Healthcare
19 columns
200 rows
8 formats

Drug Trial Patient Outcomes

This dataset provides detailed, patient-level outcome data from clinical drug trials, including demographics, drug administration, efficacy measures, and adverse event reporting. It enables comprehensive analysis of drug effectiveness and safety across diverse populations, supporting regulatory submissions, pharmacovigilance, and clinical research. The dataset is structured for interoperability and advanced analytics.

last updated 20 Aug 2025
by GoMask

The brief that made it

Drug efficacy and safety analysis for regulatory submissions

Sample rows

preview · 8 of 200 rows · all 19 columns

patient_idstring	trial_completion_statusstring	dosage_mgfloat	serious_adverse_eventboolean	countrystring	trial_idstring	drug_namestring	administration_routestring	enrollment_datedate	ageinteger	sexstring	ethnicitystring	primary_outcomestring	outcome_measure_valuefloat	outcome_measure_unitstring	adverse_event_reportedboolean	adverse_event_descriptionstring	withdrawal_reasonstring	followup_datedate
P001-TRX12	completed	35.5	false	US	TRIAL-001	Zyproxil	oral	2022-06-14	22	female	Hispanic	remission	blank	blank	false	blank	blank	2023-06-10
P002-JPX34	completed	50	false	UK	TRIAL-001	Zyproxil	oral	2023-09-05	48	male	White	improvement	blank	blank	false	blank	blank	2024-01-22
P003-VLT56	completed	10	false	SG	TRIAL-001	Zyproxil	oral	2024-04-20	39	female	Asian	remission	blank	blank	false	blank	blank	2024-06-20
P004-CY89A	completed	5	false	US	TRIAL-001	Zyproxil	oral	2022-12-11	17	male	Native American	no change	blank	blank	false	blank	blank	2023-11-18
P005-MEL22	completed	0.01	false	CA	TRIAL-001	Zyproxil	oral	2023-03-01	67	female	Black	improvement	blank	blank	true	Mild rash and dizziness	blank	2024-01-05
P006-TLX41	completed	120	false	DE	TRIAL-002	Cytostate	intravenous	2022-05-22	55	male	European	biomarker_change	7.9	mg/dL	true	Severe headache post-infusion	blank	2023-05-21
P007-PLK32	completed	60	false	AU	TRIAL-002	Cytostate	intravenous	2023-01-30	83	male	White	symptom_score	3.3	points	false	blank	blank	2023-12-01
P008-CTJ87	withdrawn	200.5	true	IN	TRIAL-002	Cytostate	intravenous	2023-07-08	47	female	South Asian	biomarker_change	12.1	mg/dL	true	Transient chest pain	Serious adverse reaction required withdrawal	2023-07-15
P009-CTK88	completed	1000	true	ZA	TRIAL-002	Cytostate	intravenous	2022-10-02	85	male	Black or African American	symptom_score	1.2	points	true	Severe drop in blood pressure	blank	2023-09-28
P010-VIL23	completed	80	false	BR	TRIAL-002	Cytostate	subcutaneous	2022-08-19	21	female	Latino	improvement	blank	blank	false	blank	blank	2023-01-03
P011-MTR45	completed	2	false	FJ	TRIAL-003	Melatrin	topical	2024-02-10	8	unknown	Mixed	no change	blank	blank	false	blank	blank	2024-06-18
P012-TLX73	completed	75	false	JP	TRIAL-003	Melatrin	topical	2023-05-28	32	female	East Asian	remission	blank	blank	false	blank	blank	2024-05-28
P013-MEL99	completed	25	false	SA	TRIAL-003	Melatrin	topical	2022-11-03	62	female	Middle Eastern	improvement	blank	blank	false	blank	blank	2023-06-01
P014-VLT77	withdrawn	0	false	FJ	TRIAL-003	Melatrin	topical	2023-08-12	0	other	Pacific Islander	biomarker_change	-100	mg/dL	true	Skin irritation observed	Parental withdrawal due to adverse effect	2023-08-15
P015-CYT52	completed	15.5	false	PK	TRIAL-003	Melatrin	topical	2022-07-19	44	male	South Asian	symptom_score	5.7	points	false	blank	blank	2023-07-19
P016-TLX15	completed	35	false	US	TRIAL-004	Viltera	subcutaneous	2022-10-17	36	female	Latino	improvement	blank	blank	false	blank	blank	2023-09-18
P017-ZPX67	completed	15	false	NG	TRIAL-004	Viltera	subcutaneous	2023-04-14	52	male	Black	remission	blank	blank	false	blank	blank	2024-04-11
P018-TLX27	ongoing	100	false	SA	TRIAL-004	Viltera	subcutaneous	2022-12-04	38	male	Middle Eastern	symptom_score	9.8	points	true	Injection site swelling	blank	2024-06-09
P019-VLT99	withdrawn	5000	true	RU	TRIAL-004	Viltera	subcutaneous	2023-06-27	100	other	Unknown	biomarker_change	999999.99	mg/dL	true	Extreme allergic reaction	Required hospitalization, withdrawn	2023-07-10
P020-TLX99	completed	60	false	NZ	TRIAL-004	Viltera	subcutaneous	2022-09-23	29	female	White	improvement	blank	blank	false	blank	blank	2023-09-20

