Medication Side Effect Reports
This dataset contains detailed, patient-reported side effect events linked to prescribed medications, including patient demographics, medication details, side effect characteristics, and outcomes. It is designed for pharmacovigilance, drug safety monitoring, and adverse event analysis, supporting healthcare providers and researchers in identifying medication risks and trends.
Sample rows
preview · 8 of 85 rows · all 19 columns| report_idstring | outcomestring | side_effect_duration_daysinteger | medical_historystring | patient_idstring | patient_ageinteger | patient_genderstring | report_datedate | medication_idstring | medication_namestring | medication_dosagestring | medication_routestring | side_effect_codestring | side_effect_descriptionstring | side_effect_severitystring | side_effect_onset_datedate | concomitant_medicationsstring | reporter_typestring | countrystring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RPT0001 | recovered | 3 | hypertension, diabetes | PAT1001 | 48 | female | 2023-11-28 | MED-034 | Atorvastatin | 20mg | oral | 10013993 | Muscle pain | mild | 2023-11-25 | Metformin | patient | Canada |
| RPT0002 | recovered | 2 | type 2 diabetes | PAT1002 | 62 | male | 2023-12-15 | MED-008 | Metformin | 500mg | oral | 10028813 | Nausea | moderate | 2023-12-14 | Lisinopril | patient | United States |
| RPT0003 | recovering | 5 | depression | PAT1003 | 34 | female | 2024-01-09 | MED-010 | Sertraline | 50mg | oral | 10018332 | Sleep disturbance | mild | 2024-01-07 | blank | patient | United Kingdom |
| RPT0004 | recovering | 7 | atrial fibrillation | PAT1004 | 73 | male | 2023-10-11 | MED-024 | Warfarin | 2mg | oral | 10015261 | Bruising | moderate | 2023-10-09 | blank | healthcare professional | Australia |
| RPT0005 | recovered | 1 | asthma | PAT1005 | 27 | other | 2023-08-18 | MED-018 | Albuterol | 2 puffs | inhalation | 10020611 | Tremor | mild | 2023-08-18 | blank | patient | United States |
| RPT0006 | recovered | 2 | blank | PAT1006 | 41 | female | 2024-02-04 | MED-014 | Amoxicillin | 500mg | oral | 10019211 | Rash | moderate | 2024-02-03 | blank | patient | Ireland |
| RPT0007 | recovered | 1 | GERD | PAT1007 | 54 | male | 2024-01-21 | MED-006 | Omeprazole | 20mg | oral | 10015033 | Headache | mild | 2024-01-20 | Metformin | patient | United States |
| RPT0008 | recovered | 2 | hypothyroidism | PAT1008 | 30 | female | 2023-09-10 | MED-012 | Levothyroxine | 75mcg | oral | 10012865 | Dizziness | mild | 2023-09-09 | blank | patient | Canada |
| RPT0009 | not recovered | 10 | hypertension | PAT1009 | 66 | male | 2023-12-31 | MED-002 | Amlodipine | 5mg | oral | 10018395 | Swelling of ankles | moderate | 2023-12-29 | Simvastatin | patient | United States |
| RPT0010 | not recovered | 7 | acne | PAT1010 | 21 | female | 2023-07-25 | MED-021 | Isotretinoin | 10mg | oral | 10036917 | Dry lips | mild | 2023-07-23 | blank | patient | United Kingdom |
| RPT0011 | recovered | 2 | blank | PAT1011 | 36 | male | 2023-11-17 | MED-007 | Simvastatin | 40mg | oral | 10018123 | Stomach pain | mild | 2023-11-17 | blank | patient | United States |
| RPT0012 | recovered | 3 | type 2 diabetes | PAT1002 | 62 | male | 2023-12-19 | MED-008 | Metformin | 500mg | oral | 10020772 | Diarrhea | moderate | 2023-12-18 | blank | patient | United States |
| RPT0013 | recovering | 6 | blank | PAT1012 | 53 | unknown | 2023-11-02 | MED-022 | Enoxaparin | 40mg | subcutaneous | 10019211 | Bruising at injection site | mild | 2023-11-01 | blank | healthcare professional | Germany |
| RPT0014 | recovered | 1 | blank | PAT1013 | 39 | female | 2023-09-23 | MED-017 | Ibuprofen | 400mg | oral | blank | Upset stomach | mild | 2023-09-22 | blank | patient | France |
| RPT0015 | not recovered | 4 | hypertension | PAT1014 | 45 | male | 2024-01-15 | MED-016 | Lisinopril | 10mg | oral | 10047275 | Dry cough | moderate | 2024-01-13 | Metformin | patient | United States |
| RPT0016 | recovered | 2 | rheumatoid arthritis | PAT1015 | 50 | female | 2023-10-04 | MED-020 | Prednisone | 5mg | oral | blank | Insomnia | moderate | 2023-10-03 | blank | patient | United States |
