Patient Satisfaction Survey Responses
This dataset contains detailed patient satisfaction survey responses from hospital patients, including quantitative ratings on various aspects of care and open-ended feedback for improvement. It enables comprehensive analysis of patient experience by department, facility, and demographic factors, supporting quality improvement and benchmarking initiatives.
Sample rows
preview · 8 of 200 rows · all 18 columns| response_idstring | admission_typestring | ageinteger | follow_up_requestedboolean | hospital_idstring | patient_idstring | survey_datedate | departmentstring | genderstring | overall_satisfaction_scoreinteger | staff_courtesy_scoreinteger | communication_scoreinteger | cleanliness_scoreinteger | wait_time_scoreinteger | would_recommendboolean | response_languagestring | positive_feedbackstring | areas_for_improvementstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RSP-00001 | inpatient | 78 | false | HOSP-001 | PAT-10001 | 2022-01-15 | Cardiology | female | 9 | 5 | 5 | 5 | 4 | true | English | Staff was very attentive and supportive throughout my stay. | blank |
| RSP-00002 | emergency | 2 | false | HOSP-002 | PAT-10002 | 2023-06-04 | Pediatrics | male | 10 | 5 | 5 | 5 | 5 | true | French | Doctors were excellent with my child and explained everything clearly. | blank |
| RSP-00003 | outpatient | 29 | true | HOSP-003 | PAT-10003 | 2024-03-21 | Orthopedics | non-binary | 4 | 3 | 2 | 3 | 2 | false | German | blank | Faster service and clearer instructions needed. |
| RSP-00004 | inpatient | 80 | false | HOSP-001 | PAT-10001 | 2023-11-18 | Geriatrics | female | 8 | 5 | 4 | 5 | 4 | true | Italian | Nurses made me feel comfortable and cared for. | blank |
| RSP-00005 | emergency | 42 | false | HOSP-004 | PAT-10004 | 2022-08-09 | Emergency | male | 7 | 4 | 4 | 4 | 4 | true | English | Quick response and professional staff in urgent care. | Waiting area can be improved. |
| RSP-00006 | inpatient | 67 | false | HOSP-005 | PAT-10005 | 2022-11-25 | Neurology | male | 9 | 5 | 4 | 5 | 5 | true | Mandarin | Doctors are experts in their field. | blank |
| RSP-00007 | inpatient | 0 | false | HOSP-006 | PAT-10006 | 2023-08-30 | Maternity | female | 10 | 5 | 5 | 5 | 4 | true | French | Exceptional care for both mother and baby. | blank |
| RSP-00008 | other | blank | false | HOSP-003 | PAT-10007 | 2023-07-13 | blank | blank | 5 | 3 | 2 | 3 | 3 | false | Spanish | blank | More information on next steps would be helpful. |
| RSP-00009 | emergency | 71 | false | HOSP-002 | PAT-10008 | 2024-01-22 | ICU | male | 8 | 5 | 4 | 5 | 4 | true | English | Life-saving care, deeply grateful. | blank |
| RSP-00010 | outpatient | 34 | true | HOSP-007 | PAT-10009 | 2023-10-05 | Rehabilitation | female | 6 | 4 | 3 | 4 | 3 | false | German | blank | Long waiting times for appointments. |
| RSP-00011 | outpatient | 25 | true | HOSP-008 | PAT-10010 | 2024-04-19 | Dermatology | prefer not to say | 3 | 2 | 2 | 3 | 2 | false | English | blank | Staff could be more welcoming. |
| RSP-00012 | inpatient | 65 | false | HOSP-009 | PAT-10011 | 2023-03-11 | Oncology | female | 10 | 5 | 5 | 5 | 5 | true | English | The support received was outstanding during a difficult time. | blank |
| RSP-00013 | outpatient | 22 | false | HOSP-004 | PAT-10012 | 2022-12-16 | Radiology | male | 5 | 3 | 3 | 3 | 2 | false | Spanish | blank | Instructions should be clearer. |
| RSP-00014 | other | 120 | false | HOSP-005 | PAT-10013 | 2024-05-14 | blank | blank | 6 | 4 | 3 | 3 | 3 | false | Russian | blank | Accessibility for elderly could be better. |
| RSP-00015 | emergency | 4 | false | HOSP-006 | PAT-10014 | 2022-09-27 | Surgery | male | 9 | 5 | 5 | 5 | 4 | true | Japanese | Very caring and quick action from the surgery team. | blank |
| RSP-00016 | emergency | 66 | false | HOSP-002 | PAT-10015 | 2022-02-23 | ICU | male | 8 | 4 | 4 | 5 | 5 | true | English | Staff were calm and professional in a crisis. | blank |
| RSP-00017 | other | blank | false | HOSP-007 | PAT-10016 | 2023-04-21 | blank | prefer not to say | 4 | 2 | 2 | 2 | 2 | false | Portuguese | blank | More privacy and better signage needed. |
