Healthcare
20 columns
200 rows
8 formats

Medical Device Failure Events

This dataset provides detailed, event-level logs of medical device operations and failures, including device identifiers, operating conditions, maintenance actions, and regulatory reporting status. It enables predictive maintenance analytics, supports compliance with healthcare regulations, and facilitates root cause analysis for device reliability improvements.

opened 7 times
last updated 20 Aug 2025
by GoMask

The brief that made it

Predictive maintenance modeling for medical devices

Sample rows

preview · 8 of 200 rows · all 20 columns

event_idstring	device_typestring	usage_hoursfloat	maintenance_performedboolean	location_departmentstring	device_idstring	manufacturerstring	serial_numberstring	installation_datedate	location_facilitystring	event_timestampdatetime	event_typestring	failure_codestring	operating_conditionsstring	maintenance_typestring	maintenance_timestampdatetime	reported_to_regulatorboolean	regulatory_report_idstring	operator_idstring	failure_descriptionstring
EVT-00001	X-Ray Scanner	6900.5	false	Radiology	DV-XRY-001	MedCorp	SN-1001-A	2017-03-22	City General Hospital	2024-06-04T09:15:22	operation	blank	Temp: 26C; Voltage: 220V	blank	blank	false	blank	OP-8213	blank
EVT-00002	X-Ray Scanner	6912	true	Radiology	DV-XRY-001	MedCorp	SN-1001-A	2017-03-22	City General Hospital	2024-06-04T11:03:17	failure	F-XRY-2098	Temp: 32C; Voltage: 219V	Tube cooling system replacement	2024-06-04T13:00:00	true	REG-341201	OP-8213	Tube overheated during extended imaging session.
EVT-00003	X-Ray Scanner	6918.5	true	Radiology	DV-XRY-001	MedCorp	SN-1001-A	2017-03-22	City General Hospital	2024-06-05T09:00:03	maintenance	blank	Temp: 22C; Voltage: 221V	Routine calibration and cleaning	2024-06-05T09:45:00	false	blank	OP-8213	blank
EVT-00004	X-Ray Scanner	8043.2	false	Radiology	DV-XRY-002	MedCorp	SN-1022-B	2016-11-09	Metro Health Center	2024-05-28T15:55:10	operation	blank	Temp: 24C; Voltage: 220V	blank	blank	false	blank	OP-9126	blank
EVT-00005	X-Ray Scanner	8047	true	Radiology	DV-XRY-002	MedCorp	SN-1022-B	2016-11-09	Metro Health Center	2024-05-28T18:10:34	maintenance	blank	Temp: 25C; Voltage: 221V	Image sensor recalibration	2024-05-28T18:45:00	false	blank	OP-9126	blank
EVT-00006	Ventilator	14211.8	false	ICU	DV-VNT-001	LifeBreath	LBV-9003	2015-09-15	St. Mary's Hospital	2024-06-01T07:12:45	operation	blank	Temp: 21C; Pressure: 1.2atm	blank	blank	false	blank	OP-7715	blank
EVT-00007	Ventilator	14220.2	true	ICU	DV-VNT-001	LifeBreath	LBV-9003	2015-09-15	St. Mary's Hospital	2024-06-01T11:32:10	failure	F-VNT-1072	Temp: 22C; Pressure: 1.3atm	Alarm circuit replacement	2024-06-01T13:00:00	true	REG-675812	OP-7715	Alarm malfunctioned during patient ventilation.
EVT-00008	Ventilator	14226.5	true	ICU	DV-VNT-001	LifeBreath	LBV-9003	2015-09-15	St. Mary's Hospital	2024-06-02T10:00:10	maintenance	blank	Temp: 20C; Pressure: 1.2atm	Routine filter replacement	2024-06-02T10:45:00	false	blank	OP-7715	blank
EVT-00009	Ventilator	17892.3	false	ICU	DV-VNT-002	LifeBreath	LBV-9012	2014-05-12	Green Valley Medical	2024-05-30T13:15:43	operation	blank	Temp: 20C; Pressure: 1.1atm	blank	blank	false	blank	OP-4824	blank
EVT-00010	Ventilator	17894	true	ICU	DV-VNT-002	LifeBreath	LBV-9012	2014-05-12	Green Valley Medical	2024-05-30T16:20:11	maintenance	blank	Temp: 21C; Pressure: 1.2atm	Airway sensor adjustment	2024-05-30T17:00:00	false	blank	OP-4824	blank
EVT-00011	ECG Monitor	1350.7	false	Cardiology	DV-ECG-001	HealthWorks	ECG002B-202	2022-08-11	Downtown Cardiology Clinic	2024-06-03T14:22:34	operation	blank	Temp: 25C; Battery: 82%	blank	blank	false	blank	OP-1057	blank
EVT-00012	ECG Monitor	1352.1	false	Cardiology	DV-ECG-001	HealthWorks	ECG002B-202	2022-08-11	Downtown Cardiology Clinic	2024-06-03T15:45:10	warning	blank	Temp: 26C; Battery: 65%	blank	blank	false	blank	OP-1057	blank
EVT-00013	ECG Monitor	1353.5	true	Cardiology	DV-ECG-001	HealthWorks	ECG002B-202	2022-08-11	Downtown Cardiology Clinic	2024-06-03T17:30:00	maintenance	blank	Temp: 24C; Battery: 60%	Battery compartment cleaning	2024-06-03T18:00:00	false	blank	OP-1057	blank
EVT-00014	ECG Monitor	1842.8	false	Emergency	DV-ECG-002	HealthWorks	ECG003A-317	2021-04-07	Eastside Medical Clinic	2024-06-02T10:05:20	operation	blank	Temp: 27C; Battery: 95%	blank	blank	false	blank	OP-2371	blank
EVT-00015	ECG Monitor	1847.1	true	Emergency	DV-ECG-002	HealthWorks	ECG003A-317	2021-04-07	Eastside Medical Clinic	2024-06-02T13:00:00	failure	F-ECG-9812	Temp: 25C; Battery: 44%	Lead connector replacement	2024-06-02T13:40:00	false	blank	OP-2371	Lead connection error detected during patient exam.
EVT-00016	ECG Monitor	1850	true	Emergency	DV-ECG-002	HealthWorks	ECG003A-317	2021-04-07	Eastside Medical Clinic	2024-06-02T15:00:00	maintenance	blank	Temp: 24C; Battery: 90%	Routine sensor cleaning	2024-06-02T15:30:00	false	blank	OP-2371	blank
EVT-00017	External Defibrillator	7.4	true	Emergency Response	DV-DFB-001	PulseMed	PM-ED-2007	blank	Central Mall	2024-06-01T07:40:10	failure	F-DFB-7095	Temp: 33C; Battery: 12%	Battery replacement	2024-06-01T08:15:00	true	REG-440208	OP-9000	Battery depleted during emergency use.
EVT-00018	External Defibrillator	7.8	true	Emergency Response	DV-DFB-001	PulseMed	PM-ED-2007	blank	Central Mall	2024-06-01T09:00:00	maintenance	blank	Temp: 32C; Battery: 98%	Electrode replacement	2024-06-01T09:45:00	false	blank	OP-9000	blank
EVT-00019	External Defibrillator	12.9	true	Emergency Response	DV-DFB-002	PulseMed	PM-ED-2019	2023-11-15	Airport Health Station	2024-06-02T18:23:10	failure	F-DFB-1823	Temp: 29C; Battery: 14%	Shock delivery system test	2024-06-02T19:00:00	true	REG-129356	OP-7001	Shock delivery error detected during test.
EVT-00020	External Defibrillator	13.2	true	Emergency Response	DV-DFB-002	PulseMed	PM-ED-2019	2023-11-15	Airport Health Station	2024-06-02T20:00:00	maintenance	blank	Temp: 28C; Battery: 100%	Electrode compartment cleaning	2024-06-02T20:45:00	false	blank	OP-7001	blank

