Healthcare
25 columns
200 rows
8 formats

Healthcare Risk Assessment Scores

This dataset provides comprehensive healthcare risk assessment records, including patient demographics, clinical attributes, calculated risk scores, and assessment metadata. It is ideal for precision medicine, population health analytics, and policy modeling, enabling researchers and healthcare organizations to stratify risk, identify high-risk populations, and inform targeted interventions.

last updated 20 Aug 2025
by GoMask

The brief that made it

Precision medicine risk stratification and patient targeting

Sample rows

preview · 8 of 200 rows · all 25 columns

risk_score_idstring	risk_categorystring	bmifloat	comorbiditiesstring	patient_idstring	assessment_datedate	risk_scorefloat	ageinteger	genderstring	ethnicitystring	primary_diagnosis_codestring	smoking_statusstring	systolic_bpinteger	diastolic_bpinteger	cholesterol_levelfloat	medicationsstring	insurance_typestring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	address_countrystring	assessment_methodstring	assessor_idstring	notesstring
RS0001	Low	23.4	blank	P001	2023-03-14	18.5	29	Female	Hispanic	E11.9	Never	124	82	176.5	blank	Private	1720 Barton Springs Rd	Austin	TX	78704	USA	Framingham_v2	CLN-1021	Routine annual assessment
RS0002	Medium	27.1	E11.9	P002	2022-07-22	26.7	36	Male	Asian	I10	Former	132	87	192.2	Metformin	Private	909 W Madison St	Chicago	IL	60607	USA	QRISK3	CLN-1034	Lifestyle counseling
RS0003	Low	14.7	blank	P003	2023-09-13	12.9	5	Male	Latinx	Z00.129	Never	58	32	67.8	blank	Medicaid	blank	blank	blank	blank	blank	PediatricRisk	CLN-2001	Routine checkup
RS0004	High	34.5	E78.5,I10	P004	2021-05-20	48.6	71	Female	White	I25.10	Former	156	102	322.3	Statin,Aspirin	Medicare	142 Beacon St	Boston	MA	02116	USA	CAD_Risk_Score	CLN-1102	Post-AMI follow up
RS0005	Medium	26.2	blank	P005	2023-11-04	22.9	27	Female	Black	E66.9	Never	119	77	161.8	blank	Private	350 Market St	San Francisco	CA	94105	USA	Framingham_v2	CLN-1021	Routine assessment
RS0006	Low	12.2	blank	P006	2022-01-30	15.4	2	Female	Unknown	P07.3	Never	54	31	62.3	blank	Medicaid	blank	blank	blank	blank	blank	NeonatalRisk	CLN-2003	Premature birth
RS0007	Critical	40.8	I10,E11.9,J44.9,F17.2	P007	2021-12-17	92.4	88	Male	Jewish	I63.9	Current	204	146	392.1	Warfarin,Insulin,Statin,Aspirin	Medicare	3400 Main St	Houston	TX	77002	USA	StrokeRiskScore	CLN-1150	End-of-life care
RS0008	High	31.9	I10,E11.9	P008	2022-10-29	41.8	77	Female	Asian	E78.5	Former	149	94	278.9	Statin,Metformin	Medicare	1125 NW 9th Ave	Portland	OR	97209	USA	Oncology_Risk	CLN-1158	Frequent ER visits
RS0009	Medium	22.3	blank	P009	2023-06-18	33.2	24	Male	Indigenous	F41.9	Current	118	69	184.7	Sertraline	Uninsured	17 College Dr	Flagstaff	AZ	86001	USA	MentalHealth_Risk	CLN-1420	First assessment
RS0010	Critical	59.3	E11.9,J44.9,F17.2	P010	2022-03-23	90.8	120	Other	Unknown	I10	Unknown	235	148	400	Warfarin,Statin,Insulin	Other	blank	blank	blank	blank	Narnia	EdgeCase_Max	blank	Outlier for boundary testing
RS0011	Low	20.6	blank	P011	2022-04-12	16.2	17	Female	Native American	E66.9	Never	104	64	132.9	blank	Medicaid	12 Pine Ave	Santa Fe	NM	87501	USA	PediatricRisk	CLN-2005	Diet counseling
RS0012	Low	24.9	blank	P012	2023-05-06	19.7	33	Male	White	E11.9	Never	112	75	156.2	blank	Private	1407 Union St	Seattle	WA	98101	USA	QRISK3	CLN-1034	Routine assessment
RS0013	Medium	29.3	E11.9	P013	2022-09-18	38.3	43	Female	Asian	I10	Former	137	86	207.8	Metformin,Statin	Private	88 Broadway	New York	NY	10006	USA	Framingham_v2	CLN-1098	Lifestyle counseling
RS0014	High	42.2	E78.5,I10,E11.9	P014	2023-01-11	55.9	68	Male	Black	I25.10	Current	180	144	339.6	Aspirin,Insulin,Statin	Medicare	5200 Biscayne Blvd	Miami	FL	33137	USA	CAD_Risk_Score	CLN-1102	Post-stroke
RS0015	Medium	22.6	blank	P015	2021-08-30	34.5	26	Female	White	E66.9	Never	115	72	158.9	blank	Private	1200 S Lamar Blvd	Austin	TX	78704	USA	QRISK3	CLN-1021	Lifestyle counseling
RS0016	Medium	26.7	E11.9	P002	2023-01-17	31.7	36	Male	Asian	I10	Former	129	85	184.3	Metformin	Private	909 W Madison St	Chicago	IL	60607	USA	QRISK3	CLN-1034	Follow-up assessment
RS0017	High	38.2	E11.9,E78.5	P016	2023-08-10	45.9	70	Female	Asian	I10	Former	151	102	300.7	Statin	Medicare	1002 S 8th St	San Jose	CA	95112	USA	StrokeRiskScore	CLN-1158	Routine annual assessment
RS0018	Low	21.3	blank	P017	2022-06-05	17.8	32	Male	White	I10	Never	110	69	143.2	blank	Private	2120 Walnut St	Philadelphia	PA	19103	USA	Framingham_v2	CLN-1097	Routine assessment
RS0019	Medium	28.3	blank	P018	2022-11-16	20.2	41	Female	Black	E11.9	Never	132	85	174	blank	Private	1600 Vine St	Los Angeles	CA	90028	USA	QRISK3	CLN-1098	Routine annual assessment
RS0020	Low	15.1	blank	P019	2022-10-02	14.3	4	Male	Latinx	Z00.129	Never	56	32	68.4	blank	Medicaid	blank	blank	blank	blank	blank	PediatricRisk	CLN-2001	Routine checkup

