Medical & Healthcare Datasets
Built for Production AI
Shaip provides the most comprehensive catalog of HIPAA-compliant, physician-annotated medical datasets — purpose-built to train, fine-tune, and evaluate clinical AI models at enterprise scale.
- Expert-annotated clinical notes, EHR, imaging & dictation datasets — ready to license
- Purpose-built data for medical LLMs, clinical NLP, and healthcare computer vision
- Full compliance stack: HIPAA, GDPR, IRB, ISO 27001, SOC 2 — handled end-to-end
Talk to a Healthcare Data Expert
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The Data Infrastructure Powering Healthcare AI
Shaip’s medical datasets are trusted by Fortune 500 companies, top AI research labs, and the world’s fastest-growing health AI startups.
Everything You Need to Build Production-Ready Healthcare AI
Shaip offers medical data platform that combines physician-grade annotation, global data collection, and built-in compliance — so your team focuses on building models, not hunting for data.
Ready-to-Use Medical Dataset Catalog
Access pre-built, immediately licensable datasets across clinical notes, EHR, imaging, dictation, and more. Skip data collection entirely.
Physician-Level Annotation Accuracy
Every dataset is annotated and QA'd by licensed medical professionals — not crowdsourced workers. Expect 98%+ inter-annotator agreement.
Global Data Collection at Scale
Need custom data from specific demographics, languages, or geographies? We collect, process, and deliver it — fully compliant and to spec.
Compliance Handled for You
All datasets are de-identified, IRB-cleared, and HIPAA/GDPR compliant. Legal agreements and NDAs available from day one.
Ready-to-Use Healthcare Datasets
| Speciality | Patient Audio Files (Playtime in Hours) | Total No. of Audio Files |
|---|---|---|
| Total | 257,977 | 5,172,766 |
| Male | 58,850 | 2,444,910 |
| Female | 113,406 | 1,290,900 |
| Unknown | 85,721 | 1,436,956 |
| Speciality | Patient Audio Files (Playtime in Hours) | Total No. of Audio Files |
|---|---|---|
| Total | 257,977 | 5,172,766 |
| Accident & emergency | 9 | 359 |
| Allergy and Immunology | 1152 | 22202 |
| Anesthesiology | 677 | 22280 |
| Anesthetics | 1 | 9 |
| APRN | 163 | 1693 |
| Cardiology | 67504 | 1566721 |
| Cardiothoracic | 17 | 122 |
| Cardiothoracic surgery | 1 | 10 |
| Clinical hematology | 0 | 2 |
| Colon and Rectal Surgery | 7 | 162 |
| Colorectal surgeon | 45 | 984 |
| Critical care medicine | 220 | 4328 |
| Dentist | 1 | 65 |
| Dermatology | 771 | 23014 |
| Dietitian and nutritionist | 44 | 736 |
| Emergency medicine | 4911 | 112518 |
| Endocrinology | 205 | 7052 |
| ENT | 7010 | 175477 |
| Family medicine | 1767 | 106733 |
| Gastroenterology | 1458 | 40365 |
| General medicine | 140 | 5757 |
| General practice | 41 | 1318 |
| General surgery | 2038 | 71744 |
| Gynecology | 3269 | 103370 |
| Hand surgery | 2 | 45 |
| Hematology | 258 | 8125 |
| Hospitalist | 5931 | 142529 |
| Infectious disease | 493 | 14001 |
| Internal medicine | 15410 | 445591 |
| Interventional cardiology | 1511 | 43035 |
| Maternal-Fetal medicine | 51 | 1355 |
| Neonatology | 1045 | 24760 |
| Nephrology | 735 | 20334 |
| Neurology | 2269 | 63774 |
| Neurosurgery | 462 | 11990 |
| Nuclear Medicine | 2 | 23 |
| OBGYN | 3562 | 122303 |
| Oncology | 2938 | 82996 |
