Clinical Trial Patient Records

This dataset provides comprehensive, subject-level records from simulated clinical trials, including patient demographics, treatment assignments, progress tracking, and outcome measures. It supports robust biostatistical analyses and machine learning applications for clinical research, safety monitoring, and predictive modeling of trial outcomes.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Predictive modeling of patient outcomes in clinical trials

Sample rows

preview · 8 of 203 rows · all 20 columns
patient_idstringoutcome_summarystringprimary_outcome_valuefloatserious_adverse_eventbooleanrace_ethnicitystringtrial_idstringsite_idstringenrollment_datedateageintegersexstringtreatment_groupstringrandomization_datedatebaseline_measurementsstringvisit_numberintegerlast_visit_datedateprogress_statusstringprimary_outcome_datedateadverse_events_reportedintegerwithdrawal_reasonstringdeath_datedate
PT-TRIAL1-001improved2.3falseWhiteTRIAL-2023ASITE-NY-1012022-01-1242femaledrug A2022-01-13BP:120/76, Wt:71kg, Chol:181, LDL:10272022-07-19completed2022-07-191blankblank
P-TR2-CA-21improved1.2falseAsianTRIAL-2023BSITE-CA-2032022-02-0435maledrug B2022-02-05BP:128/80, Wt:65kg, Glu:89, ALT:3662022-08-10completed2022-08-100blankblank
P3-TRIAL1-113unchanged0.7falseBlack/African AmericanTRIAL-2023ASITE-WA-3052022-03-0958femaledrug C2022-03-11BP:132/85, Wt:89kg, HbA1c:6.182022-09-08completed2022-09-082blankblank
PAT-TRIAL3-900worsened-0.2falseNative AmericanTRIAL-2024ASITE-TX-4092022-05-2167maleplacebo2022-05-22BP:145/88, Wt:95kg, eGFR:87102023-01-10completed2023-01-103blankblank
PT-TRIAL4-002improved1.5falseHispanic/LatinoTRIAL-2024BSITE-IL-5122022-06-0131femaledrug B2022-06-03BP:119/76, Wt:62kg, Chol:15962022-12-12completed2022-12-121blankblank
PT-TRIAL2-003improved2.7falseWhiteTRIAL-2023CSITE-FL-6152022-04-0249maledrug A2022-04-04BP:124/82, Wt:77kg, LDL:95, HbA1c:5.792022-11-30completed2022-11-300blankblank
PT-TRIAL3-011improved1.8falseAsianTRIAL-2023BSITE-TX-4192022-06-1536femaledrug C2022-06-16BP:117/75, Wt:54kg, Chol:14572022-12-20completed2022-12-201blankblank
PT-TRIAL5-018unchanged0.9falseOtherTRIAL-2024BSITE-NY-1272023-01-0962maleplacebo2023-01-11BP:137/88, Wt:84kg, Glu:10382023-07-02completed2023-07-022blankblank

What the 203 rows show

from the 203-row sample

Worsened (outcome summary) stands out: 23 of its 25 rows have serious_adverse_event = true, against 10 of 127 for the rest.

  • 17%serious_adverse_event = true
  • 1.6median primary_outcome_value
  • 4sexes
  • 4treatment groups
  • 4progress statuses
  • 25trials
Serious adverse event rate by outcome_summaryserious_adverse_event = true
0%50%100%14%not eval…8 of 580%improved0 of 4592%worsened23 of 258%unchanged2 of 24
primary_outcome_value84 rows, in bands of 1
01530134416232463-415primary_outcome_value →

Median 1.6, from -3.2 to 4.8.

race_ethnicity173 rows with a value · 30 left blank
  1. White53
  2. Asian38
  3. Black/African American22
  4. Other22
  5. Hispanic/Latino18
  6. Native American8
  7. Pacific Islander6
  8. Two or more races2
  9. Native Hawaiian2
  10. Native Hawaiian/Pacific Islander1
20 columns by typefrom the column list below
  • string 10
  • integer 3
  • float 1
  • date 5
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 10 columns
patient_idstringUnique identifier for each clinical trial subjectuniquePT-TRIAL1-001
trial_idstringIdentifier for the clinical trial in which the patient is enrolledTRIAL-2023A
site_idstringIdentifier for the clinical trial site where the patient is enrolledoptionalSITE-NY-101
sexstringBiological sex of the patientmale · female · other · unknownfemale
race_ethnicitystringSelf-reported race or ethnicity of the patient11 ethnicities · optionalWhite
treatment_groupstringAssigned treatment group (e.g., placebo, drug A, drug B)4 groupsdrug A
baseline_measurementsstringKey baseline clinical measurements (e.g., blood pressure, weight, lab values) at enrollmentoptionalBP:132/86, Wt:73.5
progress_statusstringCurrent status of patient in the trial (e.g., ongoing, completed, withdrawn, lost to follow-up)5 valuescompleted
outcome_summarystringText summary or code for the overall outcome (e.g., improved, unchanged, worsened, not evaluable)4 summaries · optionalimproved
withdrawal_reasonstringReason for withdrawal if patient did not complete the trialoptionalExtreme age exclusion
Numbers 4 columns
ageintegerAge of the patient at enrollment (in years)0 to 12042
visit_numberintegerCurrent or last completed visit number in the study protocol1 or more · optional7
primary_outcome_valuefloatMeasured value for the primary outcome (if applicable)optional2.3
adverse_events_reportedintegerNumber of adverse events reported for this patient0 or more · optional1
Dates and times 5 columns
enrollment_datedateDate when the patient was enrolled in the trial2022-01-12
randomization_datedateDate when the patient was randomized to a treatment groupoptional2022-01-13
last_visit_datedateDate of the most recent completed study visitoptional2022-07-19
primary_outcome_datedateDate when the primary outcome was assessedoptional2022-07-19
death_datedateDate of death if applicableoptional2022-08-18
True or false 1 column
serious_adverse_eventbooleanIndicates if the patient experienced any serious adverse event during the trialoptionalfalse

Use it for

  • serious advers…17%34 of 203 rowsserious adverse event…14%not …0%impr…92%wors…8%unch…

    A healthcare dashboard

    The serious_adverse_event rate, primary_outcome_value by outcome_summary and a breakdown of race_ethnicity. Excel, Power BI or Tableau.

  • Why do 34 of 203 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.

  • A software demo

    Believable patients with trial_id, site_id and enrollment_date to fill a screen in front of a buyer.

Not quite right?

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This dataset203 rows20 columns
Yours1,000 rows20 columnssite_id: UK only

blueprint · clinical-trial-patient-records

Behind this dataset

Same schema. As many rows as you need.

These 203 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 record includes treatment assignment and milestones
  • Outcome metrics: efficacy, side effects
  • Randomized group assignment
  • No real patient data
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
clinical-trial-patient-records

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