What the 200 rows show

from the 200-row sample

Critical (risk category) stands out: mean bmi is 59.5, against 24.0 for the rest.

24.3median bmi
4genders
4smoking statuses
5insurance types
11assessment methods
12address countries

Mean bmi by risk_category200 rows

bmi200 rows, in bands of 10

Median 24.3, from 12.1 to 80.0.

comorbidities76 rows with a value · 124 left blank

E11.9,E78.58
E66.98
E11.97
I10,E11.9,F17.25
E78.5,I10,E11.94
E11.9,I104
I104
E11.9,F17.2,J44.94
E78.5,I103
I10,E11.93

25 columns by typefrom the column list below

string 18
integer 3
float 3
date 1

Columns

25 columns in three groups

blueprint · 25 columns
column	type	description	example
Text 18 columns
`risk_score_id`	string	Unique identifier for each risk score recordunique	RS0001
`patient_id`	string	Unique identifier for the patient	P001
`risk_category`	string	Categorization of risk level based on scoreLow · Medium · High · Critical	Low
`gender`	string	Gender of the patientMale · Female · Other · Unknown	Female
`ethnicity`	string	Ethnic background of the patientoptional	Hispanic
`primary_diagnosis_code`	string	Primary diagnosis code (e.g., ICD-10) relevant to risk assessment	E11.9
`comorbidities`	string	Comma-separated list of comorbidity diagnosis codesoptional	E11.9
`smoking_status`	string	Smoking status of the patientNever · Former · Current · Unknown · optional	Never
`medications`	string	Comma-separated list of medication names or codesoptional	Metformin
`insurance_type`	string	Type of insurance coverage for the patientPrivate · Medicare · Medicaid · Uninsured · Other · optional	Private
`address_street`	string	Street address of the patientoptional	1720 Barton Springs Rd
`address_city`	string	City of the patientoptional	Austin
`address_state`	string	State or province of the patientoptional	TX
`address_postal_code`	string	Postal code of the patientoptional	78704
`address_country`	string	Country of the patient12 countries · optional	USA
`assessment_method`	string	Method or algorithm used for risk assessment11 methods	Framingham_v2
`assessor_id`	string	Identifier for the clinician or system who performed the assessmentoptional	CLN-1021
`notes`	string	Additional notes or comments about the assessmentoptional	Lifestyle counseling
Numbers 6 columns
`risk_score`	float	Calculated risk score for the patient0 or more	18.5
`age`	integer	Age of the patient at the time of assessment0 to 120	29
`bmi`	float	Body Mass Index of the patient10 to 80 · optional	23.4
`systolic_bp`	integer	Systolic blood pressure measurement50 to 250 · optional	124
`diastolic_bp`	integer	Diastolic blood pressure measurement30 to 150 · optional	82
`cholesterol_level`	float	Total cholesterol level (mg/dL)50 to 400 · optional	176.5
Dates and times 1 column
`assessment_date`	date	Date when the risk assessment was performed	2023-03-14

Use it for

A healthcare dashboard
Bmi by risk_category and a breakdown of comorbidities. Excel, Power BI or Tableau.
Why do the 19 Critical rows have a mean bmi of 59.5?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Risk scores200
RS000123.4Low
RS000227.1Medium
RS000314.7Low
A software demo
Believable risk scores with patient_id, assessment_date and risk_score to fill a screen in front of a buyer.

This dataset200 rows25 columns

Yours1,000 rows25 columnsaddress_street: UK only

blueprint · healthcare-risk-assessment-scores

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 25 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

Risk factors standardized
Score computed algorithmically
Follow-up interventions logged
Patient health outcomes tracked

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-risk-assessment-scores

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?