Healthcare
12 columns
100 rows
8 formats

Allergy and Adverse Reaction List

This dataset provides detailed records of patient allergies and adverse reactions, including allergen details, reaction types, severity, verification status, and clinical decision support flags for medication safety. It enables healthcare providers to track, analyze, and respond to allergy risks, improving patient safety and supporting automated prescribing alerts.

last updated 2 Nov 2025
by GoMask

The brief that made it

Clinical decision support for safe medication prescribing

Sample rows

preview · 8 of 100 rows · all 12 columns

record_idstring	allergen_typestring	clinical_decision_support_flagboolean	reaction_typestring	patient_idstring	allergen_namestring	reaction_severitystring	onset_datedate	verification_statusstring	cds_alert_typestring	notesstring	last_updateddatetime
AR-0001	drug	true	rash	P-1001	Penicillin	moderate	2023-10-12	confirmed	prescribing alert	Patient developed a widespread rash after administration.	2024-05-21T14:22:30
AR-0002	food	true	anaphylaxis	P-1002	Peanuts	life-threatening	2017-07-04	confirmed	interaction warning	Severe reaction requiring epinephrine.	2024-06-01T09:15:12
AR-0003	environmental	false	urticaria	P-1003	Latex	mild	2022-11-19	suspected	blank	Patient reports itching after exposure.	2024-05-30T16:45:11
AR-0004	drug	true	nausea	P-1004	Sulfa drugs	moderate	2021-03-28	unconfirmed	prescribing alert	Nausea occurred within 2 hours of intake.	2024-05-24T08:30:22
AR-0005	food	false	abdominal pain	P-1005	Gluten	mild	2020-08-15	suspected	blank	Symptoms resolve after gluten avoidance.	2024-06-03T12:11:09
AR-0006	environmental	false	runny nose	P-1006	Tree pollen	mild	2019-04-10	confirmed	blank	Seasonal rhinitis observed in spring.	2024-05-29T10:10:10
AR-0007	drug	true	shortness of breath	P-1007	Morphine	severe	2024-02-14	confirmed	prescribing alert	Respiratory distress observed post administration.	2024-06-04T08:45:00
AR-0008	food	false	hives	P-1008	Eggs	moderate	2015-09-23	confirmed	blank	Reaction confirmed via skin prick test.	2024-05-28T18:30:55
AR-0009	drug	true	diarrhea	P-1009	Amoxicillin	mild	2023-01-05	suspected	prescribing alert	GI upset after course of amoxicillin.	2024-06-02T20:05:11
AR-0010	food	true	anaphylaxis	P-1010	Shellfish	life-threatening	2018-06-17	confirmed	interaction warning	History of emergency treatment for reaction.	2024-05-22T15:10:20
AR-0011	environmental	false	swelling	P-1011	Bee venom	severe	2022-07-01	suspected	blank	Extensive local swelling after sting.	2024-06-03T07:59:41
AR-0012	drug	false	rash	P-1012	Ibuprofen	mild	2023-11-11	refuted	blank	No reaction upon re-challenge.	2024-05-26T21:10:34
AR-0013	food	false	abdominal pain	P-1013	Milk	moderate	2021-10-10	suspected	blank	Lactose intolerance suspected.	2024-06-04T13:05:55
AR-0014	environmental	false	cough	P-1014	Dust mites	mild	2016-02-13	confirmed	blank	Chronic cough worsens at home.	2024-06-04T09:30:43
AR-0015	drug	true	vomiting	P-1015	Codeine	severe	2022-05-20	confirmed	prescribing alert	Vomiting within 30 minutes of administration.	2024-05-25T12:49:37
AR-0016	food	false	hives	P-1016	Soy	moderate	2020-12-01	suspected	blank	Patient avoids products with soy.	2024-05-28T15:06:30
AR-0017	environmental	false	asthma	P-1017	Cat dander	severe	2019-09-14	confirmed	blank	Asthma exacerbation after exposure.	2024-05-31T17:54:23
AR-0018	drug	true	red man syndrome	P-1018	Vancomycin	moderate	2023-06-18	confirmed	prescribing alert	Infusion-related reaction.	2024-06-04T11:22:52
AR-0019	food	false	rash	P-1019	Strawberries	mild	2021-05-28	suspected	blank	Patient avoids all berry products.	2024-05-23T19:41:19
AR-0020	environmental	false	contact dermatitis	P-1020	Nickel	moderate	2018-03-22	confirmed	blank	Dermatitis at site of jewelry contact.	2024-06-01T18:20:24

What the 100 rows show

from the 100-row sample

Drug (allergen type) stands out: 32 of its 34 rows have clinical_decision_support_flag = true, against 4 of 66 for the rest.

36%clinical_decision_support_flag = true
2cds alert types
4reaction severities
4verification statuses

Clinical decision support flag rate by allergen_typeclinical_decision_support_flag = true

reaction_type100 rows · top 10 of 21 values

rash16
nausea9
hives7
swelling7
vomiting6
itching6
abdominal pain5
cough5
contact dermatitis5
sneezing5

12 columns by typefrom the column list below

string 9
date 1
datetime 1
boolean 1

Columns

12 columns in three groups

blueprint · 12 columns
column	type	description	example
Text 9 columns
`record_id`	string	Unique identifier for each allergy/adverse reaction recordunique	AR-0001
`patient_id`	string	Unique identifier for the patient	P-1001
`allergen_name`	string	Name of the substance causing the allergy or adverse reaction	Penicillin
`allergen_type`	string	Type of allergen (e.g., drug, food, environmental)drug · food · environmental · other	drug
`reaction_type`	string	Type of reaction experienced (e.g., rash, anaphylaxis, nausea)	rash
`reaction_severity`	string	Severity of the reactionmild · moderate · severe · life-threatening	moderate
`verification_status`	string	Status indicating whether the allergy/adverse reaction has been clinically verifiedconfirmed · unconfirmed · suspected · refuted	confirmed
`cds_alert_type`	string	Type of clinical decision support alert triggered (e.g., prescribing alert, interaction warning)2 types · optional	prescribing alert
`notes`	string	Additional notes or comments about the allergy or adverse reactionoptional	Symptoms seasonal.
Dates and times 2 columns
`onset_date`	date	Date when the reaction or allergy was first observedoptional	2023-10-12
`last_updated`	datetime	Timestamp of the last update to this record	2024-05-21T14:22:30
True or false 1 column
`clinical_decision_support_flag`	boolean	Indicates if this record triggers clinical decision support alerts for medication safety	true

Use it for

A healthcare dashboard
The clinical_decision_support_flag rate, clinical_decision_support_flag by allergen_type and a breakdown of reaction_type. Excel, Power BI or Tableau.
Why do 36 of 100 rows have clinical_decision_support_flag = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Records100
AR-0001drug
AR-0002food
AR-0003environm…
A software demo
Believable records with patient_id, allergen_name and allergen_type to fill a screen in front of a buyer.

This dataset100 rows12 columns

Yours1,000 rows12 columns

blueprint · allergy-and-adverse-reaction-list

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 12 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

Allergy ID unique per allergy
Allergen: medication (with RxNorm code), food, environmental
Reaction type: rash, anaphylaxis, GI upset, shortness of breath, etc.
Severity: mild, moderate, severe, life-threatening
Onset date if known
Verification status: confirmed, suspected, refuted
No known allergies (NKA) documented if applicable
Drug class alerts for cross-reactivity

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: allergy-and-adverse-reaction-list

What should your data show?

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Sample rows

What the 100 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?