Healthcare
21 columns
200 rows
8 formats

Hospital Emergency Visit Records

This dataset provides detailed, de-identified records of emergency department visits, including patient demographics, triage assessments, vital signs, diagnoses, procedures, and outcomes. It enables robust analysis of triage algorithms, patient flow, and clinical outcomes, supporting research and quality improvement in emergency medicine.

opened 7 times
last updated 22 Jul 2025
by GoMask

The brief that made it

Development and validation of emergency department triage algorithms

Sample rows

preview · 8 of 200 rows · all 21 columns

visit_idstring	dispositionstring	length_of_stay_minutesinteger	vital_signs_recordedboolean	procedure_codestring	patient_idstring	visit_datetimedatetime	ageinteger	sexstring	triage_levelstring	chief_complaintstring	heart_rateinteger	blood_pressure_systolicinteger	blood_pressure_diastolicinteger	respiratory_rateinteger	temperature_celsiusfloat	oxygen_saturationfloat	diagnosis_code_primarystring	diagnosis_code_secondarystring	disposition_datetimedatetime	hospital_idstring
EDV00001	discharged	155	true	blank	PAT10001	2024-01-04T07:43:12Z	4	female	3	Fever and rash for two days	132	84	48	31	38.2	97.5	B08.4	blank	2024-01-04T10:18:12Z	HSP001
EDV00002	admitted	182	true	92950	PAT10002	2024-01-13T18:32:45Z	68	male	2	Chest pain radiating to left arm	96	132	83	23	36.8	91.1	I20.9	R07.2	2024-01-13T21:34:45Z	HSP002
EDV00003	discharged	70	true	blank	PAT10003	2024-01-12T22:15:10Z	33	other	4	Mild abdominal pain after dinner	77	112	72	15	37.1	98.2	R10.9	blank	2024-01-12T23:25:10Z	HSP003
EDV00004	admitted	240	true	blank	PAT10004	2024-01-02T05:08:44Z	2	male	3	Cough and wheezing	146	76	52	36	37.7	95.3	J21.9	blank	2024-01-02T09:08:44Z	HSP001
EDV00005	admitted	197	true	31500	PAT10005	2024-01-10T14:59:32Z	57	female	2	Difficulty breathing and dizziness	103	107	60	27	36.3	88.7	J44.1	R42	2024-01-10T18:16:32Z	HSP004
EDV00006	deceased	50	true	92950	PAT10006	2024-01-14T01:12:03Z	88	female	1	Unresponsive, found at home	41	58	32	9	33.2	68.4	R40.20	I95.9	2024-01-14T02:02:03Z	HSP003
EDV00007	discharged	21	false	blank	PAT10007	2024-01-08T11:17:51Z	27	male	5	Medication refill request	blank	blank	blank	blank	blank	blank	Z76.0	blank	2024-01-08T11:38:51Z	HSP002
EDV00008	discharged	65	true	blank	PAT10008	2024-01-03T16:13:17Z	44	female	4	Migraine headache	81	116	68	14	36.7	99	G43.9	blank	2024-01-03T17:18:17Z	HSP005
EDV00009	admitted	180	true	blank	PAT10009	2024-01-06T20:25:42Z	6	female	3	Vomiting and abdominal pain	124	90	56	29	37.9	96.8	K52.9	blank	2024-01-06T23:25:42Z	HSP001
EDV00010	discharged	20	false	blank	PAT10010	2024-01-09T02:38:34Z	36	female	5	Insect bite, no swelling	blank	blank	blank	blank	blank	blank	T63.4	blank	2024-01-09T02:58:34Z	HSP005
EDV00011	admitted	182	true	70450	PAT10011	2024-01-15T19:47:29Z	79	male	2	Sudden confusion and slurred speech	87	144	82	19	36.1	94.2	I63.9	blank	2024-01-15T22:49:29Z	HSP006
EDV00012	discharged	65	true	29515	PAT10012	2024-01-18T13:13:58Z	24	female	3	Sprained ankle after fall	79	113	74	15	36.5	99.1	S93.4	blank	2024-01-18T14:18:58Z	HSP007
EDV00013	deceased	30	true	94002	PAT10013	2024-01-07T03:03:16Z	91	female	1	Severe shortness of breath	61	71	34	29	35.7	47	J96.00	I50.9	2024-01-07T03:33:16Z	HSP008
EDV00014	discharged	20	false	blank	PAT10014	2024-01-17T17:29:55Z	29	unknown	unknown	No complaint documented	blank	blank	blank	blank	blank	blank	Z00.0	blank	2024-01-17T17:49:55Z	HSP004
EDV00015	discharged	70	true	97110	PAT10015	2024-01-07T09:15:56Z	38	male	3	Back pain after lifting heavy object	84	120	77	16	36.4	98.7	M54.5	blank	2024-01-07T10:25:56Z	HSP002
EDV00016	discharged	120	true	blank	PAT10016	2024-01-11T21:06:40Z	5	female	3	Ear pain and fever	124	90	56	29	38.6	97.1	H66.9	J02.9	2024-01-11T23:06:40Z	HSP009
EDV00017	discharged	85	true	blank	PAT10017	2024-01-05T15:32:19Z	51	male	4	Minor head trauma, alert	83	115	71	15	36.5	98.3	S06.0	blank	2024-01-05T16:57:19Z	HSP006
EDV00018	deceased	10	true	92950	PAT10018	2024-01-20T06:51:24Z	120	female	1	Cardiac arrest at nursing home	0	50	20	0	25	41	I46.9	blank	2024-01-20T07:01:24Z	HSP003
EDV00019	admitted	120	true	blank	PAT10019	2024-01-19T23:41:37Z	61	male	2	Weakness and near syncope	58	98	54	17	36.9	93.5	R53.1	blank	2024-01-20T01:41:37Z	HSP001
EDV00020	admitted	120	false	blank	PAT10020	2024-01-11T16:04:23Z	35	unknown	unknown	Altered mental status, unclear history	blank	blank	blank	blank	blank	blank	R41.82	blank	2024-01-11T18:04:23Z	HSP010

