Clinical Equipment Utilization Logs

This dataset provides detailed daily logs of clinical equipment usage, capturing information on equipment identity, usage times, staff operators, departments, and maintenance needs. It enables healthcare organizations to analyze utilization patterns, optimize equipment allocation, and proactively manage maintenance schedules for improved operational efficiency and patient care.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Analyzing equipment utilization rates to inform purchase and replacement decisions

Sample rows

preview · 8 of 44 rows · all 18 columns
log_idintegerpurposestringduration_minutesfloatmaintenance_requiredbooleanequipment_idstringequipment_namestringequipment_typestringdepartmentstringusage_datedatestart_timedatetimeend_timedatetimeuser_idstringuser_rolestringpatient_idstringutilization_statusstringlocation_roomstringnotesstringmaintenance_notesstring
1diagnostic50falseEQ-101Siemens Magnetom AeraMRIRadiology2023-06-152023-06-15T08:22:002023-06-15T09:12:00U-2039technicianP-1008completedR-201No issues encountered.blank
2treatment135falseEQ-103Dräger Evita Infinity V500ventilatorICU2023-06-152023-06-15T07:10:002023-06-15T09:25:00U-2004nurseP-1012completedICU-4Monitored patient throughout.blank
3treatment45falseEQ-205Baxter Sigma Spectruminfusion pumpOncology2023-06-142023-06-14T14:20:002023-06-14T15:05:00U-2045nurseP-1018completedONC-12Standard chemotherapy session.blank
4diagnostic42trueEQ-107Philips IntelliVue MX800monitorCardiology2023-06-132023-06-13T11:00:002023-06-13T11:42:00U-2071technicianP-1034completedCARD-7Calibration required mid-session.Detected calibration drift, recalibrated system.
5diagnostic40falseEQ-110GE HealthCare Carescape B650monitorEmergency2023-06-152023-06-15T10:30:002023-06-15T11:10:00U-2008doctorP-1002completedER-5Patient admitted for chest pain.blank
6treatment42falseEQ-205Baxter Sigma Spectruminfusion pumpPediatrics2023-06-142023-06-14T09:05:002023-06-14T09:47:00U-2045nurseP-1045completedPED-9Pediatric dosing verified.blank
7diagnostic20falseEQ-116Masimo Radical-7pulse oximeterEmergency2023-06-122023-06-12T13:00:002023-06-12T13:20:00U-2015nurseP-1049completedER-2Quick assessment, no anomalies.blank
8treatment55falseEQ-120Alaris PC Unitinfusion pumpSurgery2023-06-112023-06-11T17:10:002023-06-11T18:05:00U-2098nurseP-1053completedSUR-10Infusion completed without issue.blank

What the 44 rows show

from the 44-row sample

Diagnostic purpose stands out: mean duration_minutes is 32.4, against 62.7 for the rest.

  • 9%maintenance_required = true
  • 42median duration_minutes
  • 3user roles
  • 3utilization statuses
  • 13equipment types
  • 13departments
Mean duration_minutes by purpose44 rows
0408032.4diagnostic23 rows63.7treatment18 rows56.7maintenance3 rows
duration_minutes44 rows, in bands of 20
0816811164023080140duration_minutes →

Median 42, from 10 to 140.

equipment_id44 rows · top 10 of 18 values
  1. EQ-1013
  2. EQ-1033
  3. EQ-2053
  4. EQ-1163
  5. EQ-1203
  6. EQ-1123
  7. EQ-1413
  8. EQ-1703
  9. EQ-1853
  10. EQ-1072
18 columns by typefrom the column list below
  • string 12
  • integer 1
  • float 1
  • date 1
  • datetime 2
  • boolean 1

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 12 columns
equipment_idstringUnique identifier for the clinical equipment itemEQ-101
equipment_namestringDescriptive name of the clinical equipmentSiemens Magnetom Aera
equipment_typestringType or category of the clinical equipment (e.g., MRI, ventilator, infusion pump)MRI
departmentstringHospital department or unit where the equipment is located or usedRadiology
user_idstringIdentifier for the staff member who operated the equipmentU-2039
user_rolestringRole or position of the staff member (e.g., nurse, technician, doctor)3 roles · optionaltechnician
patient_idstringIdentifier for the patient associated with the equipment usage (if applicable)optionalP-1008
purposestringPurpose or reason for equipment use (e.g., diagnostic, treatment, maintenance)diagnostic · treatment · maintenance · otherdiagnostic
maintenance_notesstringDetails or notes about maintenance issues or actions takenoptionalDetected calibration drif…
utilization_statusstringStatus of equipment utilization (e.g., completed, interrupted, failed)completed · interrupted · failedcompleted
location_roomstringRoom or physical location where the equipment was usedoptionalR-201
notesstringAdditional notes or comments about the equipment usageoptionalNo issues encountered.
Numbers 2 columns
log_idintegerUnique identifier for each equipment utilization log entryunique1
duration_minutesfloatTotal duration of equipment usage in minutes0 or more50
Dates and times 3 columns
usage_datedateDate of the equipment usage log entry2023-06-15
start_timedatetimeTimestamp when equipment usage started2023-06-15T08:22:00
end_timedatetimeTimestamp when equipment usage ended2023-06-15T09:12:00
True or false 1 column
maintenance_requiredbooleanIndicates if maintenance was required or identified during this usagefalse

Use it for

  • maintenance re…9%4 of 44 rowsmean duration minutes…32.4diagno…63.7treatm…56.7mainte…

    A healthcare dashboard

    The maintenance_required rate, duration_minutes by purpose and a breakdown of equipment_id. Excel, Power BI or Tableau.

  • Why do the 23 diagnostic rows have a mean duration_minutes of 32.4?

    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 rows with equipment_id, equipment_name and equipment_type to fill a screen in front of a buyer.

Not quite right?

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This dataset44 rows18 columns
Yours1,000 rows18 columnslocation_room: UK only

blueprint · clinical-equipment-utilization-logs

Behind this dataset

Same schema. As many rows as you need.

These 44 rows came out of a blueprint — 18 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
  • Log usage duration per device per day
  • Flag utilization below 50%
  • Summarize by department
  • Identify devices due for replacement
  • Log downtime events
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
clinical-equipment-utilization-logs

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