| Ophthalmology | 1316 | 41047 |
| Optometry | 33 | 1066 |
| Orthopedics | 5665 | 164483 |
| Otolaryngology | 3433 | 100811 |
| Pathology | 166 | 4097 |
| Pediatric pulmonology | 4 | 40 |
| Pediatric specialty | 35 | 682 |
| Pediatric surgery | 2 | 23 |
| Pediatrics | 877 | 9271 |
| Physical Medicine & Rehabilitation | 1347 | 23523 |
| Physical Therapist | 114 | 1713 |
| Physician Asst. | 6 | 38 |
| Podiatric Surgery | 4 | 24 |
| Podiatry | 473 | 12296 |
| Primary Care | 651 | 20120 |
| Psychiatry | 2120 | 60381 |
| Pulmonology | 1290 | 35290 |
| Radiation oncology | 239 | 6558 |
| Radiology | 3345 | 99641 |
| Rheumatology | 293 | 8729 |
| SICU | 1 | 25 |
| Speech pathology | 3 | 28 |
| Surgical oncology | 217 | 5758 |
| Thoracic surgery | 107 | 3336 |
| Transplant surgery | 61 | 1535 |
| Urology | 3170 | 96934 |
| Upper gastrointestinal surgery | 4 | 58 |
| VASCULAR SURGERY | 19 | 156 |
| Vascular/General | 9 | 268 |
| Wound Care | 15 | 211 |
| Specialty | Approx. No. of Medical Records | Approx. No. of Characters |
|---|---|---|
| Total | 5,172,766 | 11,331,920,127 |
| Pain Medicine | 11 | 35,515 |
| Podiatric Surgery | 24 | 1,08,258 |
| Plastic surgery – specialty | 183 | 6,04,359 |
| Physician Asst. | 38 | 1,27,349 |
| Physical Therapist | 1,713 | 46,81,870 |
| Physical Medicine & Rehabilitation | 23,523 | 5,77,01,697 |
| Pediatrics | 9,271 | 4,26,54,058 |
| Pediatric surgery | 23 | 90,525 |
| Pediatric specialty | 682 | 20,63,509 |
| Pediatric pulmonology | 40 | 1,58,625 |
| Pediatric Dentistry | 420 | 8,99,253 |
| Pathology | 43,462 | 2,76,60,828 |
| PANP | 1,45,960 | 44,53,32,915 |
| Podiatry | 12,056 | 3,91,63,411 |
| Pain Management | 30 | 62,650 |
| Otolaryngology | 19,548 | 3,95,00,098 |
| Osteopathic | 5,566 | 1,36,79,541 |
| Orthopedic | 1,45,053 | 27,75,08,345 |
| Orthopaedics & Sports Medicine | 3,165 | 1,43,93,798 |
| Oral surgery | 13 | 32,527 |
| Oral & Maxillofacial Surgeon | 8 | 18,733 |
| Ophthalmology | 19,299 | 4,48,44,680 |
| OPERATIVE CARE | 5 | 13,637 |
| Oncology | 82,300 | 29,63,70,809 |
| Occupational Therapist | 68 | 2,38,853 |
| Surgery | 2,36,788 | 64,27,35,680 |
| Wound Care | 211 | 5,82,123 |
| Vascular/General | 268 | 4,11,007 |
| VASCULAR SURGERY | 156 | 6,74,129 |
| Urology | 96,934 | 13,55,27,616 |
| Upper gastrointestinal surgery | 58 | 1,80,361 |
| Unknown | 7,48,054 | 1,69,50,98,900 |
| Trauma & orthopedics | 1,308 | 53,08,512 |
| Transplant | 32 | 1,28,670 |
| Thoracic surgery | 37 | 1,53,325 |
| Thoracic medicine | 27 | 1,64,106 |
| Surgical specialty | 290 | 10,14,789 |
| Surgery Physician Assistant | 3 | 4,315 |
| Occupational medicine | 763 | 34,76,696 |
| Sports Medicine | 49 | 1,48,200 |
| Speech Therapy | 327 | 9,81,803 |
| Rheumatology | 124 | 4,32,080 |
| Resident | 641 | 19,90,867 |
| Rehabilitation | 30,078 | 9,61,87,590 |
| Radiology | 6,30,983 | 64,19,87,812 |
| Pulmonary | 64,368 | 15,66,29,273 |
| Psychotherapy (specialty) | 229 | 29,61,345 |
| Psychiatry | 70,269 | 35,10,76,474 |
| PRIMARY CARE ATTENDING | 7 | 27,134 |
| Preventive Medicine | 191 | 4,35,298 |
| Dental | 1,233 | 29,74,753 |
| General | 313 | 13,77,179 |
| Gastroenterology | 62,158 | 12,79,38,968 |
| Family Practice | 2,498 | 69,42,820 |
| Family Nurse Practitioner | 9,018 | 1,86,24,462 |
| Family Medicine | 2,63,480 | 53,40,93,592 |
