Hospital Bed Turnover Rates

This dataset provides detailed records of hospital bed assignments and releases, including timing, department, bed type, turnover reasons, and cleaning status. It enables healthcare administrators to analyze bed utilization, optimize patient flow, and improve resource planning. The data supports operational efficiency studies and strategic decision-making in hospital management.

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

Analyzing hospital bed utilization and turnover rates for operational efficiency

Sample rows

preview · 8 of 60 rows · all 14 columns
record_idstringbed_status_after_releasestringlength_of_stay_hoursfloatcleaning_requiredbooleanhospital_idstringhospital_namestringdepartmentstringbed_idstringbed_typestringassignment_datetimedatetimerelease_datetimedatetimepatient_idstringturnover_reasonstringcleaning_completed_datetimedatetime
REC0001Available74.08trueHSP001Green Valley Medical CenterICUICU-BED-01ICU2024-04-01T08:15:002024-04-04T10:20:00PAT-1001Discharge2024-04-04T12:00:00
REC0002Available150.38trueHSP001Green Valley Medical CenterGeneral SurgeryGS-BED-03Standard2024-04-02T09:10:002024-04-08T14:33:00PAT-1002Discharge2024-04-08T16:00:00
REC0003Available93.75trueHSP002Eastside Regional HospitalPediatricsPED-BED-02Pediatric2024-04-03T13:45:002024-04-07T11:30:00PAT-2001Transfer2024-04-07T13:00:00
REC0004Available50.5trueHSP003Lakeside Community HospitalMaternityMAT-BED-05Maternity2024-04-04T07:30:002024-04-06T10:00:00PAT-3003Discharge2024-04-06T11:30:00
REC0005Available35trueHSP002Eastside Regional HospitalICUICU-BED-03ICU2024-04-03T19:00:002024-04-05T06:00:00PAT-2002Death2024-04-05T08:00:00
REC0006Reserved6falseHSP003Lakeside Community HospitalGeneral SurgeryGS-BED-04Standard2024-04-02T14:00:002024-04-02T20:00:00PAT-3004Transferblank
REC0007Available51.33trueHSP002Eastside Regional HospitalICUICU-BED-04ICU2024-04-01T12:00:002024-04-03T15:20:00PAT-2003Discharge2024-04-03T18:00:00
REC0008Available72trueHSP001Green Valley Medical CenterPediatricsPED-BED-05Pediatric2024-04-05T09:30:002024-04-08T09:30:00PAT-1005Cleaning2024-04-08T10:30:00

What the 60 rows show

from the 60-row sample

Available (bed status after release) stands out: mean length_of_stay_hours is 52.8, against 29.1 for the rest.

  • 70%cleaning_required = true
  • 48.8median length_of_stay_hours
  • 4bed types
  • 5turnover reasons
  • 8departments
  • 10hospital names
Mean length_of_stay_hours by bed_status_after_release60 rows
0408052.8Available44 rows38.7Under Mainte…7 rows21.6Reserved9 rows
length_of_stay_hours60 rows, in bands of 20
0816111416143101080160length_of_stay_hours →

Median 48.8, from 4.8 to 150.4.

hospital_id60 rows · 10 values
  1. HSP00110
  2. HSP00210
  3. HSP00310
  4. HSP1045
  5. HSP1075
  6. HSP1085
  7. HSP1024
  8. HSP1064
  9. HSP1054
  10. HSP1033
14 columns by typefrom the column list below
  • string 9
  • float 1
  • datetime 3
  • boolean 1

Columns

14 columns in four groups
blueprint · 14 columns
columntypedescriptionexample
Text 9 columns
record_idstringUnique identifier for each bed turnover event recorduniqueREC0001
hospital_idstringUnique identifier for the hospital where the bed turnover occurred10 hospitalsHSP001
hospital_namestringName of the hospital10 namesSunrise Medical Center
departmentstringHospital department or ward where the bed is located (e.g., ICU, General Surgery, Pediatrics)8 departmentsICU
bed_idstringUnique identifier for the specific hospital bedICU-BED-01
bed_typestringType of bed (e.g., Standard, ICU, Pediatric, Maternity)4 typesICU
patient_idstringUnique identifier for the patient assigned to the bed (can be anonymized)optionalPAT-1001
turnover_reasonstringReason for bed turnover (e.g., Discharge, Transfer, Death, Cleaning)Discharge · Transfer · Death · Cleaning · OtherDischarge
bed_status_after_releasestringStatus of the bed after release (e.g., Available, Under Maintenance, Reserved)Available · Under Maintenance · ReservedAvailable
Numbers 1 column
length_of_stay_hoursfloatCalculated length of stay in hours for the bed assignment (release_datetime - assignment_datetime)0 or more74.08
Dates and times 3 columns
assignment_datetimedatetimeDate and time when the bed was assigned to a patient2024-04-01T08:15:00
release_datetimedatetimeDate and time when the bed was released (patient discharged or transferred)2024-04-04T10:20:00
cleaning_completed_datetimedatetimeDate and time when cleaning was completed (if applicable)optional2024-04-04T12:00:00
True or false 1 column
cleaning_requiredbooleanIndicates if cleaning was required before the next assignmenttrue

Use it for

  • cleaning requi…70%42 of 60 rowsmean length of stay h…52.8Availa…38.7Under …21.6Reserv…

    A healthcare dashboard

    The cleaning_required rate, length_of_stay_hours by bed_status_after_release and a breakdown of hospital_id. Excel, Power BI or Tableau.

  • Why do the 44 Available rows have a mean length_of_stay_hours of 52.8?

    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.

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blueprint · hospital-bed-turnover-rates

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 14 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
  • Record admission and discharge dates
  • Beds must be uniquely identified
  • Calculate average turnover time
  • Highlight beds with >30% occupancy drop
  • Flag prolonged stays exceeding 14 days
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
hospital-bed-turnover-rates

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