Healthcare
15 columns
110 rows
8 formats

Vital Signs and Flowsheet Data

This dataset provides comprehensive, time-stamped vital sign and flowsheet measurements for individual patients, including blood pressure, heart rate, temperature, respiratory rate, oxygen saturation, pain scale, height, weight, and BMI. Designed for clinical trending, alerting, and patient monitoring, it enables robust analysis for healthcare providers, researchers, and system integrators.

opened 7 times
last updated 2 Nov 2025
by GoMask

The brief that made it

Real-time patient monitoring and alerting in hospital settings

Sample rows

preview · 8 of 110 rows · all 15 columns

measurement_idstring	respiratory_rateinteger	alert_flagboolean	patient_idstring	measurement_datetimedatetime	blood_pressure_systolicinteger	blood_pressure_diastolicinteger	heart_rateinteger	temperaturefloat	oxygen_saturationfloat	pain_scaleinteger	height_cmfloat	weight_kgfloat	bmifloat	notesstring
M001	17	false	P1001	2024-06-04T08:17:32Z	124	78	72	36.7	98.2	1	174.2	69.8	22.99	Routine checkup for healthy adult patient, no complaints reported.
M002	16	false	P1002	2024-06-04T09:03:11Z	117	75	68	36.5	99	0	180.1	80.4	24.78	Physical exam, all vitals within normal range, patient feeling well.
M003	15	false	P1003	2024-06-04T10:15:47Z	115	74	72	36.6	97.6	2	166.8	62.3	22.43	Healthy adult, routine annual evaluation, no issues reported.
M004	19	false	P1004	2024-06-04T11:00:10Z	129	82	85	37.2	96.7	3	164.5	79.2	29.29	Physical exam for middle-aged patient with mild joint discomfort.
M005	21	false	P1005	2024-06-04T12:30:55Z	135	88	89	37.1	96.5	4	172	90.8	30.72	Routine monitoring for overweight adult, mild hypertension observed.
M006	22	true	P1006	2024-06-04T13:42:34Z	149	95	94	37.3	94.8	5	159.6	83.6	32.82	Hypertensive adult patient, chronic pain and high blood pressure.
M007	20	true	P1007	2024-06-04T14:15:26Z	153	99	97	37.4	93.2	6	170.9	105.3	36.02	Patient with diabetes, obesity, and hypertension, scheduled for follow-up.
M008	17	false	P1008	2024-06-04T15:36:41Z	142	92	88	36.9	95.1	4	177.3	97.7	31.07	Routine monitoring for hypertension, patient reports mild headache.
M009	23	true	P1009	2024-06-04T16:22:05Z	158	101	101	37.6	93.7	7	163	89.4	33.65	Chronic pain patient presenting with hypertensive crisis, immediate intervention required.
M010	31	true	P1010	2024-06-04T17:40:18Z	166	104	120	38.8	88.4	8	184.6	122.2	35.83	Emergency admission for cardiac crisis, multi-organ distress suspected.
M011	12	false	P1011	2024-06-04T18:12:37Z	105	65	61	36.3	97.9	0	169.5	58.5	20.41	Healthy adult, low blood pressure, no symptoms reported.
M012	18	false	P1012	2024-06-04T19:03:56Z	128	80	77	36.8	98.8	2	181.7	83.4	25.22	Routine physical examination, patient in good health.
M013	14	false	P1013	2024-06-04T20:11:12Z	118	76	73	36.6	98.4	1	175	68.2	22.27	Routine checkup, all vital signs normal, patient feels well.
M014	16	false	P1014	2024-06-04T21:22:29Z	132	84	79	37	97.5	2	165.8	65.9	24.02	Middle-aged adult patient, normal vitals, routine evaluation.
M015	20	true	P1015	2024-06-04T22:06:43Z	147	93	86	37.3	95	5	178.4	107.6	33.87	Patient with chronic hypertension and pain, under regular observation.
M016	28	true	P1016	2024-06-04T23:55:52Z	160	102	102	38.3	90.7	9	185.9	132.3	38.26	Severe acute pain, hypertension, and fever, possible sepsis, ICU admission.
M017	13	false	P1017	2024-06-05T01:11:10Z	114	73	70	36.4	97.8	1	171.7	61.2	20.73	Healthy adult, routine assessment after travel.
M018	15	false	P1018	2024-06-05T02:34:00Z	121	79	75	36.9	98.6	0	168.3	64.1	22.63	Annual physical, adult patient, no complaints noted.
M019	19	false	P1019	2024-06-05T03:20:17Z	133	83	80	37	97.2	2	176.2	77.7	25.02	Routine follow-up, mild headache reported.
M020	12	false	P1020	2024-06-05T04:35:55Z	109	70	63	36.2	98.1	1	162.4	53.7	20.38	Healthy adult, routine wellness check, vitals normal.

