Pharmaceutical Adverse Event Reports

This dataset provides structured adverse event reports linked to pharmaceutical products and patient outcomes, enabling robust drug safety analysis and regulatory monitoring. It captures detailed patient demographics, drug administration details, event severity, and outcomes, making it ideal for pharmacovigilance, risk assessment, and clinical research.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Drug safety signal detection and risk assessment

Sample rows

preview · 8 of 200 rows · all 18 columns
report_idstringoutcomestringpatient_ageintegerconcomitant_drugsstringreport_datedatepatient_idstringpatient_genderstringdrug_idstringdrug_namestringdrug_dosagestringdrug_routestringadverse_event_termstringadverse_event_severitystringadverse_event_onset_datedatereporter_typestringreporter_countrystringmedical_historystringevent_descriptionstring
REP-0001recovered29blank2024-03-15PAT-1001femaleDRG-2001Amoxicillin500mgoralnauseamild2024-03-14patientUnited KingdomNo significant historyPatient experienced mild nausea shortly after taking the first dose of Amoxicillin. Symptoms resolved without intervention.
REP-0002recovering72Metformin, Aspirin2024-03-18PAT-1002maleDRG-2002Furosemide40mgintravenoushypotensionsevere2024-03-17physicianUnited StatesChronic heart failure, hypertensionPatient developed severe hypotension after intravenous administration of Furosemide. The event required medical intervention and patient is currently recovering.
REP-0003recovered3blank2024-04-01PAT-1003femaleDRG-2003Paracetamol120mgoralrashmoderate2024-03-31physicianIndiaNewborn, no prior historyA moderate cutaneous rash developed in the child following oral administration of Paracetamol. Symptoms improved after discontinuation of the drug.
REP-0004recovered44blank2024-03-10PAT-1004maleDRG-2004Metformin500mgoraldiarrheamild2024-03-09patientFranceType 2 diabetesPatient reported mild diarrhea after beginning Metformin therapy. No intervention was required and symptoms resolved naturally.
REP-0005not recovered81Amlodipine2024-03-20PAT-1005femaleDRG-2005Warfarin2mgoralbleedingsevere2024-03-18physicianGermanyAtrial fibrillation, hypertensionSevere gastrointestinal bleeding developed two days after starting Warfarin. Patient remains hospitalized for further management.
REP-0006recovered22blank2024-02-26PAT-1006femaleDRG-2006Ibuprofen400mgoralheadachemild2024-02-26patientCanadaNo prior historyMild headache was noted after taking Ibuprofen for menstrual pain. The symptom resolved spontaneously.
REP-0007recovered7blank2024-03-29PAT-1007maleDRG-2007Cefalexin250mgoralvomitingmoderate2024-03-28physicianJapanAsthmaChild experienced moderate vomiting after receiving Cefalexin. The event resolved after cessation of the drug.
REP-0008recovering56Metformin2024-04-03PAT-1008femaleDRG-2008Lisinoprilblankoraldizzinessmoderate2024-04-02pharmacistMexicoHypertension, diabetesPatient experienced moderate dizziness after starting Lisinopril. The symptoms are gradually improving with dose adjustment.

What the 200 rows show

from the 200-row sample

Recovered outcome stands out: mean patient_age is 26.5, against 60.9 for the rest.

  • 47.5median patient_age
  • 4patient genders
  • 4reporter types
  • 5drug routes
  • 5adverse event severities
  • 44drug dosages
Mean patient_age by outcome200 rows
05010026.5recove…89 rows56.7recove…73 rows69.8not re…28 rows82.2fatal6 rows44.5unknown4 rows
patient_age200 rows, in bands of 10
020402514182127233125151050100patient_age →

Median 47.5, from 0 to 91.

concomitant_drugs85 rows with a value · 115 left blank
  1. Metformin18
  2. Aspirin11
  3. Amlodipine9
  4. Metformin, Aspirin8
  5. Ramipril3
  6. Atorvastatin, Clopidogrel2
  7. Diazepam2
  8. Aspirin, Metoprolol2
  9. Aspirin, Furosemide2
  10. Glimepiride2
18 columns by typefrom the column list below
  • string 15
  • integer 1
  • date 2

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 15 columns
report_idstringUnique identifier for the adverse event reportuniqueREP-0001
patient_idstringUnique identifier for the patient involved in the adverse eventPAT-1001
patient_genderstringGender of the patientmale · female · other · unknownfemale
drug_idstringUnique identifier for the pharmaceutical productDRG-2001
drug_namestringCommercial or generic name of the drugAmoxicillin
drug_dosagestringDosage of the drug administered (e.g., '500mg', '2 tablets')optional500mg
drug_routestringRoute of administration for the drug (e.g., oral, intravenous)6 values · optionaloral
adverse_event_termstringStandardized term describing the adverse event (e.g., 'nausea', 'rash')nausea
adverse_event_severitystringSeverity of the adverse eventmild · moderate · severe · fatal · unknownmild
outcomestringPatient outcome after the adverse eventrecovered · recovering · not recovered · fatal · unknownrecovered
reporter_typestringType of person reporting the event (e.g., physician, pharmacist, patient)physician · pharmacist · patient · other · optionalpatient
reporter_countrystringCountry where the report was submittedoptionalUnited Kingdom
concomitant_drugsstringComma-separated list of other drugs the patient was taking at the timeoptionalMetformin, Aspirin
medical_historystringRelevant medical history of the patientoptionalNo significant history
event_descriptionstringDetailed narrative description of the adverse eventoptionalPatient experienced mild …
Numbers 1 column
patient_ageintegerAge of the patient at the time of the adverse event0 to 12029
Dates and times 2 columns
report_datedateDate when the adverse event was reported2024-03-15
adverse_event_onset_datedateDate when the adverse event beganoptional2024-03-14

Use it for

  • median patient…47.5200 rowsmean patient age by o…26.5reco…56.7reco…69.8not …82.2fatal

    A healthcare dashboard

    Patient_age by outcome and a breakdown of concomitant_drugs. Excel, Power BI or Tableau.

  • Why do the 89 recovered rows have a mean patient_age of 26.5?

    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 reports with report_date, patient_id and patient_age to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows18 columns
Yours1,000 rows18 columnsreporter_country: UK only

blueprint · pharmaceutical-adverse-event-reports

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 18 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
  • Log event type and severity
  • Include drug name and dosage
  • Record patient demographics
  • Flag serious adverse reactions
  • Aggregate by product type
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
pharmaceutical-adverse-event-reports

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