Healthcare datasets

Patient records, medical imaging, clinical trials

  • 222 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 222 cover1 square = 1 dataset
  • Patient care87
  • Hospital operations43
  • Pharmacy34
  • Claims & billing29
  • Devices & wearables17
  • Clinical trials12
Grouped by dataset title and tags.

222 datasets · page 8 of 10

Showing all 24 on this page

Patient care

Medical Imaging Report Generation

Paired medical imaging metadata and detailed radiology-style report texts

This dataset provides paired medical imaging metadata and detailed radiology-style report texts, enabling the development and evaluation of AI models for automated report generation. Each record links imaging attributes, patient demographics, and structured report sections, making it ideal for natural language processing, computer vision, and clinical decision support research.

20 cols

  • report_datetime
  • report_text
  • modality
  • body_part_examined
  • +16
Open in factory
modality
X-ray
body_part_examined
Chest
image_view
PA

Patient care

Healthcare Imaging Plus EHR Fusion

Longitudinal synthetic patient records that integrate structured electronic health

This dataset provides comprehensive, longitudinal synthetic patient records that integrate structured electronic health record (EHR) data with detailed medical imaging metadata. It enables multi-modal diagnostic research, AI model development, and healthcare analytics by linking patient demographics, encounters, clinical events, imaging studies, and AI-generated findings in a flat, analysis-ready format.

34 cols

  • imaging_modality
  • imaging_body_part
  • imaging_report_text
  • imaging_file_path
  • +30
Open in factory
sex
male
race
Asian
encounter_type
outpatient

Patient care

Radiology Report Text Extraction

Radiology report texts with structured fields for patient demographics

This dataset contains synthetic radiology report texts with structured fields for patient demographics, imaging modality, body part examined, and detailed report content. It includes optional annotations for clinical entities, report classifications, and summaries, making it ideal for developing and benchmarking NLP models in medical imaging. The dataset supports entity recognition, classification, and summarization tasks, facilitating research in healthcare AI and clinical decision support.

12 cols

  • report_text
  • impression_text
  • report_classification
  • summary_text
  • +8
Open in factory
report_classification
Normal
modality
X-ray
body_part_examined
Chest

Devices & wearables

Medical Device Sensor Streams

User and device identifiers, sensor types, measured values

This dataset contains granular, timestamped sensor readings from wearable medical devices, including user and device identifiers, sensor types, measured values, and contextual metadata. It enables advanced research in health monitoring, anomaly detection, device performance, and personalized care analytics, supporting both clinical and consumer health applications.

14 cols

  • sensor_type
  • sensor_value
  • sensor_status
  • device_model
  • +10
Open in factory
sensor_type
heart_rate
sensor_value
74.3
sensor_status
normal

Devices & wearables

Healthcare Device Fault Incident Logs

Operational hours at failure, error codes, severity

This dataset provides detailed logs of healthcare device fault incidents, including operational hours at failure, error codes, severity, and maintenance actions taken. It enables predictive maintenance, root cause analysis, and reliability modeling for clinical technology environments, supporting improved uptime and patient safety.

15 cols

  • device_type
  • device_location
  • incident_datetime
  • operational_hours_at_incident
  • +11
Open in factory
device_type
CT Scanner Pro 7000
device_location
Radiology, 2nd Floor
operational_hours_at_incident
0.01

Patient careTop 10 most opened

Patient Vital Sign Time Series

Heart rate, blood pressure, respiratory rate, oxygen saturation

This dataset provides high-frequency, time-stamped vital sign measurements for anonymized patients, including heart rate, blood pressure, respiratory rate, oxygen saturation, body temperature, and consciousness level. Designed for health monitoring and early warning system development, it supports longitudinal patient analysis and real-time clinical decision support. Device and location metadata enable context-aware analytics and integration with hospital systems.

14 cols

  • heart_rate
  • respiratory_rate
  • systolic_bp
  • diastolic_bp
  • +10
Open in factory
heart_rate
82
respiratory_rate
16
systolic_bp
124

Pharmacy

Prescription Drug Purchase Trends

Information on drugs, pharmacies, prescribers, and patient demographics

This dataset provides detailed, transaction-level records of prescription drug purchases across multiple pharmacies, including information on drugs, pharmacies, prescribers, and patient demographics. It is ideal for analyzing purchase trends, forecasting demand, optimizing inventory, and supporting public health research or regulatory oversight. The dataset's granularity enables deep insights into drug utilization patterns and supply chain efficiency.

