Healthcare Clinic Wait Time Logs

This dataset provides detailed logs of patient wait times in healthcare clinics, capturing appointment types, time-of-day patterns, provider details, and patient satisfaction scores. It enables clinics to analyze workflow efficiency, identify bottlenecks, and improve patient experience by correlating wait times with satisfaction and operational factors.

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

Analyzing clinic workflow bottlenecks and optimizing staff schedules

Sample rows

preview · 8 of 200 rows · all 17 columns
log_idintegerappointment_typestringwait_time_minutesfloatprovider_namestringclinic_idintegerclinic_namestringappointment_idintegerpatient_idintegerscheduled_timedatetimearrival_timedatetimecheck_in_timedatetimeseen_by_provider_timedatetimetime_of_daystringday_of_weekstringprovider_idintegernotesstringpatient_satisfaction_scorefloat
1checkup4Dr. Emily Park101Downtown Family Health1000150012024-06-03T08:15:002024-06-03T08:05:002024-06-03T08:10:002024-06-03T08:14:00morningMonday321Routine visit9.7
2checkup8Dr. Samuel Lin102Urban Pediatrics Center1000250022024-06-05T09:00:002024-06-05T08:50:002024-06-05T08:55:002024-06-05T09:03:00morningWednesday322Patient arrived early9.3
3consultation19Dr. Linda Chavez103General Medical Clinic1000350032024-06-04T14:30:002024-06-04T14:20:002024-06-04T14:23:002024-06-04T14:42:00afternoonTuesday323Provider busy with prior patient5.2
4consultation27Dr. Monica Patel104Women's Health Center1000450042024-06-06T15:45:002024-06-06T15:34:002024-06-06T15:38:002024-06-06T16:05:00afternoonThursday324Interpreter needed4.8
5emergency2Dr. Aisha Brown105Regional Hospital1000550052024-06-08T23:15:002024-06-08T23:12:002024-06-08T23:13:002024-06-08T23:15:00nightSaturday325Critical emergency10
6follow-up49Dr. Robert Kim106Med Center South1000650062024-06-07T18:00:002024-06-07T17:54:002024-06-07T17:57:002024-06-07T18:46:00eveningFriday326Provider running behind2.9
7follow-up60Dr. Monica Patel104Women's Health Center1000750072024-06-08T19:30:002024-06-08T19:25:002024-06-08T19:28:002024-06-08T20:28:00eveningSaturday324Heavy walk-in volume1.5
8emergency27Dr. Michael Evans107Urgent Care West1000850082024-06-09T02:10:002024-06-09T02:08:002024-06-09T02:09:002024-06-09T02:36:00nightSunday327Staff shortage2.1

What the 200 rows show

from the 200-row sample

Follow-up (appointment type) stands out: mean wait_time_minutes is 53.1, against 12.0 for the rest.

  • 15median wait_time_minutes
  • 4time of days
  • 7day of weeks
  • 26clinic names
  • 43noteses
  • 7.0median patient_satisfaction_score
Mean wait_time_minutes by appointment_type200 rows
040803.6checkup54 rows53.1follow…36 rows10.0emerge…43 rows19.5consul…44 rows20.9other23 rows
wait_time_minutes200 rows, in bands of 10
040808038401091551205090wait_time_minutes →

Median 15, from 1 to 89.

provider_name200 rows · top 10 of 27 values
  1. Dr. Brian Yu11
  2. Dr. Samuel Patel10
  3. Dr. Evelyn Gomez10
  4. Dr. Priya Sharma10
  5. Dr. Alexandra Chen9
  6. Dr. Priya Narang8
  7. Dr. Marcus Lee8
  8. Dr. Emily Chen8
  9. Dr. Maya Leung8
  10. Dr. Sean Castillo8
17 columns by typefrom the column list below
  • string 6
  • integer 5
  • float 2
  • datetime 4

Columns

17 columns in three groups
blueprint · 17 columns
columntypedescriptionexample
Text 6 columns
clinic_namestringName of the healthcare clinicDowntown Family Health
appointment_typestringType of appointment (e.g., checkup, follow-up, emergency, consultation)checkup · follow-up · emergency · consultation · othercheckup
time_of_daystringCategorized time of day for the appointment (e.g., morning, afternoon, evening)morning · afternoon · evening · nightmorning
day_of_weekstringDay of the week for the appointment (e.g., Monday, Tuesday)7 valuesMonday
provider_namestringName of the healthcare providerDr. Emily Park
notesstringAdditional notes or comments about the appointment or wait timeoptionalRoutine visit
Numbers 7 columns
log_idintegerUnique identifier for each wait time log entryunique · 1 or more1
clinic_idintegerUnique identifier for the clinic where the appointment occurred1 or more101
appointment_idintegerUnique identifier for the patient appointmentunique · 1 or more10001
patient_idintegerUnique identifier for the patient1 or more5001
wait_time_minutesfloatTotal wait time in minutes from check-in to being seen by provider0 or more4
provider_idintegerUnique identifier for the healthcare provider who saw the patient1 or more321
patient_satisfaction_scorefloatPatient-reported satisfaction score for the appointment (0-10 scale)0 to 10 · optional9.7
Dates and times 4 columns
scheduled_timedatetimeScheduled start time of the appointment2024-06-03T08:15:00
arrival_timedatetimeActual arrival time of the patient at the clinic2024-06-03T08:05:00
check_in_timedatetimeTime when the patient checked in at the clinic reception2024-06-03T08:10:00
seen_by_provider_timedatetimeTime when the patient was first seen by the healthcare provider2024-06-03T08:14:00

Use it for

  • median wait ti…15200 rowsmean wait time minute…3.6chec…53.1foll…10.0emer…19.5cons…

    A healthcare dashboard

    Wait_time_minutes by appointment_type and a breakdown of provider_name. Excel, Power BI or Tableau.

  • Why do the 36 follow-up rows have a mean wait_time_minutes of 53.1?

    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 rows with clinic_id, clinic_name and appointment_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 17 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows17 columns
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blueprint · healthcare-clinic-wait-time-logs

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 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
  • Track wait times per appointment
  • Segment by clinic location
  • Flag excessive wait periods
  • Include staff availability metrics
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
healthcare-clinic-wait-time-logs

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