What the 110 rows show

from the 110-row sample

45%alert_flag = true
18.5median respiratory_rate
123.5median blood_pressure_systolic
79median blood_pressure_diastolic
86median heart_rate
37.1median temperature

respiratory_rate110 rows, in bands of 10

Median 18.5, from 5 to 60.

15 columns by typefrom the column list below

string 3
integer 5
float 5
datetime 1
boolean 1

Columns

15 columns in four groups

blueprint · 15 columns
column	type	description	example
Text 3 columns
`measurement_id`	string	Unique identifier for each vital sign measurement recordunique	M001
`patient_id`	string	Unique identifier for the patient	P1001
`notes`	string	Additional notes or comments about the measurementoptional	Routine checkup for healt…
Numbers 10 columns
`blood_pressure_systolic`	integer	Systolic blood pressure value (mmHg)40 to 300 · optional	124
`blood_pressure_diastolic`	integer	Diastolic blood pressure value (mmHg)20 to 200 · optional	78
`heart_rate`	integer	Heart rate in beats per minute (bpm)20 to 250 · optional	72
`temperature`	float	Body temperature in degrees Celsius30 to 45 · optional	36.7
`respiratory_rate`	integer	Respiratory rate in breaths per minute5 to 60 · optional	17
`oxygen_saturation`	float	Oxygen saturation percentage (SpO2)0 to 100 · optional	98.2
`pain_scale`	integer	Pain scale rating (typically 0-10)0 to 10 · optional	1
`height_cm`	float	Patient height in centimeters30 to 250 · optional	174.2
`weight_kg`	float	Patient weight in kilograms2 to 300 · optional	69.8
`bmi`	float	Body Mass Index (BMI) calculated from height and weight10 to 80 · optional	22.99
Dates and times 1 column
`measurement_datetime`	datetime	Date and time when the vital sign measurement was taken	2024-06-04T08:17:32Z
True or false 1 column
`alert_flag`	boolean	Indicates if this measurement triggered an alert (true/false)optional	false

Use it for

A healthcare dashboard
The alert_flag rate and respiratory_rate. Excel, Power BI or Tableau.
Why do 50 of 110 rows have alert_flag = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 110 rows.
Measurements110
M00117false
M00622true
M00720true
A software demo
Believable measurements with patient_id, measurement_datetime and blood_pressure_systolic to fill a screen in front of a buyer.

This dataset110 rows15 columns

Yours1,000 rows15 columns

blueprint · vital-signs-and-flowsheet-data

Behind this dataset

Same schema. As many rows as you need.

These 110 rows came out of a blueprint — 15 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

Measurement ID unique per vital sign set
Timestamp for each measurement
Blood pressure: systolic and diastolic (mmHg)
Heart rate (beats per minute)
Temperature (Celsius or Fahrenheit) with method (oral, axillary, rectal)
Respiratory rate (breaths per minute)
Oxygen saturation (SpO2 percentage) with oxygen delivery
Pain scale: 0-10 numeric or Wong-Baker faces

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: vital-signs-and-flowsheet-data

What should your data show?

No signup. No card.

Sample rows

What the 110 rows show

Columns

Use it for

A healthcare dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?