What the 200 rows show

from the 200-row sample

Withdrawn (trial completion status) stands out: 20 of its 24 rows have serious_adverse_event = true, against 9 of 176 for the rest.

14%serious_adverse_event = true
35.0median dosage_mg
2outcome measure units
4sexes
5trials
5drug names

Serious adverse event rate by trial_completion_statusserious_adverse_event = true

dosage_mg200 rows, in bands of 100k

Median 35.0, from 0.0 to 1,000,000.

country200 rows · top 10 of 18 values

US37
CA13
DE13
FJ13
UK12
IN12
ZA12
JP12
SG10
BR9

19 columns by typefrom the column list below

string 12
integer 1
float 2
date 2
boolean 2

Columns

19 columns in four groups

blueprint · 19 columns
column	type	description	example
Text 12 columns
`patient_id`	string	Unique identifier for each patient enrolled in the drug trialunique	P001-TRX12
`trial_id`	string	Unique identifier for the clinical drug trial5 trials	TRIAL-001
`drug_name`	string	Name of the drug being tested in the trial5 names	Zyproxil
`administration_route`	string	Route of drug administration (e.g., oral, intravenous, subcutaneous)6 values	oral
`sex`	string	Sex of the patientmale · female · other · unknown	female
`ethnicity`	string	Ethnicity of the patientoptional	Hispanic
`country`	string	Country where the trial was conducted for this patient	US
`primary_outcome`	string	Primary clinical outcome measured for the patient (e.g., remission, improvement, no change)5 outcomes	remission
`outcome_measure_unit`	string	Unit of measurement for the outcome value (e.g., mg/dL, points)2 units · optional	mg/dL
`adverse_event_description`	string	Description of the adverse event(s) experienced by the patient, if anyoptional	Mild rash and dizziness
`trial_completion_status`	string	Status of the patient's participation in the trial (e.g., completed, withdrawn, ongoing)completed · withdrawn · ongoing · lost_to_followup	completed
`withdrawal_reason`	string	Reason for withdrawal from the trial, if applicableoptional	Serious adverse reaction
Numbers 3 columns
`dosage_mg`	float	Dosage of the drug administered to the patient in milligrams0 or more	35.5
`age`	integer	Age of the patient at the time of enrollment0 to 120	22
`outcome_measure_value`	float	Numeric value of the primary outcome measure (e.g., change in biomarker, symptom score)optional	7.9
Dates and times 2 columns
`enrollment_date`	date	Date the patient was enrolled in the trial	2022-06-14
`followup_date`	date	Date of last follow-up with the patientoptional	2023-06-10
True or false 2 columns
`adverse_event_reported`	boolean	Indicates if any adverse event was reported by the patient during the trial	false
`serious_adverse_event`	boolean	Indicates if a serious adverse event occurred for the patient	false

Use it for

A healthcare dashboard
The serious_adverse_event rate, dosage_mg by trial_completion_status and a breakdown of country. Excel, Power BI or Tableau.
Why do 29 of 200 rows have serious_adverse_event = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Patients200
P001-TRX1235.5completed
P008-CTJ87200.5withdrawn
P009-CTK881000completed
A software demo
Believable patients with trial_id, drug_name and dosage_mg to fill a screen in front of a buyer.

This dataset200 rows19 columns

Yours1,000 rows19 columnscountry: UK only

blueprint · drug-trial-patient-outcomes

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 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

Record patient baseline health
Track outcomes and side effects
Include trial phase information
Exclude incomplete participation

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: drug-trial-patient-outcomes

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?