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 9 of 10

Showing all 24 on this page

Hospital operations

Hospital Equipment Usage Schedules

Scheduling, actual usage, responsible staff, downtime events

This dataset provides detailed, time-stamped logs of high-value hospital equipment usage, including scheduling, actual usage, responsible staff, downtime events, and usage purposes. It enables hospitals to optimize resource allocation, minimize equipment downtime, and analyze utilization patterns for operational efficiency and patient care improvement.

19 cols

  • equipment_name
  • equipment_type
  • hospital_name
  • scheduled_start_time
  • +15
Open in factory
equipment_type
MRI
hospital_name
North Valley Medical Center
usage_status
completed

Devices & wearables

Healthcare Device Utilization Metrics

Device details, facility location, usage duration, operator roles

This dataset provides granular, timestamped records of medical device usage across healthcare facilities, including device details, facility location, usage duration, operator roles, and operational status. It enables healthcare organizations to analyze utilization patterns, optimize resource allocation, and inform procurement or maintenance strategies for critical medical equipment.

23 cols

  • device_name
  • device_type
  • utilization_type
  • device_status
  • +19
Open in factory
device_name
Siemens Magnetom Aera
device_type
MRI
utilization_type
patient

Pharmacy

Healthcare Patient Medication Adherence

Patient medication adherence, combining pharmacy pickup/refill records

This dataset provides a comprehensive view of patient medication adherence, combining pharmacy pickup/refill records with self-reported adherence and intervention tracking. It enables healthcare providers and researchers to identify nonadherence patterns, evaluate intervention effectiveness, and improve patient outcomes through targeted strategies.

21 cols

  • adherence_score
  • self_reported_adherence
  • medication_name
  • medication_dosage
  • +17
Open in factory
adherence_score
0.97
self_reported_adherence
always
medication_name
Atorvastatin

Hospital operations

Hospital Staff Shift Schedules

Staff roles, departments, shift timings, and location information

This dataset provides detailed records of hospital staff shift schedules, including staff roles, departments, shift timings, and location information. It enables comprehensive workforce planning, shift optimization, and compliance tracking for healthcare operations. The dataset supports analysis of staffing patterns, overtime, and holiday coverage to improve hospital efficiency and patient care.

19 cols

  • staff_role
  • shift_start_time
  • shift_end_time
  • shift_type
  • +15
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staff_role
Nurse
shift_type
Day
department
Emergency

Patient care

Patient Chronic Illness Progression

Longitudinal records of patients with chronic illnesses

This dataset provides detailed, longitudinal records of patients with chronic illnesses, capturing demographic information, diagnoses, visit-level observations, treatments, laboratory results, and outcomes. Designed for healthcare research and predictive analytics, it enables tracking of disease progression, treatment efficacy, and patient outcomes over time.

28 cols

  • sex
  • race_ethnicity
  • diagnosis_code
  • provider_specialty
  • +24
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sex
male
race_ethnicity
Hispanic/Latino
diagnosis_code
I50.9

Claims & billing

Healthcare Billing Anomaly Records

Anomaly types, severity, financial details, and review statuses

This dataset provides detailed records of healthcare billing events flagged for potential fraud or errors, including anomaly types, severity, financial details, and review statuses. It enables robust revenue cycle analytics, compliance monitoring, and supports investigations into improper billing practices. The structured schema facilitates integration with fraud detection systems and regulatory reporting.

21 cols

  • anomaly_type
  • anomaly_severity
  • anomaly_score
  • billing_date
  • +17
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anomaly_type
upcoding
anomaly_severity
high
anomaly_score
87.4

Patient care

Patient Symptom Chat Conversations

Patient-health agent chat transcripts annotated with symptoms, advice

This dataset contains synthetic patient-health agent chat transcripts annotated with symptoms, advice, triage urgency ratings, and outcomes. It is ideal for developing and benchmarking conversational health AI, triage models, and patient interaction analytics, supporting research in digital health and clinical decision support.

18 cols

  • chat_start_datetime
  • chat_end_datetime
  • symptom_primary
  • symptom_secondary
  • +14
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symptom_primary
headache
symptom_duration
2 days
symptom_severity
2

Patient care

Genomic Variant Disease Associations

Detailed genomic coordinates, variant types, disease associations

This dataset provides a comprehensive mapping of genetic variants to disease risk, including detailed genomic coordinates, variant types, disease associations, statistical evidence, and machine learning-based pathogenicity annotations. Designed for bioinformatics and ML research, it enables advanced analysis of genotype-phenotype relationships, risk prediction, and variant prioritization for clinical or research applications.

