Healthcare datasets

Patient records, medical imaging, clinical trials

  • 221 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 221 cover1 square = 1 dataset
  • Patient care87
  • Hospital operations43
  • Pharmacy33
  • Claims & billing29
  • Devices & wearables17
  • Clinical trials12
Grouped by dataset title and tags.

221 datasets · page 7 of 10

Showing all 24 on this page

Devices & wearables

Multimodal Healthcare Device Readings

Unified, event-level view of patient health by integrating device telemetry

This dataset provides a unified, event-level view of patient health by integrating device telemetry, vital sign measurements, and laboratory results. Each record is timestamped and linked to both patient and device, enabling advanced multimodal AI research, cross-sensor data fusion, and holistic patient state modeling for healthcare analytics and clinical studies.

18 cols

  • device_type
  • reading_value
  • reading_unit
  • reading_status
  • +14
Open in factory
device_type
ECG
reading_value
74
reading_unit
bpm

Devices & wearables

Personalized Health Wearable Metrics

Heart rate, step counts, sleep stages, activity types, and calories burned

This dataset contains high-frequency, time-stamped health metrics collected from wearable devices, including heart rate, step counts, sleep stages, activity types, and calories burned. It supports multi-user, multi-device scenarios and is ideal for developing personalized wellness algorithms, sleep analysis, and preventative health models. The structure enables granular time-series analytics and integration with broader health informatics systems.

10 cols

  • heart_rate_bpm
  • steps_count
  • sleep_stage
  • sleep_duration_minutes
  • +6
Open in factory
heart_rate_bpm
47
sleep_stage
deep
sleep_duration_minutes
62

Pharmacy

Synthetic Pharmacy Prescription Orders

Patient, prescriber, medication, and pharmacy details

This dataset provides comprehensive, anonymized records of pharmacy prescription orders and medication fulfillment events, including patient, prescriber, medication, and pharmacy details. It enables robust analysis of medication adherence patterns and pharmacy workflow efficiency, supporting research, quality improvement, and operational analytics in healthcare settings.

27 cols

  • quantity_prescribed
  • prescription_written_date
  • prescription_expiration_date
  • medication_name
  • +23
Open in factory
quantity_prescribed
30
medication_name
Atorvastatin
medication_strength
20mg

Claims & billing

Healthcare-Insurance Claims Integration

Flat-structured view of healthcare insurance claims

This dataset provides a comprehensive, flat-structured view of healthcare insurance claims, tracking each claim's journey from clinical service through submission, adjudication, and payment. It includes detailed fields for patient, provider, payer, financials, service location, and claim status, making it ideal for process mining, compliance auditing, and cross-domain healthcare analytics.

25 cols

  • claim_status
  • claim_type
  • claim_submission_date
  • diagnosis_code
  • +21
Open in factory
claim_status
paid
claim_type
outpatient
diagnosis_code
E119

Patient care

Healthcare Diagnostic Imaging Metadata

Technical, clinical, and workflow attributes

This dataset provides comprehensive, structured metadata for simulated diagnostic medical images, including technical, clinical, and workflow attributes. It supports machine learning model development for image processing, anomaly detection, and workflow automation, with detailed fields for modality, patient, study, annotation, and device information. The dataset is ideal for benchmarking, model training, and workflow optimization in medical imaging.

24 cols

  • modality
  • body_part_examined
  • image_time
  • institution_name
  • +20
Open in factory
modality
CT
body_part_examined
Chest
institution_name
Metro General Hospital

Hospital operationsTop 10 most opened

Hospital Resource Utilization Dataset

Beds, staff, and equipment across departments and shifts

This dataset provides granular, time-stamped records of hospital resource utilization, including beds, staff, and equipment across departments and shifts. It enables detailed analysis and forecasting for operational planning, surge management, and cost optimization, making it ideal for AI-driven resource allocation and healthcare analytics. The dataset supports both real-time monitoring and historical trend analysis for improved hospital efficiency.

18 cols

  • hospital_name
  • resource_type
  • resource_subtype
  • resource_capacity
  • +14
Open in factory
hospital_name
Green Valley Medical Center
resource_type
bed
resource_subtype
ICU Bed

Patient care

Synthetic Healthcare Chatbot Conversations

Turn-by-turn logs of synthetic conversations between patients

This dataset contains detailed, turn-by-turn logs of synthetic conversations between patients and virtual healthcare assistants, annotated with intent and dialog act labels for each message. It enables benchmarking and development of conversational AI models for healthcare, supporting tasks such as intent classification, dialog management, and entity extraction. The dataset is ideal for researchers and practitioners building or evaluating medical chatbots and virtual health assistants.

