Healthcare
14 columns
200 rows
8 formats

Remote Patient Monitoring Readings

This dataset provides granular, time-stamped physiological readings from remote patient monitoring devices, including heart rate, blood pressure, respiratory rate, temperature, oxygen saturation, glucose, and weight. It supports early detection of health deterioration, continuous patient tracking, and integration with clinical alerting systems, making it invaluable for proactive healthcare management and research.

last updated 29 Jul 2025
by GoMask

The brief that made it

Early detection of patient health deterioration and automated alerting

Sample rows

preview · 8 of 200 rows · all 14 columns

reading_idstring	blood_oxygen_saturation_pctfloat	alert_flagboolean	patient_idstring	device_idstring	timestampdatetime	heart_rate_bpmfloat	systolic_bp_mmHgfloat	diastolic_bp_mmHgfloat	respiratory_rate_bpmfloat	body_temperature_cfloat	glucose_mg_dlfloat	weight_kgfloat	notesstring
R0001	98	false	P001	D-A12	2024-06-01T07:15:00Z	74	118	76	15	36.8	92	82.4	Routine check, no complaints
R0002	97	false	P002	D-B27	2024-06-01T07:32:00Z	62	112	72	16	36.7	99	70.1	No symptoms reported
R0003	96	true	P003	D-A12	2024-06-01T08:02:00Z	88	136	87	20	37.6	123	94.3	Mild hypertension observed
R0004	98	false	P004	D-C34	2024-06-01T08:34:00Z	54	108	69	13	36.3	87	67.2	blank
R0005	99	false	P005	D-D58	2024-06-01T09:00:00Z	77	120	77	14	36.9	104	79.8	No issues, regular monitoring
R0006	94	true	P003	D-A12	2024-06-01T09:25:00Z	92	142	96	22	38.2	131	94.2	Fever and hypertension, follow-up required
R0007	90	true	P006	D-E12	2024-06-01T10:10:00Z	102	158	99	18	37.9	145	112.5	Obesity and hypertension, oxygen low
R0008	99	false	P007	D-F03	2024-06-01T10:25:00Z	76	121	78	16	36.8	109	68.7	blank
R0009	97	false	P008	D-G44	2024-06-01T11:03:00Z	65	114	73	15	37.1	91	74.9	Routine AM reading
R0010	80	true	P009	D-H61	2024-06-01T11:15:00Z	148	172	114	33	39.3	244	125.7	Critical values, hypertensive crisis, urgent care needed
R0011	98	false	P010	D-C34	2024-06-01T12:00:00Z	78	125	79	17	37.2	96	82.9	No symptoms
R0012	93	true	P011	D-I19	2024-06-01T12:20:00Z	97	151	106	23	37.7	112	106	Elevated BP and glucose, follow-up suggested
R0013	0	true	P012	D-J07	2024-06-01T12:57:00Z	0	0	0	0	25	0	0	Device malfunction, all sensors report zero
R0014	99	false	P013	D-K22	2024-06-01T13:12:00Z	81	128	82	18	37.3	106	86.5	Normal post-exercise reading
R0015	91	true	P014	D-L39	2024-06-01T13:40:00Z	95	144	97	20	38.5	155	121.7	Fever, hypertension, obesity
R0016	99	false	P015	D-M44	2024-06-01T14:15:00Z	73	119	75	15	36.8	100	65.4	blank
R0017	99	false	P001	D-A12	2024-06-01T14:45:00Z	77	122	78	18	37	104	82.3	Follow-up, stable vitals
R0018	98	false	P016	D-N53	2024-06-01T15:05:00Z	68	116	74	16	36.5	95	57.9	No complaints
R0019	76	true	P017	D-O67	2024-06-01T15:39:00Z	132	170	112	32	39.7	221	142.6	Multiple critical values, urgent intervention required
R0020	92	true	P018	D-P71	2024-06-01T16:10:00Z	93	152	105	20	37.9	165	110.8	Elevated BP, low oxygen

What the 200 rows show

from the 200-row sample

43%alert_flag = true
97median blood_oxygen_saturation_pct
50patients
78median heart_rate_bpm
121median systolic_bp_mmHg
78median diastolic_bp_mmHg

blood_oxygen_saturation_pct193 rows, in bands of 10

Median 97, from 0 to 100.

14 columns by typefrom the column list below

string 4
float 8
datetime 1
boolean 1

Columns

14 columns in four groups

blueprint · 14 columns
column	type	description	example
Text 4 columns
`reading_id`	string	Unique identifier for each physiological reading record.unique	R0001
`patient_id`	string	Unique identifier for the patient associated with this reading.	P001
`device_id`	string	Unique identifier for the remote monitoring device that captured the reading.	D-A12
`notes`	string	Optional notes or comments associated with the reading (e.g., patient-reported symptoms, device issues).optional	No symptoms reported
Numbers 8 columns
`heart_rate_bpm`	float	Patient's heart rate in beats per minute at the time of reading.0 or more · optional	74
`systolic_bp_mmHg`	float	Systolic blood pressure in millimeters of mercury.0 or more · optional	118
`diastolic_bp_mmHg`	float	Diastolic blood pressure in millimeters of mercury.0 or more · optional	76
`respiratory_rate_bpm`	float	Patient's respiratory rate in breaths per minute.0 or more · optional	15
`body_temperature_c`	float	Patient's body temperature in degrees Celsius.25 to 45 · optional	36.8
`blood_oxygen_saturation_pct`	float	Patient's blood oxygen saturation as a percentage.0 to 100 · optional	98
`glucose_mg_dl`	float	Patient's blood glucose level in milligrams per deciliter.0 or more · optional	92
`weight_kg`	float	Patient's weight in kilograms at the time of reading.0 or more · optional	82.4
Dates and times 1 column
`timestamp`	datetime	Date and time when the physiological reading was recorded.	2024-06-01T07:15:00Z
True or false 1 column
`alert_flag`	boolean	Indicates if this reading triggered an early warning or intervention alert.optional	false

Use it for

A healthcare dashboard
The alert_flag rate and blood_oxygen_saturation_pct. Excel, Power BI or Tableau.
Why do 85 of 200 rows have alert_flag = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
Readings200
R000198false
R000396true
R000694true
A software demo
Believable readings with patient_id, device_id and timestamp to fill a screen in front of a buyer.

This dataset200 rows14 columns

Yours1,000 rows14 columns

blueprint · remote-patient-monitoring-readings

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 14 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

Include timestamped heart rate, SpO2, blood pressure
Flag abnormal readings
Multiple patients over months
No personal identifiers

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: remote-patient-monitoring-readings

What should your data show?

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Sample rows

What the 200 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?