| RPT0017 | recovered | 1 | type 2 diabetes | PAT1016 | 59 | male | 2023-10-26 | MED-023 | Insulin glargine | 20 units | subcutaneous | 10034673 | Hypoglycemia | severe | 2023-10-25 | Metformin | patient | United States |
| RPT0018 | recovered | 3 | thyroid disorder | PAT1017 | 61 | female | 2023-12-07 | MED-011 | Levothyroxine | 100mcg | oral | 10012865 | Palpitations | moderate | 2023-12-06 | blank | patient | United States |
| RPT0019 | recovered | 2 | anxiety | PAT1018 | 28 | male | 2024-01-12 | MED-009 | Sertraline | 100mg | oral | 10013993 | Nausea | moderate | 2024-01-12 | blank | patient | Canada |
| RPT0020 | recovered | 2 | hypertension | PAT1019 | 57 | female | 2023-11-13 | MED-001 | Amlodipine | 10mg | oral | blank | Swelling of feet | mild | 2023-11-12 | blank | patient | Australia |
What the 85 rows show
from the 85-row sampleNot recovered outcome stands out: mean side_
- 2median side_
effect_ duration_ days - 3medication routes
- 3side effect severities
- 4patient genders
- 4reporter types
- 47median patient_
age
Median 2, from 0 to 11.
- string 15
- integer 2
- date 2
Columns
19 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 15 columns | |||
report_id | string | Unique identifier for each side effect report.unique | RPT0001 |
patient_id | string | Unique identifier for the patient submitting the report (de-identified). | PAT1001 |
patient_gender | string | Gender of the patient.male · female · other · unknown | female |
medication_id | string | Unique identifier for the prescribed medication. | MED-034 |
medication_name | string | Brand or generic name of the medication. | Atorvastatin |
medication_dosage | string | Dosage of the medication as prescribed (e.g., '10mg', '1 tablet').optional | 20mg |
medication_route | string | Route of administration (e.g., oral, intravenous, topical).7 values · optional | oral |
side_effect_code | string | Standardized code for the reported side effect (e.g., MedDRA code).optional | 10013993 |
side_effect_description | string | Description of the side effect experienced by the patient. | Muscle pain |
side_effect_severity | string | Severity of the side effect as reported by the patient.mild · moderate · severe · life-threatening · unknown · optional | mild |
outcome | string | Outcome of the side effect (e.g., recovered, ongoing, fatal, unknown).recovered · recovering · not recovered · fatal · unknown · optional | recovered |
concomitant_medications | string | Comma-separated list of other medications the patient was taking at the time.12 medicationses · optional | Metformin |
medical_history | string | Relevant medical history or comorbidities reported by the patient.optional | hypertension, diabetes |
reporter_type | string | Type of reporter (e.g., patient, caregiver, healthcare professional).patient · caregiver · healthcare professional · other | patient |
country | string | Country where the report was submitted.optional | Canada |
| Numbers 2 columns | |||
patient_age | integer | Age of the patient at the time of the report.0 to 120 | 48 |
side_effect_duration_days | integer | Number of days the side effect lasted (if resolved).0 or more · optional | 3 |
| Dates and times 2 columns | |||
report_date | date | Date the side effect was reported. | 2023-11-28 |
side_effect_onset_date | date | Date when the side effect began.optional | 2023-11-25 |
Use it for
A healthcare dashboard
Side_
effect_ duration_ days by outcome and a breakdown of medical_ history. Excel, Power BI or Tableau. Why do the 15 not recovered rows have a mean side_
effect_ duration_ days of 6.1? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Reports85RPT00013recoveredRPT00022recoveredRPT00035recoveri…
A software demo
Believable reports with patient_
id, patient_ age and patient_ gender to fill a screen in front of a buyer.
blueprint · medication-side-effect-reports
Behind this dataset
Same schema. As many rows as you need.
These 85 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.
- Log each side effect per patient
- Record medication and dosage
- Flag severe side effects
- Link side effects to prescription date
- Report incidents to safety committee
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
- medication-side-effect-reports