Healthcare Medical Device Usage Logs

This dataset provides detailed, synthetic logs of medical device usage in healthcare environments, including device operations, patient interactions, operator actions, and downtime events. It enables comprehensive operational analytics, compliance auditing, and incident tracking, supporting both regulatory reporting and process improvement initiatives.

  • opened 5 times
  • last updated 29 Jul 2025
  • by GoMask
The brief that made it

Operational analytics for medical device utilization and performance

Sample rows

preview · 8 of 200 rows · all 16 columns
log_idstringlocation_departmentstringoperation_duration_secondsintegercompliance_flagbooleanoperator_idstringdevice_idstringdevice_typestringdevice_serial_numberstringpatient_idstringoperation_typestringoperation_timestampdatetimeoperation_statusstringerror_codestringlocation_roomstringnotesstringerror_descriptionstring
LOG000001RadiologyblanktrueOP-001DVC-MRI-001MRIMRI2023001PAT-10001start2023-06-15T09:15:22ZsuccessblankRoom 201Routine MRI for neurological assessment.blank
LOG000002RadiologyblanktrueOP-001DVC-MRI-001MRIMRI2023001PAT-10001stop2023-06-15T09:48:55ZsuccessblankRoom 201Scan completed successfully.blank
LOG000003CardiologyblanktrueOP-005DVC-ECG-010ECGECG23010ABPAT-10002start2023-07-02T13:22:10ZsuccessblankECG-1Initiated ECG for chest pain evaluation.blank
LOG000004CardiologyblanktrueOP-005DVC-ECG-010ECGECG23010ABPAT-10002stop2023-07-02T13:28:45ZsuccessblankECG-1blankblank
LOG000005RadiologyblanktrueOP-002DVC-XRAY-021X-rayXRAY-021BPAT-10003start2023-12-01T14:10:00ZsuccessblankX-Ray 2Left arm imaging for fracture.blank
LOG000006RadiologyblanktrueOP-002DVC-XRAY-021X-rayXRAY-021BPAT-10003stop2023-12-01T14:16:21ZsuccessblankX-Ray 2blankblank
LOG000007OncologyblanktrueOP-014DVC-INF-055Infusion PumpINF-055-23PAT-10004start2023-09-20T10:30:33ZsuccessblankChemo 4Chemo cycle 2 initiated.blank
LOG000008OncologyblanktrueOP-014DVC-INF-055Infusion PumpINF-055-23PAT-10004stop2023-09-20T12:00:12ZsuccessblankChemo 4Cycle complete, patient stable.blank

What the 200 rows show

from the 200-row sample

Radiology (location department) stands out: mean operation_duration_seconds is 596,536,630, against 37,684,191 for the rest.

  • 86%compliance_flag = true
  • 3,600median operation_duration_seconds
  • 3operation statuses
  • 7device types
  • 7operation types
Mean operation_duration_seconds by location_department75 rows
0400M800M596.5MRadi…18 ro…1,875Card…8 rows12,512Lab20 ro…3,178Obst…9 rows306.8MICU7 rows3,467Mobi…9 rows22,350Onco…4 rows
operation_duration_seconds75 rows, in bands of 250M
03570690000000601.3B2.3Boperation_duration_seconds →

Median 3,600, from 0 to 2,147,483,647.

operator_id200 rows · top 10 of 35 values
  1. OP-01425
  2. OP-02225
  3. OP-02110
  4. OP-01910
  5. OP-03510
  6. OP-0159
  7. OP-0018
  8. OP-0308
  9. OP-0378
  10. OP-0287
16 columns by typefrom the column list below
  • string 13
  • integer 1
  • datetime 1
  • boolean 1

Columns

16 columns in four groups
blueprint · 16 columns
columntypedescriptionexample
Text 13 columns
log_idstringUnique identifier for each device usage log entryuniqueLOG000001
device_idstringUnique identifier for the medical deviceDVC-MRI-001
device_typestringType or model of the medical device (e.g., MRI, X-ray, Infusion Pump)7 typesMRI
device_serial_numberstringManufacturer serial number of the medical deviceMRI2023001
patient_idstringUnique identifier for the patient interacting with the device (de-identified)optionalPAT-10001
operator_idstringUnique identifier for the healthcare professional operating the deviceOP-001
operation_typestringType of operation performed (e.g., start, stop, calibration, maintenance, error, downtime)7 valuesstart
operation_statusstringStatus of the operation (e.g., success, failure, in_progress)success · failure · in_progresssuccess
error_codestringError code if the operation resulted in an error or downtimeoptionalXR-ERR07
error_descriptionstringDetailed description of the error or downtime eventoptionalX-ray tube voltage exceed…
location_departmentstringHospital department or location where the device was operated7 departmentsRadiology
location_roomstringSpecific room or area within the department where the device was usedoptionalRoom 201
notesstringAdditional notes or comments related to the device usage or incidentoptionalChemo cycle 2 initiated.
Numbers 1 column
operation_duration_secondsintegerDuration of the operation or downtime in seconds (if applicable)0 or more · optional3600
Dates and times 1 column
operation_timestampdatetimeDate and time when the operation occurred2023-06-15T09:15:22Z
True or false 1 column
compliance_flagbooleanIndicates if the operation met compliance requirements (true/false)true

Use it for

  • compliance flag86%172 of 200 rowsmean operation durati…596.5MRadi…1.9kCard…12.5kLab3.2kObst…

    A healthcare dashboard

    The compliance_flag rate, operation_duration_seconds by location_department and a breakdown of operator_id. Excel, Power BI or Tableau.

  • Why do the 18 Radiology rows have a mean operation_duration_seconds of 596,536,630?

    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 logs with device_id, device_type and device_serial_number to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 16 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows16 columns
Yours1,000 rows16 columnslocation_department: UK only

blueprint · healthcare-medical-device-usage-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
  • Devices tagged with unique IDs
  • Usage events timestamped daily
  • Downtime reason and duration logged
  • Patient identifiers anonymized
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
healthcare-medical-device-usage-logs

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