Emergency Department Resource Allocation

This dataset provides detailed, shift-level resource allocation and patient throughput metrics for emergency departments across hospitals. It includes staffing levels, bed usage, supply availability, patient flow statistics, and operational notes, enabling hospitals to optimize staffing and supply decisions, identify bottlenecks, and improve emergency care efficiency.

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

Optimizing emergency department staffing and scheduling

Sample rows

preview · 8 of 200 rows · all 25 columns
ed_idstringaddress_countrystringaverage_wait_time_minutesfloatresource_shortages_flagbooleanshift_typestringhospital_idstringhospital_namestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringreport_datedatestaff_physicians_countintegerstaff_nurses_countintegerstaff_support_countintegerbed_count_totalintegerbed_count_occupiedintegerpatient_arrivals_countintegerpatient_admitted_countintegerpatient_discharged_countintegerpatient_left_without_being_seen_countintegeraverage_length_of_stay_minutesfloatcritical_supplies_availableintegercritical_supplies_usedintegernotesstring
ED001USA51.2truedayHOSP001Central University Hospital123 Main StBostonMA021152024-06-0110241340389536554254.8850380Resource shortage due to marathon surge, extra PPE required
ED002USA44.1falseeveningHOSP002Urban Trauma Center456 Elm AveNew YorkNY100322024-06-019221238348932516210.6800299blank
ED003USA37.5falsenightHOSP003Midtown General Hospital789 Oak RdChicagoIL606102024-06-018201136307428433186.7700142blank
ED004USA35.2falsedayHOSP004Suburban Regional Medical Center321 Pine StRaleighNC276072024-06-017161028256214453154.9380112blank
ED005USA9.3falseeveningHOSP005Rural Care Clinic17 Maple LaneBozemanMT597182024-06-01242851228247.2226Routine shift
ED006Canada23.5falsenightHOSP006Halifax General Hospital1101 South StHalifaxNSB3H 2Y92024-06-01513724184110301118.617047blank
ED007Canada56.5truedayHOSP007Toronto General Hospital200 Elizabeth StTorontoONM5G 2C42024-06-01112714444211039683280.5990370Critical supply shortage, mass casualty event downtown
ED008USA28.6falseeveningHOSP008Green Valley Medical Center75 Willow DrDenverCO802212024-06-01615822174711342108.521062blank

What the 200 rows show

from the 200-row sample
  • 13%resource_shortages_flag = true
  • 25.1median average_wait_time_minutes
  • 45address states
  • 5median staff_physicians_count
  • 13median staff_nurses_count
  • 8median staff_support_count
address_country200 rows by value
080160160USA80%40Canada20%
average_wait_time_minutes200 rows, in bands of 10
0255037503426302303060average_wait_time_minutes →

Median 25.1, from 0.0 to 59.7.

shift_type200 rows · 3 values
  1. day81
  2. evening60
  3. night59
25 columns by typefrom the column list below
  • string 10
  • integer 11
  • float 2
  • date 1
  • boolean 1

Columns

25 columns in four groups
blueprint · 25 columns
columntypedescriptionexample
Text 10 columns
ed_idstringUnique identifier for the emergency department location or unituniqueED001
hospital_idstringUnique identifier for the hospitalHOSP001
hospital_namestringName of the hospitalUrban Trauma Center
address_streetstringStreet address of the hospital123 Main St
address_citystringCity where the hospital is locatedBoston
address_statestringState or province of the hospitalMA
address_postal_codestringPostal code of the hospital02115
address_countrystringCountry where the hospital is located2 countriesUSA
shift_typestringType of shift (e.g., day, evening, night)day · evening · nightday
notesstringAdditional notes or comments for the shift (e.g., unusual events, surge conditions)optionalRoutine shift
Numbers 13 columns
staff_physicians_countintegerNumber of physicians scheduled for the shift0 or more10
staff_nurses_countintegerNumber of nurses scheduled for the shift0 or more24
staff_support_countintegerNumber of support staff (e.g., technicians, clerks) scheduled for the shift0 or more13
bed_count_totalintegerTotal number of ED beds available during the shift0 or more40
bed_count_occupiedintegerNumber of ED beds occupied during the shift0 or more38
patient_arrivals_countintegerNumber of patients arriving during the shift0 or more95
patient_admitted_countintegerNumber of patients admitted to hospital from ED during the shift0 or more36
patient_discharged_countintegerNumber of patients discharged from ED during the shift0 or more55
patient_left_without_being_seen_countintegerNumber of patients who left ED without being seen during the shift0 or more4
average_wait_time_minutesfloatAverage patient wait time in minutes during the shift0 or more51.2
average_length_of_stay_minutesfloatAverage length of stay for patients in minutes during the shift0 or more254.8
critical_supplies_availableintegerNumber of critical supply units (e.g., PPE, medications) available at shift start0 or more850
critical_supplies_usedintegerNumber of critical supply units used during the shift0 or more380
Dates and times 1 column
report_datedateDate of resource allocation and throughput report2024-06-01
True or false 1 column
resource_shortages_flagbooleanIndicates if any resource shortages occurred during the shifttrue

Use it for

  • resource short…13%25 of 200 rowsmean average wait tim…26.2USA28.4Canada

    A healthcare dashboard

    The resource_shortages_flag rate, average_wait_time_minutes by address_country and a breakdown of shift_type. Excel, Power BI or Tableau.

  • Why do 25 of 200 rows have resource_shortages_flag = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 200 rows.

  • A software demo

    Believable eds with hospital_id, hospital_name and address_street to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows25 columns
Yours1,000 rows25 columnsaddress_street: UK only

blueprint · emergency-department-resource-allocation

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 25 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 patient arrival and triage data
  • Include resource usage per case
  • Track wait and treatment times
  • Flag resource shortages
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
emergency-department-resource-allocation

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