| Endocrinology | 3,212 | 91,07,557 |
| Emergency Room Specialist | 378 | 12,72,557 |
| Emergency | 62,256 | 16,24,31,343 |
| ED Physician Assistant | 70 | 31,316 |
| Ear, Nose And Throat | 658 | 20,74,977 |
| Diagnostic Radiology | 7,591 | 72,68,441 |
| Dermatology | 3,474 | 62,28,845 |
| General dental practice | 25 | 99,740 |
| Critical Care | 9,645 | 3,42,13,951 |
| Clinical physiology | 160 | 10,03,807 |
| Clinical hematology | 2 | 7,546 |
| Cardiothoracic surgery | 10 | 55,321 |
| Cardiothoracic | 122 | 7,06,280 |
| Cardiology | 15,66,721 | 3,20,98,50,575 |
| APRN | 1,693 | 54,36,558 |
| Anesthetics | 9 | 21,300 |
| Anesthesiology | 22,280 | 4,80,25,191 |
| Allergy and Immunology | 22,202 | 48,273,220 |
| Accident & emergency | 359 | 7,23,866 |
| IH-Industrial Health | 945 | 27,57,753 |
| OB/GYN | 42,739 | 11,41,18,874 |
| Nurse Practitioner – Family | 113 | 2,81,032 |
| Nurse Practitioner | 432 | 27,19,033 |
| Neurosurgery | 755 | 31,46,223 |
| Neurology | 17,786 | 4,90,64,199 |
| Neuro/TBI | 1,157 | 51,42,035 |
| Nephrology | 39,821 | 10,14,22,013 |
| Medicine | 122 | 3,68,833 |
| Medical oncology | 67 | 4,87,088 |
| Internal Medicine, Pulmonary Medicine, Critical Care Medicine And Sleep Medicine | 102 | 2,10,331 |
| Internal Medicine And Nephrology | 111 | 5,19,283 |
| Internal Medicine | 6,23,072 | 1,74,14,86,763 |
| Location | Text Documents |
|---|---|
| NorthEast | 4,473,573 |
| South | 1,801,716 |
| MidWest | 781,701 |
| West | 1,509,109 |
| Major Diagnosis Category | Text Documents |
|---|---|
| Alcohol/Drug Use & Alcohol/Drug-Induced Organic Mental Disorders | 48,717 |
| Total including everything (Cases with & without MDC category) | 8,566,687 |
| Cases without reimbursement generated (MDC not specified) | 790,697 |
| Outpatient Cases (MDC not specified) | 1,980,606 |
| Cases using a specialty grouper such as 3M (MDC not specified) | 1,619,682 |
| Total with MDC | 4,175,702 |
| Alcohol/Drug Use or Induced Mental Disorders | 48,717 |
| Burns | 444 |
| Eye | 3,549 |
| Male Reproductive System | 9,230 |
| Human Immunodeficiency Virus Infections | 12,422 |
| Myeloproliferative Diseases & Disorders, Poorly Differentiated Neoplasms | 15,620 |
| Factors Influencing Health Status & Other Contacts with Health Services | 21,294 |
| Female Reproductive System | 17,010 |
| Ear, Nose, Mouth & Throat | 22,987 |
| Multiple Significant Trauma | 27,902 |
| Circulatory System | 589,730 |
| Blood, Blood Forming Organs & Immunologic Disorders | 48,990 |
| Injuries, Poisonings & Toxic Effects of Drugs | 64,097 |
| Skin, Subcutaneous Tissue & Breast | 89,577 |
| Hepatobiliary System & Pancreas | 127,172 |
| Endocrine, Nutritional & Metabolic Diseases & Disorders | 142,808 |
| Newborns & Other Neonates with Conditions Originating in the Perinatal Period | 163,605 |
| Pregnancy, Childbirth & the Puerperium | 165,303 |
| Kidney & Urinary Tract | 209,561 |
| Mental Diseases & Disorders | 282,501 |
| Nervous System | 316,243 |
| Digestive System | 346,369 |
| Musculoskeletal System & Connective Tissue | 329,344 |
| Respiratory System | 561,983 |
| Infectious & Parasitic Diseases | 559,244 |
Healthcare Datasets Across Every AI Use Case
Pre-built, immediately licensable datasets — or custom collections built to your exact model specifications. Speak to our team to discuss your requirements.