11 cols

  • sender_type
  • message_text
  • intent_label
  • dialog_act
  • +7
Open in factory
sender_type
patient
intent_label
symptom_report
dialog_act
statement

Devices & wearables

Remote Health Monitoring Alerts

Alert types, severity, escalation actions, and resolution steps

This dataset provides detailed records of alerts generated by remote health monitoring devices, including alert types, severity, escalation actions, and resolution steps. It enables comprehensive tracking of patient safety events, device performance, and care team responses, supporting clinical workflows and quality improvement initiatives. The dataset is ideal for real-time monitoring, compliance auditing, and predictive analytics in healthcare environments.

17 cols

  • alert_type
  • alert_level
  • alert_message
  • threshold_value
  • +13
Open in factory
alert_type
heart_rate
alert_level
warning
threshold_value
110

Hospital operations

Hospital Emergency Visit Records

Patient demographics, triage assessments, vital signs, diagnoses

This dataset provides detailed, de-identified records of emergency department visits, including patient demographics, triage assessments, vital signs, diagnoses, procedures, and outcomes. It enables robust analysis of triage algorithms, patient flow, and clinical outcomes, supporting research and quality improvement in emergency medicine.

21 cols

  • visit_datetime
  • age
  • sex
  • triage_level
  • +17
Open in factory
age
4
sex
female
triage_level
3

PharmacyTop 10 most opened

Pharmacy Retail Purchase Events

Both over-the-counter and prescription medications

This dataset provides detailed, line-level records of pharmacy retail purchase events, including both over-the-counter and prescription medications. Each record captures transaction details, customer demographics (where available), product specifics, payment method, and prescription information, enabling comprehensive analysis of purchasing patterns, health trends, and market basket behaviors.

25 cols

  • transaction_datetime
  • store_name
  • customer_age
  • prescription_flag
  • +21
Open in factory
store_name
RxMart Downtown
customer_age
34
prescription_flag
false

Hospital operations

Healthcare Patient Referral Flows

Healthcare patient referral flows

This dataset provides a comprehensive view of healthcare patient referral flows, capturing detailed information on cross-provider referral patterns, delays, outcomes, and leakage events. It enables healthcare organizations to analyze care coordination, identify bottlenecks, and optimize referral processes to improve patient outcomes and reduce network leakage.

22 cols

  • referring_provider_name
  • referring_provider_type
  • referred_provider_name
  • referred_provider_type
  • +18
Open in factory
referring_provider_name
Dr. Amy Rogers
referring_provider_type
PCP
referred_provider_name
Dr. Brian Chen

Clinical trials

Patient Clinical Trial Adverse Events

Detailed event descriptions, severity, outcomes

This dataset provides a comprehensive, structured record of adverse events reported by participants in clinical trials, including detailed event descriptions, severity, outcomes, and relationships to study drugs. It enables robust safety monitoring, regulatory compliance, and in-depth analysis of clinical trial safety data across multiple sites and studies.

17 cols

  • event_term
  • event_severity
  • serious_event
  • event_outcome
  • +13
Open in factory
event_term
Headache
event_severity
Mild
serious_event
false

Patient care

Telehealth Session Engagement Metrics

Session timing, wait times, patient engagement actions, device usage

This dataset provides detailed, anonymized metrics from virtual healthcare sessions, including session timing, wait times, patient engagement actions, device usage, connection quality, and post-session feedback. It enables robust analysis of telehealth utilization, patient experience, and operational efficiency, supporting quality improvement and research in digital health delivery.

15 cols

  • session_start_time
  • session_end_time
  • session_duration_seconds
  • session_completed
  • +11
Open in factory
session_duration_seconds
1800
session_completed
true
patient_wait_time_seconds
23

Patient care

Healthcare Patient Survey Responses

Ratings on staff, communication, cleanliness, and outcomes

This dataset aggregates detailed, standardized patient satisfaction and outcome survey responses from hospitals and healthcare facilities, including ratings on staff, communication, cleanliness, and outcomes, along with patient demographics and visit details. It enables robust benchmarking, quality improvement, and predictive analytics for healthcare providers and researchers.

22 cols

  • survey_type
  • survey_version
  • patient_age
  • survey_overall_rating
  • +18
Open in factory
survey_type
HCAHPS
survey_version
2022.1
patient_age
74

Patient care

Chronic Disease Patient Registry

Demographics, diagnoses, clinical parameters, medications

This dataset provides a comprehensive registry of chronic disease patients, including demographics, diagnoses, clinical parameters, medications, and risk stratification metrics. It is designed to support advanced analytics, care management workflows, and risk prediction models for population health management and clinical decision support.

32 cols

  • primary_diagnosis
  • secondary_diagnoses
  • smoker_status
  • alcohol_use
  • +28
Open in factory
primary_diagnosis
hypertension
secondary_diagnoses
hyperlipidemia
smoker_status
never

Hospital operations

Hospital Resource Utilization Forecasts

Beds, staff, ventilators, and PPE, to support capacity planning

This dataset provides daily, hospital-level forecasts of resource utilization, including beds, staff, ventilators, and PPE, to support capacity planning and emergency response. Each record details projected needs and availability for specific resource types, along with confidence intervals and model metadata, enabling healthcare administrators and policymakers to anticipate surges and allocate resources efficiently.

