Healthcare
30 columns
200 rows
8 formats

Patient Diagnostic Imaging Records

This dataset contains detailed, synthetic metadata for patient diagnostic imaging procedures, including patient demographics, procedure specifics, facility information, imaging equipment details, and AI analysis status. It is ideal for optimizing radiology workflows, training AI models for medical image analysis, and supporting operational analytics in healthcare settings.

last updated 20 Aug 2025
by GoMask

The brief that made it

Radiology workflow optimization and bottleneck analysis

Sample rows

preview · 8 of 200 rows · all 30 columns

record_idstring	report_statusstring	patient_ageinteger	contrast_usedboolean	facility_postal_codestring	patient_idstring	patient_genderstring	procedure_idstring	procedure_typestring	procedure_body_partstring	procedure_datedate	referring_physician_idstring	performing_technician_idstring	facility_idstring	facility_namestring	facility_street_addressstring	facility_citystring	facility_statestring	facility_countrystring	modality_manufacturerstring	modality_modelstring	image_countinteger	image_resolutionstring	diagnosis_codestring	diagnosis_descriptionstring	report_datetimedatetime	ai_analysis_flagboolean	ai_model_versionstring	ai_analysis_datetimedatetime	workflow_stagestring
RC-10000001	completed	12	false	98105	PAT-80001	female	PRC-30001	Ultrasound	Kidney	2023-01-15	PHY-70001	TEC-50001	FAC-60001	Seattle Children's Hospital	4800 Sand Point Way	Seattle	WA	USA	Philips	Affiniti 70	14	800x600	Q62.0	Congenital kidney anomaly detected	2023-01-16T09:22:00	false	blank	blank	reported
RC-10000002	completed	68	true	02115	PAT-80002	male	PRC-30002	CT	Hip	2023-02-04	PHY-70002	TEC-50002	FAC-60002	Boston Eldercare Center	93 Longwood Ave	Boston	MA	USA	Siemens	SOMATOM Definition AS	520	2048x2048	M16.9	Osteoarthritis of hip, unspecified	2023-02-04T14:35:00	true	AI-CT-v2.1	2023-02-04T15:10:00	archived
RC-10000003	reviewed	27	true	60612	PAT-80003	female	PRC-30003	MRI	Brain	2023-03-11	PHY-70003	TEC-50003	FAC-60003	Chicago Medical Imaging Center	1809 W Polk St	Chicago	IL	USA	GE Healthcare	Signa Premier	112	2048x2048	G43.9	Migraine, unspecified, no complications	2023-03-11T16:30:00	true	AI-MRI-v3.0	2023-03-11T17:11:00	reported
RC-10000004	completed	54	false	63108	PAT-80004	male	PRC-30004	X-ray	Chest	2023-04-02	PHY-70004	TEC-50004	FAC-60004	St Louis Radiology Clinic	4212 Lindell Blvd	St Louis	MO	USA	Carestream	DRX-Revolution	3	1024x1024	J18.9	Pneumonia, organism unspecified	2023-04-02T11:13:00	false	blank	blank	completed
RC-10000005	pending	36	false	10010	PAT-80005	female	PRC-30005	Mammography	Breast	2023-05-21	PHY-70005	TEC-50005	FAC-60005	New York Women's Medical Center	234 E 23rd St	New York	NY	USA	Hologic	Selenia Dimensions	26	2560x2048	N63	Breast lump, unspecified	blank	true	AI-MAM-v1.2	2023-05-21T13:09:00	in-progress
RC-10000006	amended	82	true	02115	PAT-80006	female	PRC-30006	PET	Full body	2023-06-08	PHY-70006	TEC-50006	FAC-60002	Boston Eldercare Center	93 Longwood Ave	Boston	MA	USA	Canon	Celesteion PET/CT	120	2048x2048	C80.1	Disseminated malignant neoplasm	2023-06-08T16:41:00	true	AI-PET-v2.0	2023-06-08T17:05:00	archived
RC-10000007	pending	6	false	85004	PAT-80007	male	PRC-30007	X-ray	Hand	2023-07-04	blank	TEC-50007	FAC-60006	Phoenix Pediatric Imaging	409 E Polk St	Phoenix	AZ	USA	Fujifilm	FDR D-EVO II	2	800x800	S62.5	Metacarpal fracture of hand	blank	false	blank	blank	scheduled
RC-10000008	completed	41	true	75201	PAT-80008	male	PRC-30008	CT	Chest	2023-08-17	PHY-70007	TEC-50008	FAC-60007	Dallas Diagnostic Center	2211 E Lamar Blvd	Dallas	TX	USA	Siemens	SOMATOM Force	480	2048x2048	J44.1	Chronic obstructive pulmonary disease	2023-08-17T10:14:00	false	blank	blank	completed
