Healthcare Patient Survey Responses
This dataset aggregates detailed, standardized patient satisfaction and outcome survey responses from hospitals and healthcare facilities, including ratings on staff, communication, cleanliness, and outcomes, along with patient demographics and visit details. It enables robust benchmarking, quality improvement, and predictive analytics for healthcare providers and researchers.
Sample rows
preview · 8 of 200 rows · all 22 columns| response_idstring | admission_typestring | discharge_information_ratinginteger | would_recommendboolean | survey_versionstring | patient_idstring | hospital_idstring | survey_typestring | survey_datedate | patient_ageinteger | patient_genderstring | departmentstring | length_of_stay_daysinteger | primary_diagnosis_codestring | survey_overall_ratinginteger | staff_responsiveness_ratinginteger | communication_with_doctors_ratinginteger | communication_with_nurses_ratinginteger | cleanliness_ratinginteger | pain_management_ratinginteger | outcome_improvementboolean | commentsstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RESP-00001 | inpatient | 5 | true | 2022.1 | PAT-Q4J8L2 | HSP-002-BOS | HCAHPS | 2022-04-18 | 74 | male | Geriatrics | 9 | I10 | 9 | 5 | 5 | 5 | 4 | 4 | true | Wonderful staff and attentive care throughout my stay. |
| RESP-00002 | emergency | 4 | true | 2023.2 | PAT-3Z5Y8F | HSP-011-CHI | Press Ganey | 2023-06-27 | 29 | female | Emergency | 1 | S06.0X0A | 7 | 3 | 4 | 4 | 4 | 3 | true | Quick response in the ER, but the wait time was a bit long. |
| RESP-00003 | inpatient | 5 | true | Beta | PAT-W0UZ4B | HSP-007-NYC | Patient Voice | 2021-01-12 | 0 | other | Neonatal ICU | 13 | P07.3 | 10 | 5 | 5 | 5 | 5 | blank | true | The neonatal team was exceptional and truly caring. |
| RESP-00004 | inpatient | 4 | true | blank | PAT-2RFL6M | HSP-002-BOS | HCAHPS | 2020-09-22 | 85 | female | Cardiology | 7 | I21.9 | 8 | 4 | 4 | 5 | 4 | 3 | true | Nurses were helpful and answered all my questions. |
| RESP-00005 | outpatient | 4 | true | Preview | PAT-KJ7H3Z | HSP-024-SEA | Custom Care | 2024-03-15 | 54 | prefer_not_to_say | Dermatology | blank | L40.0 | 8 | 4 | 5 | 4 | 5 | blank | true | Very positive experience, clinic staff was friendly. |
| RESP-00006 | inpatient | 2 | false | 2023.1 | PAT-91X6EV | HSP-007-NYC | Press Ganey | 2023-10-21 | 44 | male | Surgery | 5 | K35.80 | 4 | 2 | 2 | 2 | 3 | 2 | false | Had trouble getting staff attention, felt ignored at times. |
| RESP-00007 | emergency | 3 | true | 2021.3 | PAT-6PF4QZ | HSP-015-SFO | HCAHPS | 2021-07-03 | 25 | female | Emergency | 0 | S09.90XA | 6 | 3 | 4 | 4 | 5 | 3 | true | The ER was busy, but nurses managed well overall. |
| RESP-00008 | inpatient | 4 | true | blank | PAT-E2G5MR | HSP-024-SEA | Patient Voice | 2023-12-12 | 33 | male | Orthopedics | 4 | M16.10 | 7 | 4 | 3 | 4 | 4 | 4 | true | Good care and clear instructions at discharge. |
| RESP-00009 | inpatient | 5 | true | 2022.4 | PAT-0KPB7S | HSP-015-SFO | Press Ganey | 2022-11-28 | 62 | female | Oncology | 10 | C50.919 | 10 | 5 | 5 | 5 | 5 | 5 | true | Excellent cancer care, very grateful for the doctors. |
| RESP-00010 | inpatient | 4 | true | 2021.2 | PAT-TR7W6E | HSP-002-BOS | HCAHPS | 2021-11-07 | 39 | male | Surgery | 2 | K40.20 | 5 | 3 | 3 | 4 | 4 | 4 | true | Care was good, but some delays in night shifts. |
| RESP-00011 | inpatient | 5 | true | 2023.1 | PAT-7A1V8N | HSP-017-AUS | Patient Voice | 2023-03-21 | 66 | male | Cardiology | 12 | I25.10 | 8 | 4 | 5 | 4 | 4 | 3 | true | Staff was very attentive during my recovery. |
| RESP-00012 | outpatient | 4 | true | blank | PAT-P3JV5T | HSP-006-DAL | Custom Care | 2022-08-30 | 46 | female | Dermatology | blank | L81.0 | 9 | 5 | 4 | 5 | 5 | blank | true | Appointment was on time and very professional. |
| RESP-00013 | inpatient | 5 | true | 2024.1 | PAT-6ZXQ5N | HSP-017-AUS | HCAHPS | 2024-02-15 | 72 | female | Geriatrics | 8 | M81.0 | 9 | 5 | 4 | 5 | 4 | 4 | true | Very supportive staff, made recovery much easier. |
| RESP-00014 | outpatient | 4 | true | 2022.2 | PAT-C9LZ3Q | HSP-004-PHX | Press Ganey | 2022-09-19 | 58 | male | Oncology | blank | C34.90 | 7 | 4 | 4 | 5 | 5 | 4 | true | Good communication about my treatment plan. |
| RESP-00015 | inpatient | 3 | false | 2022.4 | PAT-R2X5KW | HSP-019-DEN | HCAHPS | 2022-12-07 | 40 | male | Orthopedics | 5 | M17.11 | 5 | 3 | 2 | 3 | 3 | 2 | false | Expected better pain management after surgery. |
| RESP-00016 | inpatient | 5 | true | 2022.3 | PAT-Y8W6QJ | HSP-011-CHI | Patient Voice | 2022-07-22 | 2 | female | Pediatrics | 2 | J21.9 | 10 | 5 | 5 | 5 | 5 | 4 | true | Wonderful care for our child, nurses were amazing. |
| RESP-00017 | inpatient | 4 | true | blank | PAT-1Z4GKU | HSP-019-DEN | Press Ganey | 2021-04-11 | 53 | male | Surgery | 3 | K80.20 | 8 | 4 | 4 | 4 | 4 | 4 | true | Responsive staff and clean facilities; overall positive. |