What the 200 rows show

from the 200-row sample

Ventilator (device type) stands out: mean usage_hours is 15,011, against 2,073 for the rest.

55%maintenance_performed = true
1,353median usage_hours
4event types
7manufacturers
49location facilities
51devices

Mean usage_hours by device_type200 rows

usage_hours200 rows, in bands of 2,000

Median 1,353, from 7.4 to 18,104.

location_department190 rows with a value · 10 left blank

Radiology35
Nephrology30
ICU26
Emergency Response26
Oncology23
Cardiology20
Emergency14
Pediatrics12
General Surgery4

20 columns by typefrom the column list below

string 14
float 1
date 1
datetime 2
boolean 2

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 14 columns
`event_id`	string	Unique identifier for each device event recordunique	EVT-00001
`device_id`	string	Unique identifier for the medical device	DV-XRY-001
`device_type`	string	Type or model of the medical device6 types	X-Ray Scanner
`manufacturer`	string	Name of the device manufacturer7 manufacturers	MedCorp
`serial_number`	string	Device serial number for traceability	SN-1001-A
`location_facility`	string	Name of the healthcare facility where the device is located	City General Hospital
`location_department`	string	Department within the facility where the device is used9 departments · optional	Radiology
`event_type`	string	Type of event (e.g., operation, warning, failure, maintenance)operation · warning · failure · maintenance	operation
`failure_code`	string	Standardized code representing the failure type (if applicable)optional	F-XRY-2098
`failure_description`	string	Detailed description of the failure eventoptional	Tube overheated during ex…
`operating_conditions`	string	Summary of device operating conditions at event time (e.g., temperature, voltage)optional	Temp: 26C; Voltage: 220V
`maintenance_type`	string	Type of maintenance performed (if applicable)optional	Airway sensor adjustment
`regulatory_report_id`	string	Identifier for the regulatory report (if applicable)optional	REG-341201
`operator_id`	string	Identifier for the staff member operating the device at event timeoptional	OP-8213
Numbers 1 column
`usage_hours`	float	Total hours the device has operated since installation0 or more · optional	6900.5
Dates and times 3 columns
`installation_date`	date	Date the device was installedoptional	2017-03-22
`event_timestamp`	datetime	Date and time when the event occurred	2024-06-04T09:15:22
`maintenance_timestamp`	datetime	Date and time maintenance was performed (if applicable)optional	2024-06-04T13:00:00
True or false 2 columns
`maintenance_performed`	boolean	Indicates if maintenance was performed as a result of the eventoptional	false
`reported_to_regulator`	boolean	Indicates if the event was reported to regulatory authoritiesoptional	false

Use it for

A healthcare dashboard
The maintenance_performed rate, usage_hours by device_type and a breakdown of location_department. Excel, Power BI or Tableau.
Why do the 27 Ventilator rows have a mean usage_hours of 15,011?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Events200
EVT-000016900.5X-Ray Sc…
EVT-000026912X-Ray Sc…
EVT-000036918.5X-Ray Sc…
A software demo
Believable events with device_id, device_type and manufacturer to fill a screen in front of a buyer.

This dataset200 rows20 columns

Yours1,000 rows20 columnslocation_facility: UK only

blueprint · medical-device-failure-events

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 20 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 type and model recorded
Failure causes categorized
Operation hours tracked per device
Maintenance history included

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: medical-device-failure-events

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?