RC-10000009	amended	103	true	32803	PAT-80009	unknown	PRC-30009	Other	Spine	2023-09-02	blank	TEC-50009	FAC-60008	Legacy Memorial Hospital	1200 N Smith Ave	Orlando	FL	USA	Hitachi	Supria Plus	800	4096x4096	M48.0	Spinal stenosis, lumbar region	2023-09-02T13:02:00	true	AI-SPINE-v1.0	2023-09-02T14:01:00	archived
RC-10000010	reviewed	33	true	80209	PAT-80010	male	PRC-30010	MRI	Knee	2023-10-12	PHY-70008	TEC-50010	FAC-60009	Denver Sports Medicine	333 S Pearl St	Denver	CO	USA	Philips	Ingenia 3.0T	90	1024x1024	M23.51	Chronic tear of medial meniscus	2023-10-12T17:04:00	true	AI-MRI-v3.1	2023-10-12T17:32:00	reported
RC-10000011	completed	8	false	85004	PAT-80011	female	PRC-30011	Ultrasound	Heart	2023-11-05	PHY-70009	TEC-50011	FAC-60006	Phoenix Pediatric Imaging	409 E Polk St	Phoenix	AZ	USA	Canon	Aplio i800	22	800x600	Q24.9	Congenital heart disease, unspecified	2023-11-05T13:24:00	false	blank	blank	reported
RC-10000012	completed	47	true	92103	PAT-80012	male	PRC-30012	CT	Abdomen	2023-12-13	PHY-70010	TEC-50012	FAC-60010	San Diego Medical Center	200 W Arbor Dr	San Diego	CA	USA	GE Healthcare	Revolution CT	650	2048x2048	K57.30	Diverticulosis of colon, unspecified	2023-12-13T18:48:00	true	AI-CT-v2.3	2023-12-13T19:21:00	archived
RC-10000013	completed	38	false	10010	PAT-80013	female	PRC-30013	Mammography	Breast	2024-01-09	PHY-70011	TEC-50013	FAC-60005	New York Women's Medical Center	234 E 23rd St	New York	NY	USA	Hologic	Selenia Dimensions	28	2560x2048	R92.8	Abnormal mammogram, Breast	2024-01-09T11:02:00	true	AI-MAM-v1.2	2024-01-09T11:55:00	reported
RC-10000014	amended	72	true	48201	PAT-80014	male	PRC-30014	PET	Brain	2024-02-06	PHY-70012	TEC-50014	FAC-60011	Detroit Neuroscience Center	4201 St Antoine St	Detroit	MI	USA	Philips	Vereos PET/CT	98	2048x1536	F03.90	Unspecified dementia without behavioral disturbance	2024-02-06T16:15:00	true	AI-PET-v2.1	2024-02-06T16:59:00	archived
RC-10000015	reviewed	30	true	55415	PAT-80015	other	PRC-30015	MRI	Spine	2024-03-23	PHY-70013	TEC-50015	FAC-60012	Minneapolis Imaging Center	701 Park Ave	Minneapolis	MN	USA	Hitachi	Echelon Oval	104	2048x2048	M50.20	Cervical disc disorder, unspecified	2024-03-23T13:36:00	true	AI-MRI-v2.9	2024-03-23T14:15:00	reported
RC-10000016	pending	59	false	10010	PAT-80016	female	PRC-30016	Ultrasound	Pelvis	2024-04-08	PHY-70014	TEC-50016	FAC-60005	New York Women's Medical Center	234 E 23rd St	New York	NY	USA	Philips	EPIQ 7	19	800x600	N80.0	Endometriosis of uterus detected	blank	false	blank	blank	in-progress
RC-10000017	completed	49	true	92103	PAT-80017	male	PRC-30017	CT	Abdomen	2024-05-01	PHY-70015	TEC-50017	FAC-60010	San Diego Medical Center	200 W Arbor Dr	San Diego	CA	USA	Canon	Aquilion Prime SP	420	2048x2048	K80.20	Calculus of gallbladder with acute cholecystitis	2024-05-01T10:48:00	true	AI-CT-v2.4	2024-05-01T11:21:00	completed
RC-10000018	pending	5	false	85004	PAT-80018	male	PRC-30018	X-ray	Sinuses	2024-06-17	blank	TEC-50018	FAC-60006	Phoenix Pediatric Imaging	409 E Polk St	Phoenix	AZ	USA	Carestream	DRX-Plus	2	640x480	J32.9	Chronic sinusitis, unspecified	blank	false	blank	blank	scheduled
RC-10000019	completed	44	true	97216	PAT-80019	female	PRC-30019	MRI	Chest	2024-07-12	PHY-70016	TEC-50019	FAC-60013	Portland Imaging Center	10000 SE Main St	Portland	OR	USA	GE Healthcare	Discovery MR750w	66	1024x1024	J98.09	Other respiratory disorders, Chest	2024-07-12T09:37:00	true	AI-MRI-v3.2	2024-07-12T10:00:00	reported
RC-10000020	amended	70	true	30308	PAT-80020	female	PRC-30020	CT	Full body	2024-08-29	PHY-70017	TEC-50020	FAC-60014	Atlanta General Hospital	550 Peachtree St NE	Atlanta	GA	USA	Siemens	SOMATOM Edge	700	4096x4096	Z00.00	General medical exam, Full body	2024-08-29T18:14:00	true	AI-CT-v2.5	2024-08-29T19:02:00	archived

