Healthcare
21 columns
100 rows
8 formats

Cardiovascular Disease Registry

This cardiovascular disease registry dataset provides detailed patient-level data on myocardial infarction types, interventions (PCI/CABG), door-to-balloon times, ejection fraction, risk scores, medications, and outcomes. It is designed for hospital quality improvement, clinical research, and benchmarking, enabling robust analysis of cardiac care processes and patient outcomes.

last updated 2 Nov 2025
by GoMask

The brief that made it

Hospital quality improvement and benchmarking

Sample rows

preview · 8 of 100 rows · all 21 columns

patient_idstring	mi_typestring	ejection_fraction_percentfloat	pci_performedboolean	hospital_idstring	admission_datedate	cabg_performedboolean	door_to_balloon_time_minutesfloat	risk_score_gracefloat	risk_score_timfloat	medication_aspirinboolean	medication_beta_blockerboolean	medication_statinsboolean	medication_ace_inhibitorboolean	outcome_in_hospital_mortalityboolean	outcome_length_of_stay_daysfloat	outcome_readmission_30_daysboolean	outcome_discharge_statusstring	ageinteger	sexstring	race_ethnicitystring
MI-001-A	STEMI	56.3	true	HCA-NY-001	2024-02-12	false	48.2	124.7	5	true	true	true	false	false	3.4	false	Home	67	Male	White
MI-002-B	NSTEMI	60.1	false	Cleveland-CL-14	2024-03-03	false	blank	82.3	3	true	true	false	true	false	2.7	false	Home	54	Female	Hispanic
MI-003-C	STEMI	49.5	true	UCSF-CA-22	2024-02-22	false	41	136.9	4	true	false	true	true	false	4.8	false	Home	62	Male	Black
MI-004-D	NSTEMI	44.2	false	NYPres-NY-03	2024-01-15	true	blank	178.1	6	true	false	true	false	false	7.2	true	Rehab	70	Female	Asian
MI-005-E	Other	65.5	false	MercyTX-11	2024-03-21	false	blank	65.9	2	true	true	false	false	false	1.9	false	Home	45	Male	White
MI-006-F	STEMI	39.7	true	CedarsCA-07	2024-02-09	false	71.8	193.4	7	true	false	true	true	false	6.1	true	Rehab	74	Male	Black
MI-007-G	NSTEMI	59.8	false	MayoMN-02	2024-01-27	false	blank	93.7	3	false	true	true	false	false	2.3	false	Home	51	Female	Hispanic
MI-008-H	STEMI	41.4	true	StanfordCA-08	2024-03-30	false	35	156.2	4	true	true	true	true	true	5	false	Deceased	78	Male	White
MI-009-I	NSTEMI	46.8	false	NYPres-NY-03	2024-02-28	true	blank	168.9	5	true	false	true	false	false	8	true	Rehab	81	Female	Asian
MI-010-J	STEMI	53.1	true	HCA-NY-001	2024-02-02	false	49.3	127.5	5	false	true	true	false	false	3.1	false	Home	60	Male	White
MI-011-K	NSTEMI	37.5	false	CedarsCA-07	2024-01-13	true	blank	185.2	7	true	false	true	true	false	9.2	true	Rehab	76	Female	Black
MI-012-L	NSTEMI	63.8	false	MercyTX-11	2024-02-17	false	blank	71.6	2	false	true	false	false	false	2	false	Home	50	Male	White
MI-013-M	Other	66.2	false	StanfordCA-08	2024-03-15	false	blank	58.4	1	true	false	false	true	false	1.7	false	Home	36	Female	Asian
MI-014-N	STEMI	57.2	true	MayoMN-02	2024-02-25	false	52.4	120.9	5	true	true	false	false	false	3.7	false	Home	63	Male	White
MI-015-O	NSTEMI	41.7	false	Cleveland-CL-14	2024-03-04	true	blank	173.6	6	true	true	true	false	false	8.5	true	Rehab	79	Female	Hispanic
MI-016-P	Other	67	false	UCSF-CA-22	2024-01-31	false	blank	61.7	2	false	false	true	true	false	1.4	false	Home	42	Male	White
MI-017-Q	STEMI	47.9	true	CedarsCA-07	2024-03-09	false	39.7	142.4	5	true	false	false	true	false	4.9	false	Home	65	Male	Black
MI-018-R	NSTEMI	61.3	false	HCA-NY-001	2024-03-29	false	blank	70.2	2	true	true	false	true	false	2.2	false	Home	53	Female	White
MI-019-S	STEMI	54.7	true	StanfordCA-08	2024-02-14	false	56.6	132	4	true	false	true	false	false	3.9	false	Home	61	Male	Asian
MI-020-T	NSTEMI	38.3	false	NYPres-NY-03	2024-01-29	true	blank	190.7	7	false	true	true	false	false	10.1	true	Rehab	82	Female	Black

What the 100 rows show

from the 100-row sample

STEMI (mi type) stands out: 34 of its 34 rows have pci_performed = true, against 1 of 66 for the rest.