| RSP-00018 | inpatient | 85 | false | HOSP-003 | PAT-10017 | 2023-01-19 | Geriatrics | male | 9 | 5 | 5 | 5 | 4 | true | English | Excellent attention to seniors. | blank |
| RSP-00019 | inpatient | 72 | false | HOSP-001 | PAT-10018 | 2022-07-22 | Cardiology | female | 8 | 5 | 4 | 5 | 4 | true | Italian | Very detailed explanations from doctors. | blank |
| RSP-00020 | outpatient | 23 | true | HOSP-008 | PAT-10019 | 2024-06-01 | Dermatology | non-binary | 6 | 4 | 3 | 3 | 3 | false | English | blank | More attention during consultations. |
What the 200 rows show
from the 200-row sampleOutpatient (admission type) stands out: 39 of its 51 rows have follow_
- 22%follow_
up_ requested = true - 48.5median age
- 5genders
- 14departments
- 16response languages
- 7median overall_
satisfaction_ score
Outpatient (admission type)'s mean age is 30.3, against 58.0 for inpatient, 49.3 for emergency and 120.3 for other.
Median 48.5, from 0 to 121.
- string 9
- integer 6
- date 1
- boolean 2
Columns
18 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
response_id | string | Unique identifier for each survey responseunique | RSP-00001 |
patient_id | string | Anonymized unique identifier for the patient completing the survey | PAT-10001 |
hospital_id | string | Unique identifier for the hospital or facility where care was received | HOSP-001 |
department | string | Hospital department or unit where the patient received care (e.g., Emergency, Cardiology)optional | Cardiology |
admission_type | string | Type of patient admission (e.g., inpatient, outpatient, emergency)inpatient · outpatient · emergency · other · optional | inpatient |
gender | string | Self-reported gender of the patientmale · female · non-binary · prefer not to say · other · optional | female |
positive_feedback | string | Open-ended patient comments about positive experiencesoptional | Staff was very attentive … |
areas_for_improvement | string | Open-ended patient comments about areas needing improvementoptional | Faster check-in process. |
response_language | string | Language in which the survey was completedoptional | English |
| Numbers 6 columns | |||
age | integer | Age of the patient at the time of survey0 to 120 · optional | 78 |
overall_satisfaction_score | integer | Overall satisfaction rating given by the patient (e.g., 1-10 scale)1 to 10 | 9 |
staff_courtesy_score | integer | Patient's rating of staff courtesy (e.g., 1-5 scale)1 to 5 · optional | 5 |
communication_score | integer | Patient's rating of communication with doctors and nurses (e.g., 1-5 scale)1 to 5 · optional | 5 |
cleanliness_score | integer | Patient's rating of hospital cleanliness (e.g., 1-5 scale)1 to 5 · optional | 5 |
wait_time_score | integer | Patient's rating of wait times (e.g., 1-5 scale)1 to 5 · optional | 4 |
| Dates and times 1 column | |||
survey_date | date | Date when the survey was completed | 2022-01-15 |
| True or false 2 columns | |||
would_recommend | boolean | Indicates if the patient would recommend the hospital to othersoptional | true |
follow_up_requested | boolean | Indicates if the patient requested a follow-up regarding their feedbackoptional | false |
Use it for
A healthcare dashboard
The follow_
up_ requested rate, age by admission_ type and a breakdown of hospital_ id. Excel, Power BI or Tableau. Why do 44 of 199 rows have follow_
up_ requested = true? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Responses200RSP-0000178inpatientRSP-0000329outpatie…RSP-0001034outpatie…
A software demo
Believable responses with patient_
id, survey_ date and hospital_ id to fill a screen in front of a buyer.
This dataset200 rows18 columns
Yours1,000 rows18 columns
blueprint · patient-satisfaction-survey-responses
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 18 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 record is an anonymized patient response.
- Demographic and health service info included.
- Likert-scale scores for multiple factors.
- Optional open-ended comment field.
Open the blueprint in Data Factory
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- patient-satisfaction-survey-responses