What the 200 rows show

from the 200-row sample

Amended (report status) stands out: mean patient_age is 84.0, against 37.0 for the rest.

56%contrast_used = true
37.5median patient_age
4patient genders
5workflow stages
7procedure types
8modality manufacturers

Mean patient_age by report_status200 rows

patient_age200 rows, in bands of 20

Median 37.5, from 4 to 106.

facility_postal_code200 rows · top 10 of 38 values

9810516
7520110
9810410
850189
951139
100108
328038
981098
921018
328018

30 columns by typefrom the column list below

string 23
integer 2
date 1
datetime 2
boolean 2

Columns

30 columns in four groups

blueprint · 30 columns
column	type	description	example
Text 23 columns
`record_id`	string	Unique identifier for each diagnostic imaging recordunique	RC-10000001
`patient_id`	string	Unique identifier for the patient associated with the imaging procedure	PAT-80001
`patient_gender`	string	Gender of the patientmale · female · other · unknown	female
`procedure_id`	string	Unique identifier for the imaging procedure	PRC-30001
`procedure_type`	string	Type of diagnostic imaging procedure performed7 values	Ultrasound
`procedure_body_part`	string	Body part or anatomical region imaged	Kidney
`referring_physician_id`	string	Unique identifier for the physician who referred the patientoptional	PHY-70001
`performing_technician_id`	string	Unique identifier for the technician who performed the procedureoptional	TEC-50001
`facility_id`	string	Unique identifier for the medical facility where the procedure was performed	FAC-60001
`facility_name`	string	Name of the medical facilityoptional	Boston Eldercare Center
`facility_street_address`	string	Street address of the medical facilityoptional	4800 Sand Point Way
`facility_city`	string	City where the medical facility is locatedoptional	Seattle
`facility_state`	string	State or province of the medical facilityoptional	WA
`facility_postal_code`	string	Postal code of the medical facilityoptional	98105
`facility_country`	string	Country where the medical facility is locatedoptional	USA
`modality_manufacturer`	string	Manufacturer of the imaging equipment8 manufacturers · optional	Philips
`modality_model`	string	Model of the imaging equipmentoptional	Affiniti 70
`image_resolution`	string	Resolution of the images (e.g., 512x512)9 resolutions · optional	800x600
`diagnosis_code`	string	Primary diagnosis code (e.g., ICD-10) associated with the procedureoptional	Q62.0
`diagnosis_description`	string	Text description of the diagnosisoptional	Breast lump, unspecified
`report_status`	string	Status of the radiology reportpending · completed · reviewed · amended	completed
`ai_model_version`	string	Version of the AI model used for image analysisoptional	AI-CT-v2.1
`workflow_stage`	string	Current workflow stage of the imaging recordscheduled · in-progress · completed · reported · archived · optional	reported
Numbers 2 columns
`patient_age`	integer	Age of the patient at the time of procedure0 to 120	12
`image_count`	integer	Number of images produced during the procedure1 or more · optional	14
Dates and times 3 columns
`procedure_date`	date	Date when the imaging procedure was performed	2023-01-15
`report_datetime`	datetime	Date and time when the radiology report was finalizedoptional	2023-01-16T09:22:00
`ai_analysis_datetime`	datetime	Date and time when AI analysis was performedoptional	2023-02-04T15:10:00
True or false 2 columns
`contrast_used`	boolean	Indicates if contrast agent was used during the procedureoptional	false
`ai_analysis_flag`	boolean	Indicates if the images were processed by an AI modeloptional	false

Use it for

A healthcare dashboard
The contrast_used rate, patient_age by report_status and a breakdown of facility_postal_code. Excel, Power BI or Tableau.
Why do the 24 amended rows have a mean patient_age of 84.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Records200
RC-1000000112completed
RC-1000000268completed
RC-1000000327reviewed
A software demo
Believable records with patient_id, patient_age and patient_gender to fill a screen in front of a buyer.

This dataset200 rows30 columns

Yours1,000 rows30 columnsfacility_street_address: UK only

blueprint · patient-diagnostic-imaging-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 30 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

Imaging modality recorded
Procedure duration logged
Referral reason annotated
Finding outcome categorized

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: patient-diagnostic-imaging-records

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?