Healthcare Telemedicine Session Logs
This dataset provides detailed, session-level logs of virtual healthcare visits, including session timing, medical specialty, technical issues encountered, and patient feedback. It enables comprehensive analysis of telemedicine operations, quality of care, and technical performance, supporting optimization of virtual healthcare delivery and patient satisfaction.
Sample rows
preview · 8 of 200 rows · all 22 columns| session_idstring | visit_typestring | session_duration_minutesfloat | technical_issues_occurredboolean | patient_location_statestring | patient_idstring | provider_idstring | session_start_timedatetime | session_end_timedatetime | specialtystring | platformstring | connection_typestring | technical_issue_typestring | session_statusstring | patient_location_citystring | patient_location_countrystring | provider_location_citystring | provider_location_statestring | provider_location_countrystring | patient_feedback_ratinginteger | technical_issue_descriptionstring | patient_feedback_commentsstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S001 | routine_checkup | 35 | false | CO | P1001 | D2001 | 2023-03-15T08:02:00Z | 2023-03-15T08:37:00Z | general_practice | WellVid | video | none | completed | Denver | USA | Aurora | CO | USA | 5 | blank | Very helpful and convenient appointment. |
| S002 | initial_consultation | 35 | false | FL | P1002 | D2002 | 2023-05-18T16:13:00Z | 2023-05-18T16:48:00Z | dermatology | CareBridge | video | none | completed | Miami | USA | Orlando | FL | USA | 4 | blank | Good experience, clear video connection. |
| S003 | follow_up | 20 | false | TX | P1003 | D2003 | 2023-06-22T20:20:00Z | 2023-06-22T20:40:00Z | pediatrics | TeleHealthNow | video | none | completed | Dallas | USA | Houston | TX | USA | 5 | blank | Doctor was great with my child. |
| S004 | urgent_care | 1 | true | IL | P1004 | D2004 | 2023-07-09T10:31:00Z | 2023-07-09T10:32:00Z | psychiatry | MediConnect | audio | audio | disconnected | Chicago | USA | Chicago | IL | USA | 2 | Audio was cutting out, unable to hear provider. | Could not complete visit due to audio problems. |
| S005 | follow_up | 30 | false | CA | P1005 | D2005 | 2023-08-21T13:15:00Z | 2023-08-21T13:45:00Z | cardiology | DigitalCare | video | none | completed | San Jose | USA | Fresno | CA | USA | 5 | blank | Very informative and professional. |
| S006 | initial_consultation | 15 | true | ON | P1006 | D2006 | 2023-09-04T18:50:00Z | 2023-09-04T19:05:00Z | endocrinology | CareBridge | audio | connectivity | rescheduled | Toronto | Canada | Ottawa | ON | Canada | 3 | Connection dropped multiple times. | Had to reschedule due to poor connection. |
| S007 | routine_checkup | 45 | false | GA | P1007 | D2007 | 2023-10-10T11:00:00Z | 2023-10-10T11:45:00Z | gastroenterology | WellVid | video | none | completed | Atlanta | USA | Augusta | GA | USA | 4 | blank | Very smooth and easy to use platform. |
| S008 | other | 5 | true | KA | P1008 | D2008 | 2023-11-02T22:03:00Z | 2023-11-02T22:08:00Z | ophthalmology | TeleHealthNow | chat | software | rescheduled | Bangalore | India | Mumbai | MH | India | 2 | Unable to upload images via chat. | Could not send photos, had to try again. |
| S009 | routine_checkup | 60 | false | WC | P1009 | D2009 | 2023-12-18T07:30:00Z | 2023-12-18T08:30:00Z | psychiatry | CareBridge | video | none | completed | Cape Town | South Africa | Johannesburg | GT | South Africa | 5 | blank | Excellent session, as always. |
| S010 | urgent_care | 2 | true | blank | P1010 | D2010 | 2024-01-11T15:20:00Z | 2024-01-11T15:22:00Z | urology | DigitalCare | audio | audio | disconnected | London | UK | London | blank | UK | 1 | Echo and static made conversation difficult. | Audio issue, call dropped quickly. |
| S011 | routine_checkup | 30 | false | NSW | P1011 | D2011 | 2024-02-16T12:00:00Z | 2024-02-16T12:30:00Z | general_practice | WellVid | video | none | completed | Sydney | Australia | Melbourne | VIC | Australia | 5 | blank | Great consultation and clear advice. |
| S012 | follow_up | 30 | false | CA | P1012 | D2012 | 2024-03-05T09:10:00Z | 2024-03-05T09:40:00Z | cardiology | CareBridge | video | none | completed | Los Angeles | USA | San Diego | CA | USA | 4 | blank | Easy process, got all my questions answered. |
| S013 | urgent_care | 2 | true | WC | P1013 | D2013 | 2024-03-18T17:49:00Z | 2024-03-18T17:51:00Z | psychiatry | MediConnect | audio | connectivity | disconnected | Cape Town | South Africa | Durban | KZN | South Africa | 2 | Session disconnected unexpectedly. | Lost connection, could not finish session. |
| S014 | initial_consultation | 40 | false | BC | P1014 | D2014 | 2024-03-20T07:30:00Z | 2024-03-20T08:10:00Z | neurology | TeleHealthNow | video | none | completed | Vancouver | Canada | Calgary | AB | Canada | 4 | blank | Very efficient and helpful. |
| S015 | follow_up | 0 | false | blank | P1015 | D2015 | 2024-03-27T14:16:00Z | 2024-03-27T14:16:00Z | gastroenterology | CareBridge | video | none | cancelled | blank | blank | blank | blank | blank | blank | blank | blank |
| S016 | routine_checkup | 30 | false | KA | P1016 | D2016 | 2024-04-01T18:00:00Z | 2024-04-01T18:30:00Z | ophthalmology | MediConnect | video | none | completed | Bengaluru | India | Hyderabad | TG | India | 4 | blank | Quick and easy appointment. |
