Healthcare Device Fault Incident Logs

This dataset provides detailed logs of healthcare device fault incidents, including operational hours at failure, error codes, severity, and maintenance actions taken. It enables predictive maintenance, root cause analysis, and reliability modeling for clinical technology environments, supporting improved uptime and patient safety.

  • opened 6 times
  • last updated 22 Jul 2025
  • by GoMask
The brief that made it

Predictive maintenance modeling for medical devices

Sample rows

preview · 8 of 200 rows · all 15 columns
incident_idstringseverity_levelstringdowntime_minutesintegerdevice_typestringdevice_idstringdevice_locationstringincident_datetimedatetimeoperational_hours_at_incidentfloaterror_codestringmaintenance_datetimedatetimemaintenance_personnel_idstringincident_statusstringerror_descriptionstringmaintenance_action_takenstringnotesstring
INC0001critical120CT Scanner Pro 7000DEV-CT-001Radiology, 2nd Floor2021-03-15T09:34:000.01INIT-FAIL2021-03-15T12:10:00ENG-1021resolvedInitial system self-test failed on startup.Replaced system board and re-initialized device.Incident during first startup after commissioning.
INC0002moderate210MRI Vision 3TDEV-MRI-002Imaging, 1st Floor2021-04-10T14:22:0048933.7ERR-OVR2021-04-10T16:03:00BMET-304closedOperational hour counter exceeded lifetime threshold.Counter reset and performed lifetime extension protocol.Device reached max use, service overdue warning displayed.
INC0003critical100ECG Monitor S-12DEV-ECG-003Cardiology, 3rd Floor2021-07-05T08:15:001SVC-INIT2021-07-05T09:50:00IT-8997resolvedService initialization failed at first use.Reinstalled firmware and verified service functions.Initial QA failure during device rollout.
INC0004minor0Infusion Pump AlphaDEV-INF-004ICU, 2nd Floor2021-09-11T21:45:008792.2AL-BATTblankblankopenBattery alert triggered during normal operation.blankDevice remains in use; monitoring battery performance.
INC0005critical140Ventilator MaxLifeDEV-VENT-005Respiratory, 1st Floor2021-10-13T13:08:0023341.8ERR-FAN2021-10-13T15:34:00TECH-205resolvedFan speed error detected, operation halted.Replaced internal cooling fan, tested all functions.Emergency shutdown; backup used for patient.
INC0006minor0Infusion Pump AlphaDEV-PUMP-006ICU, 2nd Floor2022-01-18T15:56:003124.6AL-LOWblankblankopenLow fluid alarm triggered.blankNursing staff refilled reservoir; device not removed from service.
INC0007minor0CT Scanner Pro 7000DEV-CT-001Radiology, 2nd Floor2022-03-29T10:11:0015304.2WARN-TEMPblankblankin_progressTemperature warning; device continued operation.blankMonitoring for persistent warning; no patient impact.
INC0008critical480MRI Vision 3TDEV-MRI-002Imaging, 1st Floor2022-04-20T11:47:0050432.9ERR-M4012022-04-20T18:09:00ENG-213closedMagnet cooling error detected.Cryocooler unit replaced, system recharged.Device out of service for 8 hours; patient schedule adjusted.

What the 200 rows show

from the 200-row sample

Critical (severity level) stands out: mean downtime_minutes is 164.8, against 33.4 for the rest.

  • 65median downtime_minutes
  • 4incident statuses
  • 53device locations
  • 12,614median operational_hours_at_incident
Mean downtime_minutes by severity_level200 rows
01002004.3minor66 rows67.6moderate56 rows164.8critical78 rows
downtime_minutes200 rows, in bands of 100
06513012354174110300600downtime_minutes →

Median 65, from 0 to 520.

device_type200 rows · top 10 of 17 values
  1. CT Scanner Pro 700042
  2. Infusion Pump Alpha25
  3. Alaris Infusion Pump 810012
  4. MRI Vision 3T11
  5. Infusion Pump 700XL11
  6. ECG Monitor S-1210
  7. Respironics V60 Ventilator10
  8. ECG Prime Monitor10
  9. GE MAC 5500 ECG9
  10. Ventilator Alpha9
15 columns by typefrom the column list below
  • string 11
  • integer 1
  • float 1
  • datetime 2

Columns

15 columns in three groups
blueprint · 15 columns
columntypedescriptionexample
Text 11 columns
incident_idstringUnique identifier for each fault incident log entryuniqueINC0001
device_idstringUnique identifier for the healthcare device involved in the incidentDEV-CT-001
device_typestringType or model of the healthcare deviceCT Scanner Pro 7000
device_locationstringPhysical location or department where the device is installedoptionalRadiology, 2nd Floor
error_codestringManufacturer or system error code reported during the incidentINIT-FAIL
error_descriptionstringHuman-readable description of the error or faultoptionalMagnet ramp error.
severity_levelstringSeverity of the incident (e.g., minor, moderate, critical)minor · moderate · critical · optionalcritical
maintenance_action_takenstringDescription of the maintenance or repair action performed in response to the incidentoptionalInternal fuse replaced.
maintenance_personnel_idstringIdentifier for the technician or staff member who performed the maintenanceoptionalENG-1021
incident_statusstringCurrent status of the incident (e.g., open, in_progress, resolved, closed)open · in_progress · resolved · closedresolved
notesstringAdditional notes or comments related to the incident or maintenanceoptionalQA follow-up scheduled.
Numbers 2 columns
operational_hours_at_incidentfloatTotal cumulative operational hours recorded on the device at the time of the incident0 or more0.01
downtime_minutesintegerTotal minutes the device was out of service due to the incident0 or more · optional120
Dates and times 2 columns
incident_datetimedatetimeDate and time when the fault incident occurred or was detected2021-03-15T09:34:00
maintenance_datetimedatetimeDate and time when maintenance or repair was performedoptional2021-03-15T12:10:00

Use it for

  • median downtim…65200 rowsmean downtime minutes…4.3minor67.6modera…164.8critic…

    A healthcare dashboard

    Downtime_minutes by severity_level and a breakdown of device_type. Excel, Power BI or Tableau.

  • Why do the 78 critical rows have a mean downtime_minutes of 164.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable incidents with device_id, device_type and device_location to fill a screen in front of a buyer.

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This dataset200 rows15 columns
Yours1,000 rows15 columnsdevice_location: UK only

blueprint · healthcare-device-fault-incident-logs

Behind this dataset

Same schema. As many rows as you need.

These 200 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
  • Each record links to device type and usage pattern
  • Faults follow manufacturer-specific probabilities
  • Maintenance actions resolve specific error codes
  • Incident timestamps mimic hospital shift cycles
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
healthcare-device-fault-incident-logs

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