Medical Conversations
Patient-physician dialog covering history taking, symptom assessment, treatment planning, and follow-up — across specialties and languages.
Clinical Notes
SOAP / progress notes, and discharge summary with NER labels for diagnoses, medications, procedures, & clinical entities.
Longitudinal Health Records
Structured, linked multi-encounter patient records built for AI models that track disease progression, treatment response, & clinical outcomes over time.
Physician Dictation Audio
High-fidelity physician dictation recordings with accurate clinical transcriptions — ideal for training ASR and voice-to-EHR systems.
Electronic Health Record (EHR)
Structured and unstructured EHR data — labs, vitals, medications, problem lists — de-identified, HL7/FHIR-compatible, ready for ML pipelines.
Pharmaceutical & Drug Data
Adverse event reports, clinical trial corpora, drug-drug interaction datasets, and pharmacovigilance data for pharma AI applications.
Transcribed Medical Records
Verbatim and intelligent transcriptions of medical records with de-identification, clinical entity tagging, and format standardization.
Telemedicine & Remote Care Data
Virtual consultation transcripts, remote monitoring datasets, and teleconsultation audio — annotated for clinical AI in digital health settings.
Pathology & Genomics Data
Whole-slide pathology images, genomics datasets, and biomarker data — annotated by pathologists for oncology AI, drug discovery, and precision medicine.
Beyond the Catalog: End-to-End Healthcare AI Data Services
Don’t see exactly what you need in the catalog? Shaip’s full-service healthcare AI data team can collect, de-identify, annotate, & deliver custom datasets at any scale.
Medical Data Collection
Primary source data collection from patients, healthcare providers, and clinical settings — globally, across 40+ languages and 30+ specialties.
- Patient-physician conversations
- Clinical interview recordings
- Medical photography & imaging
- Wearable device & sensor data
Medical Data Annotation & Labeling
Physician-led annotation services covering all clinical data types — text, image, audio, and video — with rigorous multi-layer QA.
- Clinical NER & relation extraction
- ICD-10 / SNOMED / RxNorm coding
- Radiology image segmentation
- Medical entity & intent classification
Medical Data De-identification
HIPAA Safe Harbor and Expert Determination de-identification of clinical text, images, and audio — with full audit trails and legal documentation.
- PHI detection & redaction
- Face blurring in medical images
- Audio speaker anonymization
- IRB documentation support
Synthetic Medical Data Generation
Clinically realistic synthetic datasets generated to augment scarce real-world data — without PHI exposure risk.
- Synthetic EHR & clinical note generation
- Rare condition & minority demographic coverage
- Bias mitigation dataset creation
- IRB-compliant generation pipelines
Clinical Speech & ASR Data
Physician dictation, clinical call recordings, and patient-facing voice interaction datasets — transcribed and annotated for clinical ASR models.
- Specialty-specific dictation data
- Medical terminology normalization
- Speaker diarization labels
- Accented clinical speech datasets
Healthcare Data Transcription
Human + AI transcription of clinical audio, video, and handwritten records — formatted for downstream ML pipelines and EHR integration.
- Medical record transcription
- Verbatim & intelligent transcription
- Handwritten chart digitization
- Multilingual clinical transcription
Training Data for Medical Large Language Models
As healthcare organizations race to deploy clinical LLMs, the bottleneck is always the same: high-quality, domain-specific training data. Shaip provides the full data stack for healthcare AI foundation models.