20 cols

  • variant_type
  • disease_name
  • association_type
  • chromosome
  • +16
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variant_type
SNP
disease_name
Hereditary breast cancer
association_type
risk

Pharmacy

Healthcare Prescription Pattern Analysis

Patient demographics, prescriber characteristics, drug details

This dataset provides detailed synthetic records of prescription events, including patient demographics, prescriber characteristics, drug details, and prescription parameters. Designed for healthcare analytics, it enables the identification of unusual prescribing patterns, supports compliance monitoring, and facilitates research into medication usage trends and risk management.

20 cols

  • prescriber_specialty
  • prescription_status
  • prescription_date
  • drug_name
  • +16
Open in factory
prescriber_specialty
Internal Medicine
prescription_status
filled
drug_name
Sertraline

Devices & wearables

Healthcare Wearable Device Readings

Heart rate, steps, SpO2, and sleep stages, along with device

This dataset contains time-stamped, multi-vital sign readings from wearable health devices, including heart rate, steps, SpO2, and sleep stages, along with device and data quality metadata. Designed for health monitoring, anomaly detection, and longitudinal analysis, it enables researchers and clinicians to track user health trends, detect anomalies, and assess data reliability at scale.

11 cols

  • device_battery_level
  • heart_rate_bpm
  • steps_count
  • spo2_percent
  • +7
Open in factory
device_battery_level
81
heart_rate_bpm
75
steps_count
0

Patient care

Clinical Notes Image Matching

Mapping between de-identified clinical notes

This dataset provides a comprehensive mapping between de-identified clinical notes and their corresponding diagnostic images, enabling advanced research in multi-modal AI for healthcare. Each entry includes rich metadata for both text and imaging, supporting tasks such as automated diagnosis, cross-modal retrieval, and explainable AI in clinical settings.

13 cols

  • image_type
  • image_file_path
  • match_confidence
  • image_date
  • +9
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image_type
X-ray
image_file_path
/images/xray/P10001_20190312.png
match_confidence
0.98

Patient care

Patient Health Risk Factor Scores

Demographic data, clinical measurements

This dataset provides detailed records of patient health risk assessments, including demographic data, clinical measurements, and calculated risk factor scores for chronic disease prediction. It is ideal for population health analytics, risk stratification, and supporting proactive care management in healthcare settings.

21 cols

  • risk_factor_score
  • risk_category
  • age
  • sex
  • +17
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risk_factor_score
7.4
risk_category
low
age
27

Patient care

Healthcare Patient Acuity Levels

Simulated hospital patient admission records with detailed acuity scores

This dataset provides simulated hospital patient admission records with detailed acuity scores and categorical labels, supporting advanced triage modeling and resource planning. It includes patient demographics, diagnoses, admission details, and outcome data, making it ideal for healthcare analytics, operational optimization, and predictive modeling of patient care needs.

16 cols

  • acuity_score
  • acuity_level
  • admission_datetime
  • discharge_datetime
  • +12
Open in factory
acuity_score
1.4
acuity_level
low
age
0

Patient care

Healthcare Telemedicine Session Logs

Session timing, medical specialty, technical issues encountered

This dataset provides detailed, session-level logs of virtual healthcare visits, including session timing, medical specialty, technical issues encountered, and patient feedback. It enables comprehensive analysis of telemedicine operations, quality of care, and technical performance, supporting optimization of virtual healthcare delivery and patient satisfaction.

22 cols

  • session_start_time
  • session_end_time
  • session_duration_minutes
  • session_status
  • +18
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session_duration_minutes
35
session_status
completed
specialty
general_practice

Hospital operations

Patient Appointment No-show Logs

Patient demographics, appointment details, reminders

This dataset provides detailed logs of scheduled healthcare appointments, including patient demographics, appointment details, reminders, and attendance outcomes (attended, no-show, or cancelled). It enables comprehensive analysis of patient attendance patterns, supports predictive modeling for no-shows, and helps optimize healthcare resource allocation.

26 cols

  • patient_name
  • appointment_time
  • appointment_type
  • no_show
  • +22
Open in factory
patient_name
Ava Müller
appointment_type
immunization
no_show
false

Clinical trials

Clinical Trial Patient Records

Patient demographics, treatment assignments, progress tracking

This dataset provides comprehensive, subject-level records from simulated clinical trials, including patient demographics, treatment assignments, progress tracking, and outcome measures. It supports robust biostatistical analyses and machine learning applications for clinical research, safety monitoring, and predictive modeling of trial outcomes.

