Medical Device Usage Patterns
This dataset provides a comprehensive view of medical device usage across healthcare facilities, detailing allocation, utilization rates, breakdown events, and maintenance scheduling. It enables healthcare organizations to optimize device deployment, improve maintenance efficiency, and reduce downtime, supporting data-driven decisions for patient care and operational excellence.
Sample rows
preview · 8 of 200 rows · all 15 columns| device_idstring | utilization_ratefloat | is_operationalboolean | manufacturerstring | device_typestring | installation_datedate | location_departmentstring | last_maintenance_datedate | next_scheduled_maintenancedate | breakdown_event_countinteger | last_breakdown_datedate | average_repair_time_hoursfloat | scheduled_usage_start_timedatetime | scheduled_usage_end_timedatetime | maintenance_notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MD-0001 | 82.3 | true | Siemens | MRI Scanner | 2018-05-12 | Radiology | 2024-03-15 | 2024-09-10 | 2 | 2024-03-15 | 5.2 | 2024-06-14T08:00:00 | 2024-06-14T16:00:00 | Routine check performed; minor calibration needed. |
| MD-0002 | 67.8 | true | GE Healthcare | X-Ray Machine | 2021-11-23 | Orthopedics | 2024-04-18 | 2024-10-20 | 0 | blank | blank | 2024-06-14T10:00:00 | 2024-06-14T13:00:00 | blank |
| MD-0003 | 91.1 | true | Philips | CT Scanner | 2019-07-04 | Emergency | 2024-05-01 | 2024-07-29 | 1 | 2024-05-01 | 3.6 | 2024-06-14T07:30:00 | 2024-06-14T15:30:00 | Replaced cooling fan during last maintenance. |
| MD-0004 | 79.4 | true | Canon Medical | Ultrasound | 2020-02-21 | Obstetrics | 2023-12-09 | 2024-06-20 | 0 | blank | blank | 2024-06-14T09:00:00 | 2024-06-14T17:00:00 | Probe calibration scheduled next cycle. |
| MD-0005 | 56.6 | true | Baxter | Infusion Pump | 2022-10-14 | Oncology | 2024-05-22 | 2024-11-22 | 0 | blank | blank | 2024-06-14T12:00:00 | 2024-06-14T16:00:00 | blank |
| MD-0006 | 31.2 | true | Zoll | Defibrillator | 2017-08-09 | Cardiology | 2024-04-11 | 2024-08-11 | 1 | 2024-04-11 | 2.7 | 2024-06-14T11:00:00 | 2024-06-14T14:00:00 | Battery replaced after last breakdown. |
| MD-0007 | 98.6 | true | Mindray | Patient Monitor | 2021-03-15 | ICU | 2024-05-17 | 2024-11-17 | 4 | 2024-05-17 | 6.1 | 2024-06-14T00:00:00 | 2024-06-14T23:59:00 | Frequent alarm triggers; sensors checked. |
| MD-0008 | 95.4 | true | Dräger | Ventilator | 2020-06-06 | ICU | 2024-01-30 | 2024-07-30 | 3 | 2024-01-30 | 4.8 | 2024-06-14T00:00:00 | 2024-06-14T23:59:00 | Circuit replacement completed. |
| MD-0009 | 63.3 | true | Nihon Kohden | ECG Machine | 2016-12-18 | Cardiology | 2024-03-24 | 2024-09-24 | 0 | blank | blank | 2024-06-14T09:30:00 | 2024-06-14T17:30:00 | blank |
| MD-0010 | 77.5 | true | Fresenius | Dialysis Machine | 2022-01-04 | Nephrology | 2024-04-05 | 2024-10-05 | 2 | 2024-04-05 | 4.1 | 2024-06-14T07:00:00 | 2024-06-14T19:00:00 | Filter replaced; minor software update. |
| MD-0011 | 88.7 | true | Stryker | Surgical Light | 2015-04-20 | Surgery | 2024-03-10 | 2024-09-10 | 0 | blank | blank | 2024-06-14T07:00:00 | 2024-06-14T17:00:00 | Bulb tested; no issues. |
| MD-0012 | 48.1 | true | Smiths Medical | Infusion Pump | 2023-08-12 | Pediatrics | 2024-05-09 | 2024-11-09 | 0 | blank | blank | 2024-06-14T13:00:00 | 2024-06-14T17:00:00 | blank |
| MD-0013 | 74.9 | true | GE Healthcare | Anesthesia Machine | 2018-10-18 | Surgery | 2024-03-12 | 2024-09-12 | 1 | 2024-03-12 | 3.8 | 2024-06-14T07:00:00 | 2024-06-14T15:00:00 | Gas leak fixed after last breakdown. |
| MD-0014 | 83.2 | true | Philips | Ultrasound | 2021-05-29 | Obstetrics | 2024-02-27 | 2024-08-27 | 2 | 2024-02-27 | 2.9 | 2024-06-14T09:00:00 | 2024-06-14T17:00:00 | Probe replaced after last breakdown. |
| MD-0015 | 90.5 | true | Medtronic | Ventilator | 2019-12-01 | Pulmonology | 2024-05-25 | 2024-11-25 | 1 | 2024-05-25 | 4.4 | 2024-06-14T00:00:00 | 2024-06-14T23:59:00 | Airflow sensor recalibrated. |