| RESP-00018 | inpatient | 5 | true | 2023.3 | PAT-W7S9BP | HSP-004-PHX | HCAHPS | 2023-09-06 | 68 | female | Geriatrics | 14 | M80.80XA | 10 | 5 | 5 | 5 | 5 | 5 | true | I felt very safe and cared for during my stay. |
| RESP-00019 | inpatient | 5 | true | blank | PAT-BZ3F8H | HSP-006-DAL | Patient Voice | 2023-10-19 | 41 | female | Oncology | 6 | C18.9 | 9 | 5 | 5 | 5 | 4 | 4 | true | Appreciated the team’s constant support and updates. |
| RESP-00020 | emergency | 3 | true | 2021.2 | PAT-X5L8RV | HSP-011-CHI | Press Ganey | 2021-06-17 | 38 | male | Emergency | 1 | S52.501A | 6 | 4 | 3 | 3 | 4 | 3 | true | ER was very busy, but staff managed my needs well. |
What the 200 rows show
from the 200-row sampleEmergency (admission type) stands out: mean discharge_
- 83%would_
recommend = true - 4median discharge_
information_ rating - 4patient genders
- 6survey types
- 11departments
- 45hospitals
Median 4, from 1 to 5.
- string 10
- integer 9
- date 1
- boolean 2
Columns
22 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
response_id | string | Unique identifier for each patient survey responseunique | RESP-00001 |
patient_id | string | Anonymized unique identifier for the patient completing the survey | PAT-Q4J8L2 |
hospital_id | string | Unique identifier for the hospital or healthcare facility where the survey was conducted | HSP-002-BOS |
survey_type | string | Type or name of the standardized survey administered (e.g., HCAHPS, Press Ganey)6 types | HCAHPS |
survey_version | string | Version or revision of the survey instrument usedoptional | 2022.1 |
patient_gender | string | Gender of the patientmale · female · other · prefer_not_to_say · optional | male |
department | string | Hospital department or care unit associated with the patient’s visit (e.g., Cardiology, Emergency)11 departments · optional | Geriatrics |
admission_type | string | Type of patient admission (e.g., inpatient, outpatient, emergency)inpatient · outpatient · emergency · other · optional | inpatient |
primary_diagnosis_code | string | Primary diagnosis code (e.g., ICD-10) for the patient’s visitoptional | I10 |
comments | string | Free-text comments or feedback provided by the patientoptional | Wonderful staff and atten… |
| Numbers 9 columns | |||
patient_age | integer | Age of the patient at the time of survey completion0 to 120 · optional | 74 |
length_of_stay_days | integer | Number of days the patient stayed in the hospital (if applicable)0 or more · optional | 9 |
survey_overall_rating | integer | Patient’s overall satisfaction rating for the hospital (e.g., 1-10 scale)1 to 10 | 9 |
staff_responsiveness_rating | integer | Patient’s rating of staff responsiveness (e.g., 1-5 scale)1 to 5 · optional | 5 |
communication_with_doctors_rating | integer | Patient’s rating of communication with doctors (e.g., 1-5 scale)1 to 5 · optional | 5 |
communication_with_nurses_rating | integer | Patient’s rating of communication with nurses (e.g., 1-5 scale)1 to 5 · optional | 5 |
cleanliness_rating | integer | Patient’s rating of hospital cleanliness (e.g., 1-5 scale)1 to 5 · optional | 4 |
pain_management_rating | integer | Patient’s rating of pain management effectiveness (e.g., 1-5 scale)1 to 5 · optional | 4 |
discharge_information_rating | integer | Patient’s rating of the quality of discharge information provided (e.g., 1-5 scale)1 to 5 · optional | 5 |
| Dates and times 1 column | |||
survey_date | date | Date when the patient completed the survey | 2022-04-18 |
| True or false 2 columns | |||
would_recommend | boolean | Whether the patient would recommend the hospital to othersoptional | true |
outcome_improvement | boolean | Whether the patient reported improvement in their condition after treatmentoptional | true |
Use it for
A healthcare dashboard
The would_
recommend rate, discharge_ information_ rating by admission_ type and a breakdown of survey_ version. Excel, Power BI or Tableau. Why do the 26 emergency rows have a mean discharge_
information_ 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.
- Responses200RESP-000015inpatientRESP-000024emergencyRESP-000062inpatient
A software demo
Believable responses with patient_
id, hospital_ id and survey_ type to fill a screen in front of a buyer.
This dataset200 rows22 columns
Yours1,000 rows22 columns
blueprint · healthcare-patient-survey-responses
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.
Rules it was built with
- Each record is a completed patient survey.
- Includes demographic info, care setting, ratings.
- Open-ended response fields available.
- Survey timestamps and care episode linked.
Open the blueprint in Data Factory
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-patient-survey-responses