20 cols

  • age
  • sex
  • race_ethnicity
  • treatment_group
  • +16
Open in factory
age
42
sex
female
race_ethnicity
White

Patient care

Labeled Healthcare Image Annotations

Labeled medical images (such as X-rays

This dataset contains synthetic, labeled medical images (such as X-rays and MRIs) with detailed annotations for use in computer vision model training and diagnostic tool development. Each record includes image metadata, patient demographics, annotation details (including spatial data and confidence scores), and diagnostic labels, making it ideal for research, benchmarking, and algorithm validation in medical imaging.

20 cols

  • image_modality
  • image_width
  • image_height
  • image_resolution_dpi
  • +16
Open in factory
image_modality
X-ray
image_width
2048
image_height
2048

Hospital operations

Hospital Readmission Risk Factors

Hospital admissions, capturing patient demographics, clinical diagnoses

This dataset provides detailed records of hospital admissions, capturing patient demographics, clinical diagnoses, procedures, comorbidities, and key risk factors for readmission. Designed for healthcare analytics, it enables predictive modeling, quality improvement, and targeted intervention strategies to reduce hospital readmissions and improve patient outcomes.

29 cols

  • readmitted_within_30_days
  • hospital_department
  • age
  • race
  • +25
Open in factory
readmitted_within_30_days
false
hospital_department
cardiology
age
78

Hospital operations

Doctor Appointment Scheduling Patterns

Patient demographics, appointment timing, booking channels

This dataset provides detailed records of doctor appointment bookings, including patient demographics, appointment timing, booking channels, and status outcomes. It enables analysis of scheduling patterns, resource utilization, and patient engagement, supporting data-driven optimization of healthcare operations and reduction of idle doctor time.

24 cols

  • appointment_start_time
  • appointment_end_time
  • appointment_status
  • doctor_name
  • +20
Open in factory
appointment_status
completed
doctor_name
Dr. Michael Carter
doctor_specialty
Cardiologist

Hospital operationsTop 10 most opened

Hospital Readmission Prediction Dataset

Demographics, diagnoses, treatments, medications, and outcomes

This dataset provides comprehensive, visit-level hospital data for predicting patient readmission risk, including demographics, diagnoses, treatments, medications, and outcomes. It enables advanced analytics and machine learning for care management, resource allocation, and quality improvement in healthcare settings. The dataset is ideal for developing predictive models, benchmarking hospital performance, and supporting population health initiatives.

24 cols

  • readmitted_within_30_days
  • age
  • race
  • primary_diagnosis_code
  • +20
Open in factory
readmitted_within_30_days
false
age
74
race
white

Hospital operations

Medical Appointment No-Show Records

Patient demographics, health conditions, appointment details, reminders

This dataset provides detailed records of medical appointments, including patient demographics, health conditions, appointment details, reminders, and attendance outcomes. It enables analysis of no-show patterns, the impact of reminders, and patient history to optimize healthcare resource utilization and improve patient engagement.

28 cols

  • appointment_time
  • previous_appointments
  • appointment_type
  • appointment_date
  • +24
Open in factory
previous_appointments
5
appointment_type
checkup
age
34

Pharmacy

Drug Prescription Adherence Records

Patient demographics, prescription details, adherence status

This dataset provides detailed records of patient adherence to prescribed medications, including patient demographics, prescription details, adherence status, and provider information. It enables healthcare providers and researchers to analyze medication compliance, identify patterns of non-adherence, and develop interventions to improve patient outcomes and reduce hospital readmissions.

16 cols

  • adherence_status
  • adherence_percentage
  • prescription_start_date
  • prescription_end_date
  • +12
Open in factory
adherence_status
adherent
adherence_percentage
98.4
medication_name
Lisinopril

Hospital operations

Hospital Bed Turnover Rates

Timing, department, bed type, turnover reasons, and cleaning status

This dataset provides detailed records of hospital bed assignments and releases, including timing, department, bed type, turnover reasons, and cleaning status. It enables healthcare administrators to analyze bed utilization, optimize patient flow, and improve resource planning. The data supports operational efficiency studies and strategic decision-making in hospital management.

14 cols

  • hospital_name
  • bed_type
  • turnover_reason
  • bed_status_after_release
  • +10
Open in factory
hospital_name
Green Valley Medical Center
bed_type
ICU
turnover_reason
Discharge

Patient care

Patient Symptom Onset Tracking

Dates, severity, and confirmation status, to support disease monitoring

This dataset provides detailed tracking of patient symptom onset, including dates, severity, and confirmation status, to support disease monitoring and early intervention by healthcare professionals. It enables longitudinal analysis of symptoms, facilitates timely clinical response, and supports research into disease progression patterns.

10 cols

  • symptom_name
  • onset_date
  • severity_level
  • recorded_by
  • +6
Open in factory
symptom_name
Fever
severity_level
6
recorded_by
nurse.james

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

A pattern you asked for Everything else

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