24 cols

  • hospital_name
  • hospital_type
  • forecasted_beds_needed
  • forecasted_beds_available
  • +20
Open in factory
hospital_name
Starlake General Hospital
hospital_type
general
forecasted_beds_needed
468

Patient care

Patient Symptom Progression Records

Severity, duration, medication usage, and demographic information

This dataset provides detailed, time-stamped records of patient-reported symptoms, including severity, duration, medication usage, and demographic information. It enables comprehensive tracking of disease progression and supports advanced analytics and AI-based diagnostic research in healthcare. The structure is optimized for longitudinal studies and integration with clinical systems.

17 cols

  • symptom_name
  • symptom_severity
  • symptom_duration_days
  • symptom_onset_date
  • +13
Open in factory
symptom_name
headache
symptom_severity
5
symptom_duration_days
2

Pharmacy

Patient Medication Adherence Logs

Timestamped logs of patient adherence to prescribed medication regimens

This dataset provides detailed, timestamped logs of patient adherence to prescribed medication regimens, capturing scheduled and actual intake times, adherence status, and reasons for nonadherence. It enables healthcare providers to monitor compliance, identify patterns of missed doses, and design targeted interventions to improve patient outcomes and reduce hospital readmissions.

21 cols

  • medication_name
  • adherence_time
  • adherence_status
  • adherence_date
  • +17
Open in factory
medication_name
Lisinopril
adherence_status
on_time
dosage
20mg

Patient care

Synthetic Patient Health Trajectories

Demographics, clinical encounters, vital signs, laboratory results

This dataset provides comprehensive, longitudinal synthetic patient records simulating chronic disease progression, including demographics, clinical encounters, vital signs, laboratory results, medications, and outcomes. Designed for safe AI/ML experimentation, it enables time-series modeling, predictive analytics, and healthcare research without patient privacy risks.

27 cols

  • race
  • ethnicity
  • chronic_condition
  • encounter_type
  • +23
Open in factory
race
White
ethnicity
Not Hispanic or Latino
chronic_condition
Alzheimer's disease

Devices & wearables

Healthcare Wearable Vital Streams

Heart rate, blood pressure, respiratory rate, blood oxygen saturation

This dataset provides high-frequency, multi-sensor vital sign measurements from synthetic wearable devices, including heart rate, blood pressure, respiratory rate, blood oxygen saturation, and skin temperature. Each record is timestamped and linked to a user and device, with contextual information such as activity type, sensor status, and geolocation, making it ideal for time-series analysis, anomaly detection, and digital health research.

16 cols

  • heart_rate_bpm
  • blood_pressure_systolic
  • blood_pressure_diastolic
  • respiratory_rate
  • +12
Open in factory
heart_rate_bpm
62.5
blood_pressure_systolic
116
blood_pressure_diastolic
74

Claims & billing

Telemedicine Interaction Feedback

Ratings on satisfaction, communication, technical quality

This dataset contains detailed, structured feedback from synthetic telemedicine consultations, including ratings on satisfaction, communication, technical quality, and free-text comments. It captures patient demographics, consultation context, and device usage, making it ideal for analyzing patient experience, modeling satisfaction drivers, and optimizing telemedicine services.

20 cols

  • feedback_datetime
  • feedback_text
  • consultation_datetime
  • overall_satisfaction
  • +16
Open in factory
overall_satisfaction
5
provider_communication
5
technical_quality
5

Devices & wearables

Medical Device Usage Analytics

Patient and operator interactions with connected medical devices

This dataset provides detailed, synthetic logs of patient and operator interactions with connected medical devices, capturing device, user, compliance, and anomaly information. It enables comprehensive analysis of device usage patterns, operator behavior, procedural compliance, and early detection of anomalies or errors in clinical settings. The dataset is valuable for improving device usability, supporting regulatory audits, and enhancing patient safety.

18 cols

  • device_type
  • device_firmware_version
  • operator_role
  • interaction_type
  • +14
Open in factory
device_type
InfusionPump-X100
device_firmware_version
v2.5.1
operator_role
nurse

Patient careTop 10 most opened

Emergency Department Triage Patterns

Patient demographics, structured symptoms, vital signs, and triage outcomes

This dataset provides detailed records of emergency department triage decisions, including patient demographics, structured symptoms, vital signs, and triage outcomes. It enables urgent care optimization, patient flow modeling, and clinical research into triage patterns and outcomes. The comprehensive structure supports both operational analytics and advanced predictive modeling.

20 cols

  • triage_datetime
  • triage_level
  • triage_scale
  • age
  • +16
Open in factory
triage_level
2
triage_scale
CTAS
age
79

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

Real codes. Never real patients.

Code systems found in the sample rows of all 221 healthcare datasets.

Code systemDatasets using it, of 221
  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 221
  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
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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

A pattern you asked for Everything else

What should your data show?

Preview 20 rows free
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