| S017 | urgent_care | 3 | true | C | P1017 | D2017 | 2024-04-10T10:10:00Z | 2024-04-10T10:13:00Z | urology | DigitalCare | chat | software | disconnected | Buenos Aires | Argentina | Rosario | S | Argentina | 2 | Chat crashed after just a few minutes. | Chat didn't work, session ended early. |
| S018 | initial_consultation | 20 | false | TX | P1018 | D2018 | 2024-04-17T17:45:00Z | 2024-04-17T18:05:00Z | general_practice | WellVid | video | none | completed | Austin | USA | Dallas | TX | USA | 5 | blank | Very friendly and helpful provider. |
| S019 | follow_up | 30 | false | AZ | P1019 | D2019 | 2024-04-20T13:55:00Z | 2024-04-20T14:25:00Z | dermatology | CareBridge | video | none | completed | Phoenix | USA | Tucson | AZ | USA | 4 | blank | Skin issue improving, thanks for the advice. |
| S020 | routine_checkup | 30 | false | WA | P1020 | D2020 | 2024-04-22T19:14:00Z | 2024-04-22T19:44:00Z | pediatrics | TeleHealthNow | video | none | completed | Seattle | USA | Portland | OR | USA | 5 | blank | Pediatrician was patient and clear. |
What the 200 rows show
from the 200-row sampleUrgent_
- 21%technical_
issues_ occurred = true - 25median session_
duration_ minutes - 3connection types
- 4session statuses
- 5technical issue types
- 6platforms
Median 25, from 0 to 119.
- string 17
- integer 1
- float 1
- datetime 2
- boolean 1
Columns
22 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 17 columns | |||
session_id | string | Unique identifier for the telemedicine sessionunique | S001 |
patient_id | string | Unique identifier for the patient participating in the session | P1001 |
provider_id | string | Unique identifier for the healthcare provider conducting the session | D2001 |
specialty | string | Medical specialty relevant to the session (e.g., cardiology, dermatology, general practice)11 specialties | general_practice |
visit_type | string | Type of telemedicine visit (e.g., initial consultation, follow-up, urgent care)5 values | routine_checkup |
platform | string | Name of the telemedicine platform or software used for the session6 platforms | WellVid |
connection_type | string | Type of connection used (e.g., video, audio, chat)video · audio · chat · other | video |
technical_issue_type | string | Type of technical issue encountered (e.g., audio, video, connectivity, software), if any6 values · optional | none |
technical_issue_description | string | Detailed description of any technical issues experienced during the sessionoptional | Audio was cutting out, un… |
session_status | string | Final status of the session (e.g., completed, cancelled, disconnected, rescheduled)completed · cancelled · disconnected · rescheduled | completed |
patient_location_city | string | City where the patient was located during the sessionoptional | Denver |
patient_location_state | string | State or province where the patient was located during the sessionoptional | CO |
patient_location_country | string | Country where the patient was located during the sessionoptional | USA |
provider_location_city | string | City where the provider was located during the sessionoptional | Aurora |
provider_location_state | string | State or province where the provider was located during the sessionoptional | CO |
provider_location_country | string | Country where the provider was located during the sessionoptional | USA |
patient_feedback_comments | string | Patient's written feedback or comments about the sessionoptional | Very thorough checkup. |
| Numbers 2 columns | |||
session_duration_minutes | float | Duration of the session in minutes, calculated as end time minus start time0 or more | 35 |
patient_feedback_rating | integer | Patient's rating of the session, typically on a scale of 1 (worst) to 5 (best)1 to 5 · optional | 5 |
| Dates and times 2 columns | |||
session_start_time | datetime | Timestamp indicating when the telemedicine session started | 2023-03-15T08:02:00Z |
session_end_time | datetime | Timestamp indicating when the telemedicine session ended | 2023-03-15T08:37:00Z |
| True or false 1 column | |||
technical_issues_occurred | boolean | Indicates whether any technical issues occurred during the session | false |
Use it for
A healthcare dashboard
The technical_
issues_ occurred rate, session_ duration_ minutes by visit_ type and a breakdown of patient_ location_ state. Excel, Power BI or Tableau. Why do 41 of 200 rows have technical_
issues_ occurred = true? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Sessions200S00135routine_…S0041urgent_c…S00615initial_…
A software demo
Believable sessions with patient_
id, provider_ id and session_ start_ time to fill a screen in front of a buyer.
blueprint · healthcare-telemedicine-session-logs
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 22 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.
- Session ID, provider specialty, and timestamps required
- Include session outcome (completed, dropped, rescheduled)
- Technical issue flag if applicable
- No PHI or identifiable info
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- healthcare-telemedicine-session-logs