22 cols

  • drug_name
  • drug_strength
  • drug_form
  • quantity_purchased
  • +18
Open in factory
drug_name
Atorvastatin
drug_strength
20mg
drug_form
tablet

Patient care

Patient Satisfaction Survey Responses

Quantitative ratings on various aspects of care

This dataset contains detailed patient satisfaction survey responses from hospital patients, including quantitative ratings on various aspects of care and open-ended feedback for improvement. It enables comprehensive analysis of patient experience by department, facility, and demographic factors, supporting quality improvement and benchmarking initiatives.

18 cols

  • overall_satisfaction_score
  • response_language
  • survey_date
  • department
  • +14
Open in factory
overall_satisfaction_score
9
response_language
English
department
Cardiology

Patient care

Healthcare Chatbot Interaction Logs

Healthcare chatbot interactions, capturing every message exchanged

This dataset provides detailed, structured logs of healthcare chatbot interactions, capturing every message exchanged, detected intents, response times, and user feedback. It enables comprehensive analysis of patient engagement, chatbot performance, and conversational trends, supporting improvements in digital healthcare delivery and patient satisfaction.

16 cols

  • sender_type
  • message_text
  • intent
  • entities
  • +12
Open in factory
sender_type
user
intent
symptom_report
entities
headache,fever

Claims & billing

Outpatient Clinic Visit Feedback

Satisfaction ratings, comments, and key experience metrics

This dataset contains detailed, structured feedback from patients following outpatient clinic visits, including satisfaction ratings, comments, and key experience metrics. It enables healthcare organizations to analyze patient experience, identify areas for improvement, and monitor the impact of quality initiatives at the clinic and provider level.

19 cols

  • visit_date
  • feedback_date
  • overall_satisfaction
  • wait_time_rating
  • +15
Open in factory
overall_satisfaction
5
wait_time_rating
5
staff_friendliness_rating
5

Hospital operations

Healthcare Specialist Wait Times

Specialty and facility identifiers, location details

This dataset provides detailed information on average wait times for healthcare specialists across various facilities, including specialty and facility identifiers, location details, and wait time statistics. It enables healthcare providers and administrators to manage patient expectations, optimize resource allocation, and benchmark performance across specialties and locations. The data is ideal for operational analysis, patient communication, and healthcare service planning.

15 cols

  • specialty_name
  • average_wait_time_minutes
  • wait_time_range_min_minutes
  • wait_time_range_max_minutes
  • +11
Open in factory
specialty_name
Cardiology
average_wait_time_minutes
142.3
wait_time_range_min_minutes
75.2

Hospital operations

Doctor Referral Network Connections

Provider identifiers, specialties, referral reasons, dates, and statuses

This dataset details provider-to-provider referral connections within healthcare networks, including provider identifiers, specialties, referral reasons, dates, and statuses. It enables comprehensive analysis of referral patterns, network efficiency, and patient flow optimization, supporting both operational improvements and research into care coordination.

22 cols

  • referring_provider_npi
  • referring_provider_name
  • referring_provider_specialty
  • referring_provider_organization
  • +18
Open in factory
referring_provider_npi
1678953021
referring_provider_name
Dr. Alice Nguyen
referring_provider_specialty
Family Medicine

Hospital operations

Medical Appointment Booking Patterns

Medical appointment bookings, capturing patient demographics

This dataset provides detailed records of medical appointment bookings, capturing patient demographics, booking channels, scheduling lead times, provider and clinic details, and appointment outcomes. It enables analysis of patient booking behaviors, identification of optimal scheduling windows, and detection of overbooking trends to improve healthcare operational efficiency and patient experience.

