Healthcare
18 columns
200 rows
8 formats

Healthcare Patient Satisfaction Ratings

This dataset provides detailed patient satisfaction ratings from outpatient and inpatient healthcare services, including overall and specific experience scores, facility and provider details, and anonymized patient demographics. Designed for healthcare managers and analysts, it enables comprehensive service quality monitoring, benchmarking, and targeted improvement initiatives.

last updated 20 Aug 2025
by GoMask

The brief that made it

Service quality monitoring and benchmarking across facilities and departments

Sample rows

preview · 8 of 200 rows · all 18 columns

rating_idstring	service_typestring	patient_ageinteger	recommend_facilityboolean	departmentstring	patient_idstring	facility_idstring	facility_namestring	provider_idstring	provider_namestring	visit_datedate	rating_scorefloat	wait_time_ratingfloat	staff_courtesy_ratingfloat	facility_cleanliness_ratingfloat	communication_ratingfloat	patient_genderstring	commentsstring
R101	outpatient	38	true	Dermatology	P1001	F001	Central City Medical Center	DR101	Dr. Clara Jensen	2024-03-10	4.7	4.2	4.8	4.6	4.9	female	Very professional staff and clean facility. Highly recommended.
R102	inpatient	55	true	Cardiology	P1002	F002	Northside General Hospital	DR102	Dr. Samuel Ortiz	2024-01-22	3.9	3	4.1	4	3.8	male	Good care, but wait time could be improved.
R103	outpatient	7	true	Pediatrics	P1003	F003	East Regional Clinic	DR103	Dr. Emily Zhao	2024-05-05	4.2	3.8	4.4	4.5	4.2	female	Friendly staff and clean environment. My child was comfortable.
R104	outpatient	42	false	Orthopedics	P1004	F004	Westside Health Center	DR104	Dr. Michael Nguyen	2024-04-16	2.9	2	3.1	3	2.9	male	Long wait time and not enough communication.
R105	inpatient	63	true	Oncology	P1005	F001	Central City Medical Center	DR105	Dr. Priya Singh	2024-02-11	4.5	4	4.7	4.6	4.6	female	Excellent care and support during my stay.
R106	outpatient	29	false	Family Medicine	P1006	F005	Downtown Family Clinic	DR106	Dr. James Lee	2024-06-02	3.2	2.9	3.5	3.6	3.2	female	Average experience, could be friendlier.
R107	inpatient	47	true	Emergency	P1007	F006	Green Valley Hospital	DR107	Dr. Robert Patel	2024-02-28	4	3.2	4.3	4.2	4	male	Quick response and courteous staff.
R108	outpatient	58	false	Internal Medicine	P1008	F005	Downtown Family Clinic	DR108	Dr. Linda Morris	2024-03-20	3.5	2.8	3.9	3.7	3.6	female	Fair service, but had to wait longer than expected.
R109	outpatient	34	false	ENT	P1009	F007	Southside Care Center	DR109	Dr. Hector Garcia	2024-04-03	2.5	1.8	2.7	2.9	2.5	male	Staff seemed overwhelmed, and facility was crowded.
R110	inpatient	61	true	Neurology	P1010	F003	East Regional Clinic	DR110	Dr. Anna Kim	2024-01-18	4.8	4.6	4.9	4.8	4.7	female	Exceptional care and knowledgeable staff.
R111	outpatient	49	true	Ophthalmology	P1011	F008	Pinecrest Health Center	DR111	Dr. William Park	2024-05-12	3.8	3.1	4	4.1	3.9	male	Helpful staff and clean waiting area.
R112	inpatient	38	true	Urology	P1001	F002	Northside General Hospital	DR112	Dr. Sophia Bennett	2024-02-19	4.3	3.7	4.5	4.4	4.2	female	Efficient staff and good communication.
R113	outpatient	36	false	Gastroenterology	P1012	F009	Lakeside Clinic	DR113	Dr. David Green	2024-06-08	3.4	2.7	3.3	3.2	3.1	male	Average experience, nothing outstanding.
R114	outpatient	55	true	Physical Therapy	P1002	F010	Sunrise Medical Center	DR114	Dr. Olivia Turner	2024-03-07	4.1	3.9	4.2	4.3	4.1	male	Therapists were supportive and knowledgeable.
R115	inpatient	32	true	Maternity	P1013	F006	Green Valley Hospital	DR115	Dr. Natasha Reed	2024-04-25	4.6	4.1	4.8	4.7	4.5	female	Wonderful experience during delivery, caring staff.
R116	outpatient	41	false	Endocrinology	P1014	F011	Willowbrook Health Clinic	DR116	Dr. Elizabeth Young	2024-05-18	2.7	2	2.8	3.1	2.9	female	Not very satisfied, long wait and unclear instructions.
R117	inpatient	59	true	Pulmonology	P1015	F004	Westside Health Center	DR117	Dr. John Foster	2024-01-11	3.6	3.2	3.8	3.9	3.7	male	Staff were attentive; facility was clean.
R118	outpatient	7	true	Dermatology	P1003	F008	Pinecrest Health Center	DR118	Dr. Mark Allen	2024-06-14	4	3.6	4.1	4.2	4	female	No issues, good experience overall.
R119	inpatient	70	false	Nephrology	P1016	F001	Central City Medical Center	DR119	Dr. Pablo Martinez	2024-02-04	3	2.5	3.2	3.5	3.1	male	Acceptable service, but room was noisy.
R120	outpatient	62	true	Rheumatology	P1017	F010	Sunrise Medical Center	DR120	Dr. Angela Carter	2024-03-15	4.4	4	4.6	4.5	4.3	female	Efficient and supportive rheumatology team.

