Healthcare
16 columns
200 rows
8 formats

Healthcare Device Calibration Logs

This dataset provides comprehensive logs of calibration events for medical devices, including device identifiers, calibration details, drift measurements, compliance outcomes, and scheduling information. It enables healthcare organizations to monitor device performance, ensure regulatory compliance, and optimize maintenance schedules for critical medical equipment.

last updated 29 Jul 2025
by GoMask

The brief that made it

Regulatory compliance reporting for medical device maintenance

Sample rows

preview · 8 of 200 rows · all 16 columns

log_idstring	calibration_typestring	drift_measurement_beforefloat	compliance_check_passedboolean	compliance_standardstring	device_idstring	device_typestring	serial_numberstring	locationstring	calibration_datedatetime	calibrated_bystring	drift_measurement_afterfloat	drift_unitstring	next_due_calibration_datedate	log_created_atdatetime	calibration_notesstring
CAL10001	routine	23.4	true	ISO 13485	MDV001	Infusion Pump Model A	SN12345678	ICU East	2023-03-15T09:12:45	A. Martin	1.2	ppm	2023-09-15	2023-03-15T09:15:02	Routine calibration completed successfully.
CAL10002	initial	0.4	true	FDA	MDV002	Ventilator Series X	SN98765432	Respiratory Ward	2023-03-16T14:23:10	J. Patel	0	mmHg	2023-09-16	2023-03-16T14:25:30	Initial calibration, device within specifications.
CAL10003	corrective	120.9	false	ISO 13485	MDV003	Defibrillator Pro	SN24681357	ER North	2023-03-17T08:10:22	S. Jones	2.1	mV	2023-04-17	2023-03-17T08:12:00	Compliance check failed: output voltage unstable, requires additional service.
CAL10004	routine	2.3	true	FDA	MDV004	Blood Pressure Monitor B12	SN13579246	Outpatient Clinic	2023-03-17T11:29:55	L. Nguyen	0.2	mmHg	2023-09-17	2023-03-17T11:32:12	Routine check, all parameters normal.
CAL10005	corrective	350.7	true	AAMI	MDV005	EKG Monitor Z5	SN11223344	Cardiology Lab	2023-03-18T10:15:00	C. Smith	10.4	mV	2023-06-18	2023-03-18T10:17:45	Corrective calibration after minor drift detected.
CAL10006	routine	17	true	ISO 13485	MDV006	Syringe Pump S1	SN55667788	NICU	2023-03-19T15:20:18	N. Brown	1.1	ppm	2023-09-19	2023-03-19T15:23:04	Routine maintenance performed.
CAL10007	routine	24	true	ISO 13485	MDV001	Infusion Pump Model A	SN12345678	ICU East	2023-03-21T13:40:04	A. Martin	0.8	ppm	2023-09-21	2023-03-21T13:41:10	Scheduled calibration; device in range.
CAL10008	routine	1.6	true	FDA	MDV007	Pulse Oximeter QX	SN66778899	Recovery Room	2023-03-22T09:05:29	J. Patel	0.1	mV	2023-09-22	2023-03-22T09:06:42	All sensor readings calibrated.
CAL10009	routine	19.8	true	ISO 13485	MDV008	Infusion Pump Model B	SN99887766	Oncology Ward	2023-03-23T12:45:20	L. Nguyen	0.8	ppm	2023-09-23	2023-03-23T12:47:08	Device maintained within drift tolerance.
CAL10010	routine	0.9	true	FDA	MDV009	Ventilator Series X	SN33445566	Respiratory Ward	2023-03-24T07:30:00	G. Walker	0	mmHg	2023-09-24	2023-03-24T07:31:34	No abnormal drift detected.
CAL10011	post-repair	486.2	true	AAMI	MDV010	ECG Monitor S2	SN22334455	Cardiology Lab	2023-03-25T16:20:54	S. Jones	1	mV	2023-05-25	2023-03-25T16:22:40	Post-repair calibration, all leads verified.
CAL10012	routine	3.2	true	CLIA	MDV011	Blood Gas Analyzer 3000	SN44556677	Lab 2	2023-03-26T10:00:00	N. Brown	0.4	mmHg	2023-09-26	2023-03-26T10:01:32	Routine calibration, values within normal range.
CAL10013	corrective	2.7	false	ISO 13485	MDV012	Pulse Oximeter QX	SN99887755	ICU West	2023-03-27T15:17:43	J. Patel	0.3	mV	2023-04-27	2023-03-27T15:19:44	Compliance failed: SpO2 readings out of range, sensor recalibration required.
CAL10014	post-repair	985.4	true	FDA	MDV013	Defibrillator Pro	SN34561234	ER South	2023-03-28T18:22:10	L. Nguyen	0.9	mV	2023-06-28	2023-03-28T18:23:57	Device cleared after battery replacement.
CAL10015	routine	3.5	true	CLIA	MDV014	Blood Gas Analyzer 3000	SN22335566	Lab 1	2023-03-29T11:42:32	A. Martin	0.5	mmHg	2023-09-29	2023-03-29T11:43:55	Routine calibration performed.
CAL10016	other	48.2	true	ISO 13485	MDV015	Syringe Pump S1	SN11224488	NICU	2023-03-30T08:07:48	C. Smith	1	ppm	2023-09-30	2023-03-30T08:10:05	Special calibration for new software update.
CAL10017	routine	12.5	true	AAMI	MDV005	EKG Monitor Z5	SN11223344	Cardiology Lab	2023-03-31T13:15:29	S. Jones	0.9	mV	2023-09-30	2023-03-31T13:16:40	Routine check; signal quality optimal.
CAL10018	routine	20.1	true	ISO 13485	MDV016	Infusion Pump Model B	SN99887766	Oncology Ward	2023-04-01T10:00:00	N. Brown	0.5	ppm	2023-10-01	2023-04-01T10:01:23	Routine calibration, no issues observed.
CAL10019	routine	2.7	true	FDA	MDV017	Blood Pressure Monitor B12	SN13579246	Outpatient Clinic	2023-04-02T12:13:22	L. Nguyen	0.3	mmHg	2023-10-02	2023-04-02T12:15:50	All readings normal.
CAL10020	corrective	187.6	false	ISO 13485	MDV018	Defibrillator Pro	SN24681357	ER North	2023-04-03T09:17:38	A. Martin	3	mV	2023-05-03	2023-04-03T09:19:42	Compliance failed: battery voltage unstable after full cycle.

