Hospital Resource Utilization Dataset

This dataset provides granular, time-stamped records of hospital resource utilization, including beds, staff, and equipment across departments and shifts. It enables detailed analysis and forecasting for operational planning, surge management, and cost optimization, making it ideal for AI-driven resource allocation and healthcare analytics. The dataset supports both real-time monitoring and historical trend analysis for improved hospital efficiency.

  • opened 17 times
  • last updated 22 Jul 2025
  • by GoMask
The brief that made it

Forecasting hospital bed, staff, and equipment requirements

Sample rows

preview · 8 of 200 rows · all 18 columns
record_idstringresource_typestringunit_costfloathospital_namestringhospital_idstringdepartmentstringresource_subtypestringdatedateshiftstringresource_capacityintegerresource_in_useintegerresource_availableintegerforecasted_demandintegersurge_capacityintegerutilization_ratefloattotal_costfloatlast_updateddatetimenotesstring
REC0001bed8500Green Valley Medical CenterH001ICUICU Bed2024-06-01morning3028231380.9332380002024-06-01T08:45:12Near full occupancy, surge likely needed.
REC0002nurse72.5Riverside General HospitalH002EmergencyER Nurse2024-06-01afternoon1213014151.083942.52024-06-01T13:22:59Overutilization: staff covering multiple roles.
REC0003doctor315Northside Regional HealthH003SurgerySurgeon2024-06-01afternoon761780.85718902024-06-01T15:03:21All scheduled procedures covered.
REC0004PPE1.75Sunrise Children's HospitalH004PediatricsChild Surgical Mask2024-06-01morning80025055026012000.313437.52024-06-01T09:30:00Stocked in advance for seasonal spikes.
REC0005ventilator11500Central City Medical CampusH005ICULifeSupport Ventilator2024-06-01night109110130.91035002024-06-01T22:02:18All ventilators in use except one on standby.
REC0006PPE2.2Green Valley Medical CenterH001EmergencyN95 Mask2024-06-01night12001000200110015000.83322002024-06-01T23:55:35Critical low stock, resupply ordered.
REC0007nurse80Riverside General HospitalH002ICUICU Nurse2024-06-01morning181801920114402024-06-01T06:58:41All ICU nurses on shift, full occupancy.
REC0008monitor1250Northside Regional HealthH003SurgeryCardiac Monitor2024-06-01afternoon422350.525002024-06-01T16:37:55No equipment failures reported.

What the 200 rows show

from the 200-row sample

Other (resource type) stands out: mean unit_cost is 1,097,376, against 3,696 for the rest.

  • 305.0median unit_cost
  • 4departments
  • 4shifts
  • 30hospitals
  • 11median resource_capacity
  • 10median resource_in_use
Mean unit_cost by resource_type200 rows
01M2M7,841bed29 r…12,037ven…15 r…73.0nur…40 r…285.8doc…35 r…2.5PPE42 r…1,979mon…19 r…72,583res…3 ro…1.1Moth…17 r…
unit_cost200 rows, in bands of 250k
010020019200000003501.3M2.5Munit_cost →

Median 305.0, from 0.85 to 2,500,000.

hospital_name200 rows · top 10 of 39 values
  1. Green Valley Medical Center13
  2. Riverside General Hospital6
  3. Northside Regional Health6
  4. Sunrise Children's Hospital6
  5. Central City Medical Campus6
  6. Oakridge Regional Hospital6
  7. Southside Memorial Clinic6
  8. Cedar Valley Medical Center6
  9. Harborview Healthcare Center6
  10. Cityview Medical Pavilion6
18 columns by typefrom the column list below
  • string 8
  • integer 5
  • float 3
  • date 1
  • datetime 1

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 8 columns
record_idstringUnique identifier for each resource utilization recorduniqueREC0001
hospital_idstringUnique identifier for the hospitalH001
hospital_namestringName of the hospitalSummit Hills Hospital
departmentstringHospital department (e.g., ICU, Emergency, Surgery, Pediatrics)4 departmentsICU
resource_typestringType of resource (e.g., bed, ventilator, nurse, doctor, PPE)8 valuesbed
resource_subtypestringSubtype or specification of the resource (e.g., ICU bed, surgical nurse, N95 mask)optionalICU Bed
shiftstringWork shift (e.g., morning, afternoon, night)morning · afternoon · night · full_day · optionalmorning
notesstringAdditional notes or comments about resource utilizationoptionalStocked in advance.
Numbers 8 columns
resource_capacityintegerTotal number of this resource available in the department on the given date and shift0 or more30
resource_in_useintegerNumber of this resource currently in use0 or more28
resource_availableintegerNumber of this resource currently available for use0 or more2
forecasted_demandintegerForecasted demand for this resource for the given date and shift0 or more · optional31
surge_capacityintegerMaximum number of this resource that can be made available in a surge scenario0 or more · optional38
utilization_ratefloatPercentage of resource in use (resource_in_use/resource_capacity)0 to 1 · optional0.933
unit_costfloatCost per unit of the resource (in local currency)0 or more · optional8500
total_costfloatTotal cost for the resource in use (resource_in_use * unit_cost)0 or more · optional238000
Dates and times 2 columns
datedateDate for which the resource utilization is recorded2024-06-01
last_updateddatetimeTimestamp when the record was last updated2024-06-01T08:45:12

Use it for

  • median unit co…305.0200 rowsmean unit cost by res…7.8kbed12kvent…73.0nurse285.8doct…

    A healthcare dashboard

    Unit_cost by resource_type and a breakdown of hospital_name. Excel, Power BI or Tableau.

  • Why do the 17 other rows have a mean unit_cost of 1,097,376?

    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 records with hospital_id, hospital_name and department to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 18 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 rows18 columns
Yours1,000 rows18 columns

blueprint · hospital-resource-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
  • Admissions fluctuate with seasonality
  • Intensive care units have limited capacity
  • Equipment utilization peaks during outbreaks
  • Staff schedules adhere to labor rules
  • Elective surgeries affect resource demand
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
hospital-resource-utilization-dataset

What should your data show?

Preview 20 rows free
No signup. No card.