PHY-0016	Dr. Jennifer Lee	PHARM-0016	CVS Pharmacy	300 Main St	Seattle	WA	98101	2024-01-20	1	30	2024-02-19	Patient enrolled in medication reminder program.
ADH-0017	adherent	0.93	false	India	PAT-0017	Maya	Patel	1987-04-28	female	RX-0017	Insulin Glargine	20units	once daily	PHY-0017	Dr. Sunil Rao	PHARM-0017	Apollo Pharmacy	45 MG Road	Bangalore	Karnataka	560001	2024-02-14	0	60	2024-04-14	Patient receives monthly diabetes education.
ADH-0018	adherent	0.89	false	Russia	PAT-0018	Olga	Kuznetsova	1973-03-11	female	RX-0018	Enalapril	10mg	once daily	PHY-0018	Dr. Ivan Smirnov	PHARM-0018	Apteka 36.6	25 Tverskaya St	Moscow	Moscow	101001	2024-03-06	0	90	2024-06-04	Patient has regular blood pressure monitoring.
ADH-0019	adherent	0.86	false	USA	PAT-0019	Emily	Clark	1938-09-30	female	RX-0019	Furosemide	40mg	twice daily	PHY-0019	Dr. William Barton	PHARM-0019	Walgreens	21 Maple St	St. Louis	MO	63108	2024-02-18	0	30	2024-03-19	Home visits scheduled for medication support.
ADH-0020	non-adherent	0.32	true	USA	PAT-0020	Samuel	Johnson	2005-12-11	male	RX-0020	Clarithromycin	500mg	twice daily	PHY-0020	Dr. Linda Carter	PHARM-0020	CVS Pharmacy	222 Pine St	San Diego	CA	92101	2024-03-16	0	7	blank	Parent did not complete recommended antibiotic course.

What the 200 rows show

from the 200-row sample

Adherent (adherence status) stands out: mean adherence_score is 0.89, against 0.29 for the rest.

51%outcome_improvement_flag = true
0.88median adherence_score
4patient genders
5medication frequencies
33medication dosages
54medication names

Mean adherence_score by adherence_status171 rows

adherence_score171 rows, in bands of 0.1

Median 0.88, from 0.03 to 0.99.

pharmacy_country200 rows · top 10 of 34 values

USA60
UK23
Mexico12
Canada10
India9
Germany9
Russia7
Brazil6
France6
Spain5

27 columns by typefrom the column list below

string 20
integer 2
float 1
date 3
boolean 1

Columns

27 columns in four groups

blueprint · 27 columns
column	type	description	example
Text 20 columns
`adherence_id`	string	Unique identifier for each prescription adherence recordunique	ADH-0001
`patient_id`	string	Unique identifier for the patient	PAT-0001
`patient_first_name`	string	Patient's first name	Robert
`patient_last_name`	string	Patient's last name	Miller
`patient_gender`	string	Patient's gendermale · female · other · unknown · optional	male
`prescription_id`	string	Unique identifier for the prescription	RX-0001
`medication_name`	string	Name of the prescribed medication	Atorvastatin
`medication_dosage`	string	Dosage of the medication (e.g., 10mg)	20mg
`medication_frequency`	string	Frequency of medication intake (e.g., once daily)5 frequencies	once daily
`prescribing_physician_id`	string	Unique identifier for the prescribing physician	PHY-0001
`prescribing_physician_name`	string	Name of the prescribing physicianoptional	Dr. Lauren Chen
`pharmacy_id`	string	Unique identifier for the pharmacy	PHARM-0001
`pharmacy_name`	string	Name of the pharmacyoptional	CVS Pharmacy
`pharmacy_street_address`	string	Street address of the pharmacyoptional	123 Main St
`pharmacy_city`	string	City where the pharmacy is locatedoptional	Boston
`pharmacy_state`	string	State where the pharmacy is locatedoptional	MA
`pharmacy_postal_code`	string	Postal code of the pharmacyoptional	02118
`pharmacy_country`	string	Country where the pharmacy is locatedoptional	USA
`adherence_status`	string	Status indicating if the patient is adherent, non-adherent, or unknown for this filladherent · non-adherent · unknown	adherent
`notes`	string	Additional notes or comments related to adherence or interventionsoptional	Patient receives app remi…
Numbers 3 columns
`refill_number`	integer	Refill sequence number for the prescription (0 for initial fill)0 or more	0
`days_supply`	integer	Number of days the medication supply is expected to last1 or more	30
`adherence_score`	float	Calculated adherence score for this fill (0.0 to 1.0)0 to 1 · optional	0.91
Dates and times 3 columns
`patient_date_of_birth`	date	Patient's date of birth	1951-03-22
`fill_date`	date	Date when the prescription was filled	2024-02-12
`next_refill_due_date`	date	Date when the next refill is due based on days supplyoptional	2024-03-13
True or false 1 column
`outcome_improvement_flag`	boolean	Indicates if an outcome improvement strategy was applied for this patient/prescriptionoptional	true

Use it for

A healthcare dashboard
The outcome_improvement_flag rate, adherence_score by adherence_status and a breakdown of pharmacy_country. Excel, Power BI or Tableau.
Why do the 149 adherent rows have a mean adherence_score of 0.89?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Adherences200
ADH-00010.91adherent
ADH-00020.84adherent
ADH-00040.88adherent
A software demo
Believable adherences with patient_id, patient_first_name and patient_last_name to fill a screen in front of a buyer.

This dataset200 rows27 columns

Yours1,000 rows27 columnspharmacy_street_address: UK only

blueprint · prescription-adherence-tracking

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 27 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

Medication type and dosage recorded
Missed refills flagged
Patient demographics included
Adherence rates calculated monthly

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: prescription-adherence-tracking

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.

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What should your data show?