| MD-0016 | 73.6 | true | Hillrom | Surgical Table | 2016-06-17 | Surgery | 2024-04-02 | 2024-10-02 | 0 | blank | blank | 2024-06-14T07:00:00 | 2024-06-14T17:00:00 | blank |
| MD-0017 | 46.9 | true | Philips | Defibrillator | 2020-09-23 | Emergency | 2024-05-12 | 2024-11-12 | 2 | 2024-05-12 | 2.4 | 2024-06-14T11:00:00 | 2024-06-14T14:00:00 | Pads replaced during last repair. |
| MD-0018 | 99.1 | true | GE Healthcare | Patient Monitor | 2017-11-08 | ICU | 2024-05-23 | 2024-11-23 | 5 | 2024-05-23 | 7 | 2024-06-14T00:00:00 | 2024-06-14T23:59:00 | Electrode lead replacement scheduled. |
| MD-0019 | 59.7 | true | Siemens | X-Ray Machine | 2019-03-30 | Orthopedics | 2024-01-14 | 2024-07-14 | 1 | 2024-01-14 | 3.2 | 2024-06-14T10:00:00 | 2024-06-14T14:00:00 | Tube replaced after last breakdown. |
| MD-0020 | 87.4 | true | Philips | MRI Scanner | 2020-07-21 | Radiology | 2024-03-28 | 2024-09-28 | 0 | blank | blank | 2024-06-14T08:00:00 | 2024-06-14T18:00:00 | Software version updated. |
What the 200 rows show
from the 200-row sample- 100%is_
operational = true - 78.5median utilization_
rate - 15location departments
- 18device types
- 1median breakdown_
event_ count - 2.7median average_
repair_ time_ hours
Median 78.5, from 31.2 to 99.5.
- string 5
- integer 1
- float 2
- date 4
- datetime 2
- boolean 1
Columns
15 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 5 columns | |||
device_id | string | Unique identifier for each medical deviceunique | MD-0001 |
device_type | string | Type or model of the medical device | MRI Scanner |
manufacturer | string | Name of the device manufacturer | Siemens |
location_department | string | Hospital or clinic department where the device is located | Radiology |
maintenance_notes | string | Free-text notes regarding maintenance or breakdown eventsoptional | Bulb tested; no issues. |
| Numbers 3 columns | |||
utilization_rate | float | Percentage of time the device is in active use (0-100)0 to 100 | 82.3 |
breakdown_event_count | integer | Total number of breakdown or failure events recorded for the device0 or more | 2 |
average_repair_time_hours | float | Average time (in hours) taken to repair the device after breakdowns0 or more · optional | 5.2 |
| Dates and times 6 columns | |||
installation_date | date | Date the device was installed or commissioned | 2018-05-12 |
last_maintenance_date | date | Date of the most recent maintenance performed on the deviceoptional | 2024-03-15 |
next_scheduled_maintenance | date | Date of the next scheduled maintenance for the deviceoptional | 2024-09-10 |
last_breakdown_date | date | Date of the most recent breakdown eventoptional | 2024-03-15 |
scheduled_usage_start_time | datetime | Scheduled start time for device usage (if applicable)optional | 2024-06-14T08:00:00 |
scheduled_usage_end_time | datetime | Scheduled end time for device usage (if applicable)optional | 2024-06-14T16:00:00 |
| True or false 1 column | |||
is_operational | boolean | Indicates whether the device is currently operational | true |
Use it for
A healthcare dashboard
The is_
operational rate, utilization_ rate and a breakdown of manufacturer. Excel, Power BI or Tableau. Why do 199 of 200 rows have is_
operational = true? A class exercise
Hand out the rows and one question. Everyone works from the same 200 rows.
- Devices200MD-000182.3trueMD-000267.8trueMD-2024-051165.8false
A software demo
Believable devices with device_
type, manufacturer and installation_ date to fill a screen in front of a buyer.
blueprint · medical-device-usage-patterns
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.
- Device ID and type tracked
- Usage hours recorded daily
- Maintenance and breakdown events logged
- Departmental allocation included
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-usage-patterns