What the 200 rows show

from the 200-row sample

Outpatient (service type) stands out: mean patient_age is 40.0, against 57.0 for the rest.

59%recommend_facility = true
47.5median patient_age
4patient genders
3.8median rating_score
3.4median wait_time_rating
4.1median staff_courtesy_rating

Mean patient_age by service_type200 rows

patient_age200 rows, in bands of 10

Median 47.5, from 3 to 91.

department200 rows · top 10 of 32 values

Emergency14
Cardiology13
Orthopedics13
Oncology13
Pediatrics12
ENT11
Neurology11
Endocrinology11
Dermatology10
Family Medicine9

18 columns by typefrom the column list below

string 10
integer 1
float 5
date 1
boolean 1

Columns

18 columns in four groups

blueprint · 18 columns
column	type	description	example
Text 10 columns
`rating_id`	string	Unique identifier for each patient satisfaction rating recordunique	R101
`patient_id`	string	Anonymized unique identifier for the patient providing the rating	P1001
`service_type`	string	Type of healthcare service received (outpatient or inpatient)outpatient · inpatient	outpatient
`facility_id`	string	Unique identifier for the healthcare facility where service was provided	F001
`facility_name`	string	Name of the healthcare facility	East Regional Clinic
`department`	string	Department or unit where the patient received care (e.g., Cardiology, Emergency)optional	Dermatology
`provider_id`	string	Unique identifier for the primary healthcare provider involved in the serviceoptional	DR101
`provider_name`	string	Name of the primary healthcare provideroptional	Dr. Clara Jensen
`comments`	string	Free-text comments or feedback provided by the patientoptional	Very professional staff a…
`patient_gender`	string	Gender of the patientmale · female · other · prefer_not_to_say · optional	female
Numbers 6 columns
`rating_score`	float	Overall satisfaction rating provided by the patient (e.g., scale 1-5)1 to 5	4.7
`wait_time_rating`	float	Patient rating of wait time experience (e.g., scale 1-5)1 to 5 · optional	4.2
`staff_courtesy_rating`	float	Patient rating of staff courtesy and professionalism (e.g., scale 1-5)1 to 5 · optional	4.8
`facility_cleanliness_rating`	float	Patient rating of facility cleanliness (e.g., scale 1-5)1 to 5 · optional	4.6
`communication_rating`	float	Patient rating of provider communication and information sharing (e.g., scale 1-5)1 to 5 · optional	4.9
`patient_age`	integer	Age of the patient at the time of visit0 to 120 · optional	38
Dates and times 1 column
`visit_date`	date	Date of the patient's visit or service	2024-03-10
True or false 1 column
`recommend_facility`	boolean	Whether the patient would recommend the facility to othersoptional	true

Use it for

A healthcare dashboard
The recommend_facility rate, patient_age by service_type and a breakdown of department. Excel, Power BI or Tableau.
Why do the 111 outpatient rows have a mean patient_age of 40.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Ratings200
R10138outpatie…
R10255inpatient
R10442outpatie…
A software demo
Believable ratings with patient_id, service_type and facility_id to fill a screen in front of a buyer.

This dataset200 rows18 columns

Yours1,000 rows18 columns

blueprint · healthcare-patient-satisfaction-ratings

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

Include ratings by department
Segment by length of stay
Track reasons for low scores
Include demographic breakdown

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

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-satisfaction-ratings

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?