Medical Device Utilization Dataset

This dataset provides granular tracking of medical device usage and downtime in clinical environments, including asset status, maintenance activities, and location assignments. It enables healthcare organizations to optimize device utilization, reduce downtime, and plan maintenance proactively for improved patient care and operational efficiency.

  • opened 7 times
  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Optimizing medical device utilization and allocation

Sample rows

preview · 8 of 200 rows · all 18 columns
device_idstringasset_statusstringusage_duration_minutesfloatmaintenance_requiredbooleanmanufacturerstringdevice_typestringmodel_numberstringserial_numberstringlocation_idstringlocation_namestringusage_start_datetimedatetimeusage_end_datetimedatetimedowntime_start_datetimedatetimedowntime_end_datetimedatetimedowntime_duration_minutesfloatdowntime_reasonstringmaintenance_completed_datetimedatetimemaintenance_notesstring
DV-0001available510falseCompuMedventilatorCM-VEN-500CM-VEN-001L-ICU-01ICU - North2024-05-29T07:15:00Z2024-05-29T15:45:00Z2024-05-29T16:00:00Z2024-05-29T17:25:00Z85cleaningblankRoutine cleaning after patient use
DV-0002available290falseMediSensepatient monitorMS-PM-200MS-PM-002L-ICU-02ICU - South2024-05-28T08:05:00Z2024-05-28T12:55:00Z2024-05-28T13:05:00Z2024-05-28T13:30:00Z25testingblankQuick test after usage
DV-0003available95falseMedFlowinfusion pumpMF-IP-300MF-IP-003L-ICU-03ICU - East2024-06-02T09:30:00Z2024-06-02T11:05:00Z2024-06-02T11:15:00Z2024-06-02T11:35:00Z20cleaningblankRoutine cleaning
DV-0004under-maintenance10trueHeartStartdefibrillatorHS-DEF-120HS-DEF-004L-ER-01ER - Main2024-05-30T10:50:00Z2024-05-30T11:00:00Z2024-05-30T11:10:00Z2024-05-30T11:40:00Z30malfunction2024-05-30T13:05:00ZBattery replaced, tested by engineering
DV-0005in-use30falseMediSensepulse oximeterMS-PO-220MS-PO-005L-ER-02ER - West2024-06-01T08:20:00Z2024-06-01T08:50:00Zblankblankblankblankblankblank
DV-0006available80falseCardioProECG monitorCP-ECG-500CP-ECG-006L-OPD-01OPD - Cardiology2024-06-06T13:00:00Z2024-06-06T14:20:00Z2024-06-06T14:30:00Z2024-06-06T14:45:00Z15testingblankQuick test after usage
DV-0007available420falseRenalWorksdialysis machineRW-DM-400RW-DM-007L-RENAL-01Renal Unit - Room 12024-06-04T07:45:00Z2024-06-04T14:45:00Z2024-06-04T15:00:00Z2024-06-04T15:30:00Z30cleaningblankRoutine cleaning
DV-0008under-maintenance285trueAnesthioanesthesia machineAN-AM-800AN-AM-008L-OR-01Operating Room 12024-05-31T09:00:00Z2024-05-31T13:45:00Z2024-05-31T14:00:00Z2024-05-31T16:00:00Z120maintenance2024-05-31T17:45:00ZMajor part replaced, deep cleaning

What the 200 rows show

from the 200-row sample

Under-maintenance (asset status) stands out: 34 of its 34 rows have maintenance_required = true, against 3 of 166 for the rest.

  • 19%maintenance_required = true
  • 120median usage_duration_minutes
  • 4downtime reasons
  • 8device types
  • 30median downtime_duration_minutes
Maintenance required rate by asset_statusmaintenance_required = true
0%50%100%0%available0 of 990%in-use0 of 64100%under-ma…34 of 34100%out-of-s…3 of 3
usage_duration_minutes200 rows, in bands of 100
05010094111144269140400800usage_duration_minutes →

Median 120, from 0 to 720.

manufacturer182 rows with a value · 18 left blank
  1. MediSense40
  2. CompuMed29
  3. MedFlow25
  4. HeartStart25
  5. RenalWorks23
  6. Anesthio21
  7. CardioPro19
18 columns by typefrom the column list below
  • string 10
  • float 2
  • datetime 5
  • boolean 1

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 10 columns
device_idstringUnique identifier for the medical deviceuniqueDV-0001
device_typestringType or category of the medical device (e.g., ventilator, infusion pump)8 typesventilator
manufacturerstringName of the device manufacturer7 manufacturers · optionalCompuMed
model_numberstringManufacturer's model number for the deviceoptionalCM-VEN-500
serial_numberstringManufacturer-assigned serial number for the deviceunique · optionalCM-VEN-001
location_idstringUnique identifier for the clinical location or department where the device is usedL-ICU-01
location_namestringName of the clinical location or departmentoptionalICU - North
downtime_reasonstringReason for device downtime (e.g., maintenance, malfunction, cleaning)4 reasons · optionalcleaning
maintenance_notesstringAdditional notes or comments about maintenance performedoptionalQuick test after usage
asset_statusstringCurrent status of the device (e.g., available, in-use, under-maintenance, out-of-service)available · in-use · under-maintenance · out-of-serviceavailable
Numbers 2 columns
usage_duration_minutesfloatTotal duration of device usage in minutes0 or more · optional510
downtime_duration_minutesfloatTotal duration of device downtime in minutes0 or more · optional85
Dates and times 5 columns
usage_start_datetimedatetimeDate and time when device usage started2024-05-29T07:15:00Z
usage_end_datetimedatetimeDate and time when device usage endedoptional2024-05-29T15:45:00Z
downtime_start_datetimedatetimeDate and time when device downtime startedoptional2024-05-29T16:00:00Z
downtime_end_datetimedatetimeDate and time when device downtime endedoptional2024-05-29T17:25:00Z
maintenance_completed_datetimedatetimeDate and time when maintenance was completedoptional2024-05-30T13:05:00Z
True or false 1 column
maintenance_requiredbooleanIndicates if maintenance is required for the deviceoptionalfalse

Use it for

  • maintenance re…19%37 of 200 rowsmean usage duration m…246.4avai…131.0in-u…279.5unde…14.3out-…

    A healthcare dashboard

    The maintenance_required rate, usage_duration_minutes by asset_status and a breakdown of manufacturer. Excel, Power BI or Tableau.

  • Why do 37 of 200 rows have maintenance_required = true?

    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 devices with device_type, manufacturer and model_number to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset200 rows18 columns
Yours1,000 rows18 columnslocation_id: UK only

blueprint · medical-device-utilization-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 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 device ID and type
  • Track usage per procedure
  • Record downtime events
  • Flag underutilized devices
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
medical-device-utilization-dataset

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