What the 200 rows show

from the 200-row sample

Post-repair (calibration type) stands out: mean drift_measurement_before is 127.4, against 11.7 for the rest.

94%compliance_check_passed = true
3.5median drift_measurement_before
5drift units
41device types
51calibrated_by values
52locations

Mean drift_measurement_before by calibration_type200 rows

drift_measurement_before200 rows, in bands of 200

Median 3.5, from -15.2 to 985.4.

compliance_standard198 rows with a value · 2 left blank

ISO 1348576
FDA71
CLIA12
ISO 6060111
JCI9
CE8
AAMI7
JIS T 06013
ISO 151891

16 columns by typefrom the column list below

string 10
float 2
date 1
datetime 2
boolean 1

Columns

16 columns in four groups

blueprint · 16 columns
column	type	description	example
Text 10 columns
`log_id`	string	Unique identifier for each calibration log entryunique	CAL10001
`device_id`	string	Unique identifier for the medical device	MDV001
`device_type`	string	Type or model of the medical device	Infusion Pump Model A
`serial_number`	string	Serial number of the device	SN12345678
`location`	string	Physical location or department where the device is situatedoptional	ICU East
`calibrated_by`	string	Name or identifier of the technician who performed the calibration	A. Martin
`calibration_type`	string	Type of calibration performed (e.g., initial, routine, corrective)initial · routine · corrective · post-repair · other	routine
`drift_unit`	string	Unit of measurement for drift (e.g., ppm, mmHg, mV)5 units · optional	ppm
`compliance_standard`	string	Compliance standard or regulation referenced during the check (e.g., ISO 13485, FDA)9 standards · optional	ISO 13485
`calibration_notes`	string	Additional notes or observations recorded during calibrationoptional	All readings normal.
Numbers 2 columns
`drift_measurement_before`	float	Drift measurement value recorded before calibrationoptional	23.4
`drift_measurement_after`	float	Drift measurement value recorded after calibrationoptional	1.2
Dates and times 3 columns
`calibration_date`	datetime	Date and time when the calibration event occurred	2023-03-15T09:12:45
`next_due_calibration_date`	date	Scheduled date for the next calibration eventoptional	2023-09-15
`log_created_at`	datetime	Timestamp when this log entry was created in the system	2023-03-15T09:15:02
True or false 1 column
`compliance_check_passed`	boolean	Indicates if the device passed compliance checks after calibration	true

Use it for

A healthcare dashboard
The compliance_check_passed rate, drift_measurement_before by calibration_type and a breakdown of compliance_standard. Excel, Power BI or Tableau.
Why do the 17 post-repair rows have a mean drift_measurement_before of 127.4?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs200
CAL1000123.4routine
CAL100020.4initial
CAL10003120.9correcti…
A software demo
Believable logs with device_id, device_type and serial_number to fill a screen in front of a buyer.

This dataset200 rows16 columns

Yours1,000 rows16 columnslocation: UK only

blueprint · healthcare-device-calibration-logs

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 16 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

Device types categorized by function
Calibration performed at manufacturer intervals
Drift values recorded before/after calibration
Compliance events time-stamped

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: healthcare-device-calibration-logs

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?