22 cols

  • appointment_time
  • booking_datetime
  • booking_channel
  • appointment_type
  • +18
Open in factory
booking_channel
online
appointment_type
checkup
appointment_status
completed

Patient care

Telemedicine Session Audio Transcripts

Transcripts of telemedicine consultations, capturing speaker roles

This dataset provides detailed, time-stamped transcripts of telemedicine consultations, capturing speaker roles, utterance sequences, and session metadata for each interaction. Designed for training and evaluating healthcare NLP assistants, it enables research in medical dialogue understanding, intent recognition, and clinical documentation automation while supporting privacy and compliance requirements.

19 cols

  • session_start_datetime
  • session_end_datetime
  • transcript_source
  • provider_role
  • +15
Open in factory
transcript_source
manual
provider_role
physician
language
en

Claims & billing

Prescription Drug Price Tracking

Detailed drug identifiers, pharmacy locations, pricing

This dataset provides a comprehensive record of prescription drug prices across multiple pharmacies, including detailed drug identifiers, pharmacy locations, pricing, insurance acceptance, and discount availability. It enables robust cost analysis, price comparison, and supports healthcare networks in optimizing pricing strategies and improving patient access to affordable medications.

22 cols

  • drug_ndc
  • drug_name
  • price
  • price_effective_date
  • +18
Open in factory
drug_ndc
12345-6789-01
drug_name
Atorvastatin
price
12.99

Hospital operations

Healthcare Appointment No-Show Prediction

Healthcare appointment bookings, enriched with patient demographics

This dataset provides detailed logs of healthcare appointment bookings, enriched with patient demographics, medical history, and communication records such as reminders. It enables comprehensive analysis of no-show risk factors, supports predictive modeling, and helps optimize scheduling efficiency in clinical settings.

37 cols

  • appointment_datetime
  • appointment_status
  • no_show
  • previous_no_show_count
  • +33
Open in factory
appointment_status
attended
no_show
false
previous_no_show_count
0

Patient care

Patient Health Record Summaries

Detailed information on encounters, diagnoses, laboratory results

This dataset provides anonymized, longitudinal summaries of patient health records, including detailed information on encounters, diagnoses, laboratory results, and medications. Designed for cohort analysis and predictive healthcare modeling, it enables researchers and analysts to track patient journeys, identify trends, and develop clinical insights while maintaining strict privacy standards.

23 cols

  • encounter_type
  • age_at_encounter
  • sex
  • race_ethnicity
  • +19
Open in factory
encounter_type
inpatient
age_at_encounter
85
sex
female

Patient care

Healthcare Symptom Progression Diary

Longitudinal records of patient-reported symptoms, severity

This dataset provides detailed, longitudinal records of patient-reported symptoms, severity, medication usage, and physiological metrics, enabling robust analysis of disease progression and patient health trajectories. Each entry is timestamped and linked to an anonymized patient, supporting digital health research, symptom tracking, and predictive modeling for clinical outcomes.

15 cols

  • symptom_name
  • symptom_severity
  • symptom_duration_hours
  • entry_datetime
  • +11
Open in factory
symptom_name
cough
symptom_severity
3
symptom_duration_hours
2.5

Claims & billing

Healthcare Claims Diagnosis Patterns

Detailed ICD diagnosis codes, patient demographic profiles, claim amounts

This dataset provides anonymized, multi-table healthcare insurance claims data, including detailed ICD diagnosis codes, patient demographic profiles, claim amounts, and risk adjustment scores. It enables robust analysis of diagnosis trends, risk stratification, and healthcare utilization patterns for research, actuarial modeling, and quality improvement initiatives.

18 cols

  • diagnosis_code_1
  • diagnosis_code_2
  • diagnosis_code_3
  • claim_amount
  • +14
Open in factory
diagnosis_code_1
E11.9
diagnosis_code_2
I10
claim_amount
175

Hospital operations

Hospital Staff Shift Scheduling

Assignments, shift swaps, absences, and overtime metrics

This dataset provides detailed, structured records of hospital staff shift schedules, including assignments, shift swaps, absences, and overtime metrics. It enables comprehensive workforce analytics, compliance monitoring, and operational optimization for healthcare organizations seeking to improve staff management and patient care.