- →Instruction-tuning datasets for medical Q&A, summarization, and coding
- →RLHF preference data collected and ranked by licensed clinicians
- →RAG knowledge base preparation — clinical guidelines, drug databases
- →Red teaming & safety evaluation for medical LLM outputs
- →Multimodal training data combining text, imaging, and clinical audio
Medical LLM Fine-Tuning Data
Curated instruction-response pairs for clinical tasks: diagnosis, triage, drug interaction checking, discharge summary generation, and more.
Physician Preference Ranking (RLHF)
Human preference data ranked by licensed physicians — essential for aligning medical LLM outputs with clinical standards and safety requirements.
Clinical Knowledge Base Preparation
Structured, chunked, and embedded clinical knowledge for RAG pipelines — clinical guidelines, formulary data, ICD/SNOMED reference sets.
Medical AI Evaluation & Benchmarking
Expert-curated test sets and clinical benchmarks to evaluate LLM accuracy, hallucination rates, safety, and clinical utility at scale.
Multimodal Healthcare AI Data
Combined text + imaging + audio for multimodal medical AI — radiology reports paired with DICOM images, physician notes with audio recordings.
Medical AI Safety & Red Teaming
Adversarial prompt datasets and clinical edge-case testing to surface failure modes in healthcare LLMs before deployment in clinical settings.
What Separates Shaip from Every Other Data Provider
Not a generic annotation marketplace. Not a crowdsourcing platform. Shaip is the only purpose-built healthcare AI data company with a decade of clinical domain depth.
Healthcare-Only Focus Since 2014
10+ years of working exclusively in healthcare AI data — we understand clinical terminologies, workflows, and regulatory requirements that generic providers simply don't.
1,000+ Licensed Medical Annotators
Our annotation workforce consists entirely of licensed physicians, radiologists, nurses, and pharmacists. No crowdworkers. No general contractors. Only clinicians.
Full Compliance Stack — Zero Legal Risk
HIPAA, GDPR, IRB, ISO 27001, SOC 2 — we own the entire compliance and de-identification process so your legal team can approve datasets on first review.
Catalog + Custom — One Partner
Start with ready-to-license catalog data, then scale to custom collection without switching vendors. One relationship, one contract, one delivery pipeline.
Trusted by Healthcare AI Leaders Worldwide
Our partnership with Shaip has been instrumental in advancing our NLP capabilities within the oncology domain. The professional handling of 10,000 medical records with detailed clinical entity annotations demonstrated strong compliance and operational excellence.
Shaip designed and validated a complete MRI de-identification workflow for our research program. Their privacy-first pipeline secured nearly 100,000 scans for compliant multi-institutional research data sharing.
Shaip curated and annotated de-identified Pediatrics and OB-GYN outpatient records with ICD-10 CM codes delivered through an API pipeline, creating high-quality training datasets for clinical NLP models.
De-identified oncology records for clinical NLP including negation and entity labeling.
MRI scans secured via validated privacy-first de-identification pipeline.
Outpatient Pediatrics & OB-GYN records annotated with ICD-10 CM codes.
From First Conversation to Production Dataset
No months-long RFP cycles. No ambiguity. A clear, fast path from data requirement to delivery.
Talk to a Healthcare Data Expert
Fill out the form, and a Shaip specialist with clinical domain expertise — not a generic SDR — will connect with you to understand your exact requirements.
Dataset Scoping & Proposal
We scope your data requirements — modality, specialty, volume, annotation schema, language, compliance needs — and deliver a detailed proposal with timeline.
Pilot & Quality Validation
We deliver a pilot batch so your team can validate annotation quality, schema fit, and format before committing to full-scale production. Adjustments made before scale.
Production Delivery & Ongoing Support
Full dataset delivered securely in your preferred ML format, with compliance documentation. Dedicated customer success manager for ongoing dataset needs.
Your Medical AI Model Is Only as Good as the Data Behind It
Don’t let data constraints slow your clinical AI initiative. Talk to a Shaip healthcare data specialist today and get a clear path to the annotated medical data your model needs.