What the 200 rows show

from the 200-row sample

Admitted disposition stands out: mean length_of_stay_minutes is 229.6, against 85.5 for the rest.

86%vital_signs_recorded = true
112.5median length_of_stay_minutes
4sexes
6triage levels
32hospitals
40.5median age

Mean length_of_stay_minutes by disposition200 rows

length_of_stay_minutes200 rows, in bands of 50

Median 112.5, from 10 to 480.

procedure_code81 rows with a value · 119 left blank

9295013
940026
120016
315005
291255
371875
963655
295154
992913
704502

21 columns by typefrom the column list below

string 10
integer 6
float 2
datetime 2
boolean 1

Columns

21 columns in four groups

blueprint · 21 columns
column	type	description	example
Text 10 columns
`visit_id`	string	Unique identifier for each emergency department visit.unique	EDV00001
`patient_id`	string	Unique identifier for the patient (de-identified).	PAT10001
`sex`	string	Sex of the patient.male · female · other · unknown	female
`triage_level`	string	Triage level assigned at arrival (e.g., Emergency Severity Index or local scale).6 values	3
`chief_complaint`	string	Primary reason for the emergency visit as reported by the patient.	Cough and wheezing
`diagnosis_code_primary`	string	Primary diagnosis code assigned (e.g., ICD-10).	B08.4
`diagnosis_code_secondary`	string	Secondary diagnosis code, if applicable.optional	R07.2
`procedure_code`	string	Procedure code for major interventions performed during the visit.optional	92950
`disposition`	string	Outcome of the visit (e.g., admitted, discharged, transferred, deceased, left against medical advice).6 values	discharged
`hospital_id`	string	Identifier for the hospital or emergency department location.	HSP001
Numbers 8 columns
`age`	integer	Age of the patient at the time of visit (in years).0 to 120	4
`heart_rate`	integer	Heart rate measured at triage (beats per minute).0 to 300 · optional	132
`blood_pressure_systolic`	integer	Systolic blood pressure measured at triage (mmHg).40 to 300 · optional	84
`blood_pressure_diastolic`	integer	Diastolic blood pressure measured at triage (mmHg).20 to 200 · optional	48
`respiratory_rate`	integer	Respiratory rate measured at triage (breaths per minute).0 to 100 · optional	31
`temperature_celsius`	float	Body temperature measured at triage (Celsius).25 to 45 · optional	38.2
`oxygen_saturation`	float	Oxygen saturation measured at triage (%).0 to 100 · optional	97.5
`length_of_stay_minutes`	integer	Total length of stay in the emergency department (in minutes).0 or more · optional	155
Dates and times 2 columns
`visit_datetime`	datetime	Date and time when the patient arrived at the emergency department.	2024-01-04T07:43:12Z
`disposition_datetime`	datetime	Date and time of patient disposition from the emergency department.optional	2024-01-04T10:18:12Z
True or false 1 column
`vital_signs_recorded`	boolean	Indicates whether vital signs were recorded at triage.	true

Use it for

A healthcare dashboard
The vital_signs_recorded rate, length_of_stay_minutes by disposition and a breakdown of procedure_code. Excel, Power BI or Tableau.
Why do the 59 admitted rows have a mean length_of_stay_minutes of 229.6?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Visits200
EDV00001155discharg…
EDV00002182admitted
EDV0000721discharg…
A software demo
Believable visits with patient_id, visit_datetime and age to fill a screen in front of a buyer.

This dataset200 rows21 columns

Yours1,000 rows21 columns

blueprint · hospital-emergency-visit-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 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 logs visit, timestamp, and chief complaint.
Diagnosis, treatment, and outcome fields included.
Severity score assigned at triage.
Patient demographics anonymized.

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: hospital-emergency-visit-records

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?