17 cols

  • staff_name
  • shift_start_time
  • shift_end_time
  • shift_type
  • +13
Open in factory
staff_name
Dr. Emily M. King
shift_type
day
role
doctor

Claims & billing

Healthcare Procedure Cost Benchmarks

Detailed provider information, standardized procedure codes

This dataset provides comprehensive synthetic benchmarks for healthcare procedure costs across providers, including detailed provider information, standardized procedure codes, benchmark types (mean, median, percentiles), and effective dates. Designed to support cost transparency, price comparison, and analytics, it enables users to analyze pricing patterns by provider, procedure, payer type, and geography for informed decision-making and policy development.

20 cols

  • procedure_code
  • procedure_code_type
  • benchmark_type
  • benchmark_value
  • +16
Open in factory
procedure_code
99213
procedure_code_type
CPT
benchmark_type
median

Clinical trials

Healthcare Clinical Trial Simulation

Demographics, treatment assignments, protocol compliance, outcomes

This synthetic clinical trial dataset provides detailed, patient-level records for multi-arm studies, including demographics, treatment assignments, protocol compliance, outcomes, and adverse event tracking. It is ideal for modeling trial efficacy, safety profiles, and protocol adherence in simulated or methodological research. The flat structure ensures compatibility with statistical and machine learning tools for rapid analysis and simulation.

21 cols

  • age
  • sex
  • ethnicity
  • baseline_condition
  • +17
Open in factory
age
5
sex
male
ethnicity
Caucasian

Hospital operations

Healthcare Diagnostic Test Waitlists

Test types, patient demographics (anonymized), wait times

This dataset provides detailed, up-to-date information on waitlists for diagnostic tests across multiple healthcare facilities, including test types, patient demographics (anonymized), wait times, and scheduling status. It is designed to support capacity management, identify bottlenecks, and enable data-driven improvements in healthcare service delivery. The dataset is ideal for operational analytics, resource planning, and policy evaluation.

21 cols

  • test_type
  • test_code
  • waitlist_date
  • facility_name
  • +17
Open in factory
test_type
MRI
test_code
CPT-70551
facility_name
Midtown Diagnostic Center

Patient care

Medical Imaging Diagnosis Labels

Expertly labeled medical images with standardized diagnostic codes

This dataset provides expertly labeled medical images with standardized diagnostic codes, modality and anatomical region metadata, and annotator confidence scores. Designed for supervised learning in medical AI, it enables robust model training, benchmarking, and workflow optimization for automated image diagnosis. The inclusion of label verification and detailed provenance supports clinical validation and regulatory compliance.

14 cols

  • diagnosis_code
  • diagnosis_label
  • label_confidence
  • label_verified
  • +10
Open in factory
diagnosis_code
J18.9
diagnosis_label
Pneumonia, unspecified organism
label_confidence
0.96

Real codes. Never real patients.

Code systems found in the sample rows of all 222 healthcare datasets.

Code systemDatasets using it, of 222
  1. ICD-10diagnoses41I10 · E11.9 · J45.909
  2. CPTprocedures2699213 · CPT99214 · 99233
  3. NPIUS providers51865478910 · 4871920382 · 3042157890
  4. LOINClab tests32345-7 · 718-7
  5. CARCdenial reasons3CO16 · CO-16
  6. NDCdrug products312345-6789-01 · 00093051230
  7. DRGinpatient groups2291
  8. HCCrisk adjustment2HCC18 · HCC19
  9. MedDRAadverse events110029205
A patient from the EOB datasetGenerated
patient_first_name
Emily
patient_last_name
Stevens
patient_date_of_birth
1986-05-14
patient_city
Springfield
service_code
99213
service_description
Office/outpatient visit, established patient

Generated   Real code

Most common columnsDatasets, of 222
  1. patient_id159
  2. provider_id54
  3. department26
  4. diagnosis_code24
  5. medication_name21

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • Over-75s readmitted 2×
  • Real ICD-10 codes
  • 3% missing dates
Preview 20 rows freeNo signup. No card.
30-day readmission rate by age
0%15%30%9%18–4411%45–6412%65–7423%75+1
Sample rows for: Discharges from 6 wards, where patients over 75 are readmitted within 30 days twice as often, with real ICD-10 codes and 3% of discharge dates missing.
ageprimary_dxdischarge_datereadmit_30d
81I50.92024-03-14yes
52E11.92024-03-14no
77J44.1—yes
64N18.32024-03-15no

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