Telehealth Session Engagement Metrics

This dataset provides detailed, anonymized metrics from virtual healthcare sessions, including session timing, wait times, patient engagement actions, device usage, connection quality, and post-session feedback. It enables robust analysis of telehealth utilization, patient experience, and operational efficiency, supporting quality improvement and research in digital health delivery.

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

Analyze patient engagement and satisfaction in telehealth sessions

Sample rows

preview · 8 of 200 rows · all 15 columns
session_idstringdevice_typestringfeedback_ratingintegersession_completedbooleanpatient_idstringprovider_idstringsession_start_timedatetimesession_end_timedatetimesession_duration_secondsintegerpatient_wait_time_secondsintegerprovider_wait_time_secondsintegerpatient_actions_countintegerpatient_actions_typesstringconnection_quality_scorefloatfeedback_commentsstring
S000001desktop5trueP1001DR1012024-05-16T08:45:15Z2024-05-16T09:15:15Z180023014chat,message_upload,screen_share,file_download0.93Excellent service, very helpful and professional!
S000002tablet4trueP1002DR1022024-05-16T13:08:41Z2024-05-16T13:23:41Z900007chat,message_upload0.81Quick and easy session, thanks!
S000003mobile2trueP1003DR1032024-05-16T02:56:22Z2024-05-16T04:26:22Z54005801chat0.35Long wait and some technical issues.
S000004otherblankfalseP1004DR1042024-05-16T19:45:02Z2024-05-16T19:45:29Z27210blank0.11blank
S000005desktop5trueP1005DR1052024-05-16T17:15:13Z2024-05-16T17:55:13Z24000011chat,screen_share,message_upload0.92Very smooth session. Great experience.
S000006tabletblankfalseP1006DR1062024-05-16T11:32:27Z2024-05-16T11:32:30Z3000blank0.02blank
S000007desktop4trueP1007DR1072024-05-16T21:38:48Z2024-05-16T22:08:48Z18001708chat,screen_share0.85Everything worked well, thank you!
S000008otherblankfalseP1008DR1082024-05-16T17:21:18Z2024-05-16T17:22:18Z602900blank0.08blank

What the 200 rows show

from the 200-row sample

Mobile (device type) stands out: mean feedback_rating is 2.4, against 4.7 for the rest.

  • 75%session_completed = true
  • 5median feedback_rating
  • 900median session_duration_seconds
  • 0median patient_wait_time_seconds
  • 0median provider_wait_time_seconds
  • 6median patient_actions_count
Mean feedback_rating by device_type149 rows
0484.9desktop89 rows2.4mobile33 rows4.0tablet27 rows
feedback_rating149 rows, in bands of 0.5
04590301301703581135feedback_rating →

Median 5, from 1 to 5.

15 columns by typefrom the column list below
  • string 6
  • integer 5
  • float 1
  • datetime 2
  • boolean 1

Columns

15 columns in four groups
blueprint · 15 columns
columntypedescriptionexample
Text 6 columns
session_idstringUnique anonymized identifier for each telehealth sessionuniqueS000001
patient_idstringAnonymized unique identifier for the patient participating in the sessionP1001
provider_idstringAnonymized unique identifier for the healthcare provider conducting the sessionDR101
patient_actions_typesstringComma-separated list of distinct action types performed by the patient (e.g., 'chat,message_upload,screen_share')optionalchat,message_upload
device_typestringType of device used by the patient (e.g., 'desktop', 'mobile', 'tablet')desktop · mobile · tablet · other · optionaldesktop
feedback_commentsstringOptional free-text feedback provided by the patient after the sessionoptionalExcellent service, very h…
Numbers 6 columns
session_duration_secondsintegerTotal duration of the session in seconds0 or more1800
patient_wait_time_secondsintegerTime in seconds the patient waited before the provider joined the session0 or more23
provider_wait_time_secondsintegerTime in seconds the provider waited for the patient to join the session0 or more · optional0
patient_actions_countintegerTotal number of tracked actions performed by the patient during the session0 or more14
connection_quality_scorefloatAverage connection quality score during the session (0.0 = poor, 1.0 = excellent)0 to 1 · optional0.93
feedback_ratingintegerPatient's feedback rating for the session on a scale of 1-51 to 5 · optional5
Dates and times 2 columns
session_start_timedatetimeTimestamp indicating when the telehealth session started2024-05-16T08:45:15Z
session_end_timedatetimeTimestamp indicating when the telehealth session ended2024-05-16T09:15:15Z
True or false 1 column
session_completedbooleanIndicates whether the session was completed as scheduled (true) or ended prematurely (false)true

Use it for

  • session comple…75%149 of 200 rowsmean feedback rating …4.9desktop2.4mobile4.0tablet

    A healthcare dashboard

    The session_completed rate and feedback_rating by device_type. Excel, Power BI or Tableau.

  • Why do the 33 mobile rows have a mean feedback_rating of 2.4?

    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 sessions with patient_id, provider_id and session_start_time to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows15 columns
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blueprint · telehealth-session-engagement-metrics

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.

Rules it was built with
  • Each session includes patient and provider IDs.
  • Duration, wait time, and action counts logged.
  • Patient satisfaction rating optional.
  • Session type (video/voice/text) specified.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
telehealth-session-engagement-metrics

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