35%pci_performed = true
53.4median ejection_fraction_percent
3sexes
4outcome discharge statuses
5race ethnicities
47.2median door_to_balloon_time_minutes

Pci performed rate by mi_typepci_performed = true

STEMI (mi type)'s mean ejection_fraction_percent is 43.9, against 54.0 for NSTEMI and 55.0 for Other.

ejection_fraction_percent100 rows, in bands of 10

Median 53.4, from 29.7 to 70.3.

hospital_id100 rows · top 10 of 13 values

HSP-52912
HSP-52010
HSP-52310
HSP-5289
HSP-5249
NYPres-NY-038
CedarsCA-078
StanfordCA-088
Cleveland-CL-147
UCSF-CA-227

21 columns by typefrom the column list below

string 6
integer 1
float 5
date 1
boolean 8

Columns

21 columns in four groups

blueprint · 21 columns
column	type	description	example
Text 6 columns
`patient_id`	string	Unique identifier for each patient in the registryunique	MI-001-A
`mi_type`	string	Type of myocardial infarction (e.g., STEMI, NSTEMI, other)STEMI · NSTEMI · Other	STEMI
`outcome_discharge_status`	string	Patient's status at discharge (e.g., home, rehab, deceased)Home · Rehab · Deceased · Other	Home
`sex`	string	Patient's biological sexMale · Female · Other	Male
`race_ethnicity`	string	Patient's self-reported race or ethnicity5 ethnicities · optional	White
`hospital_id`	string	Unique identifier for the hospital where care was provided	HCA-NY-001
Numbers 6 columns
`door_to_balloon_time_minutes`	float	Time in minutes from hospital arrival to balloon inflation during PCI0 or more · optional	48.2
`ejection_fraction_percent`	float	Patient's left ventricular ejection fraction as a percentage0 to 100 · optional	56.3
`risk_score_grace`	float	GRACE risk score for acute coronary syndrome0 or more · optional	124.7
`risk_score_tim`	float	TIMI risk score for myocardial infarction0 or more · optional	5
`outcome_length_of_stay_days`	float	Length of hospital stay in days0 or more	3.4
`age`	integer	Patient's age in years at time of admission0 to 120	67
Dates and times 1 column
`admission_date`	date	Date of hospital admission for cardiac event	2024-02-12
True or false 8 columns
`pci_performed`	boolean	Indicates whether percutaneous coronary intervention (PCI) was performed	true
`cabg_performed`	boolean	Indicates whether coronary artery bypass grafting (CABG) was performed	false
`medication_aspirin`	boolean	Indicates if aspirin was administered during hospitalization	true
`medication_beta_blocker`	boolean	Indicates if beta blocker was administered during hospitalization	true
`medication_statins`	boolean	Indicates if statins were administered during hospitalization	true
`medication_ace_inhibitor`	boolean	Indicates if ACE inhibitor was administered during hospitalization	false
`outcome_in_hospital_mortality`	boolean	Indicates if the patient died during hospitalization	false
`outcome_readmission_30_days`	boolean	Indicates if the patient was readmitted within 30 days of discharge	false

Use it for

A healthcare dashboard
The pci_performed rate, ejection_fraction_percent by mi_type and a breakdown of hospital_id. Excel, Power BI or Tableau.
Why do 35 of 100 rows have pci_performed = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Patients100
MI-001-A56.3STEMI
MI-002-B60.1NSTEMI
MI-003-C49.5STEMI
A software demo
Believable patients with admission_date, mi_type and pci_performed to fill a screen in front of a buyer.

This dataset100 rows21 columns

Yours1,000 rows21 columns

blueprint · cardiovascular-disease-registry

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 21 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

Registry ID unique per cardiac event
Event type: STEMI, NSTEMI, unstable angina, heart failure
Presentation date and time
Door-to-balloon time for STEMI (target <90 minutes)
Thrombolysis if applicable
PCI (Percutaneous Coronary Intervention) performed
Number of vessels diseased and intervened
Stent type: bare metal, drug-eluting

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: cardiovascular-disease-registry

What should your data show?

No signup. No card.

Sample rows

What the 100 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?