License Text Healthcare Datasets for Clinical NLP & Healthcare AI
Expert-annotated medical Q&A, real-world doctor–patient conversations, and large-scale EMR, prescription, claims, hospital and oncology data feeds across six countries.
Medical Text Data for Healthcare AI
Shaip’s text healthcare catalogue combines two partner sources. The first supplies English-language medical Q&A content from a clinical platform — a curated, expert-annotated Golden set for supervised fine-tuning and RLHF, a Silver set of real-world doctor–patient conversations, evidence-based medical articles with citations, and structured de-identified case summaries in SOAP format.
The second is an on-demand network of EMR, longitudinal prescription, claims, hospital, lab and oncology data feeds spanning the US, UK, France, Germany, Italy and Spain. Volumes shown are network coverage, not a fixed delivered dataset size; scope, geography and the specific feeds are confirmed per engagement.
| Dataset Type | Volume / Coverage | Geography |
|---|---|---|
| Dataset TypeElectronic Medical Record Data | Volume / Coverage800+ primary care / specialist / group practices; ~20M active patients | GeographyUSA |
| Dataset TypeLongitudinal Prescription Data (LRx) | Volume / Coverage57.8K outlets (94% retail, 82% mail, 58% LTC); ~255M active patients; 9B transactions/yr | GeographyUSA |
| Dataset TypePatient Analyzer | Volume / Coverage~35M active patients (~11% of national population) | GeographyUSA |
| Dataset TypePatient Analyzer — HCP | Volume / Coverage~1.2M AMA HCPs (76% coverage); 1.5B Dx claims, 5.6B Dx services; 150M+ active patients | GeographyUSA |
| Dataset TypeHospital Data | Volume / Coverage350+ acute-care non-federal hospitals (~8.2%); ~63.4M visits/yr | GeographyUSA |
| Dataset TypeLab Data | Volume / Coverage2.2K+ patient service centers; used by ~half of US HCPs and hospitals; 100M+ patients | GeographyUSA |
| Dataset TypeUrology EMR | Volume / Coverage340+ practices, ~1.7K urologists across 45 states; 1M+ patients, 500K oncology | GeographyUSA |
| Dataset TypeRetail Purchasing OTC/CPG | Volume / Coverage~95M households / 140M individuals matched to LRx; ~60% all-commodity volume | GeographyUSA |
| Dataset TypeConsumer Data | Volume / Coverage145M matched patients and 750K HCPs | GeographyUSA |
| Dataset TypeOncology EMR | Volume / Coverage~320 locations, 960 oncologists across 41 states; 1.1M patients with clinical history | GeographyUSA |
| Dataset TypeCOTA Healthcare | Volume / Coverage70% academic; 4K Multiple Myeloma, 1.2K AML, ~10K Breast Cancer patients | GeographyUSA |
| Dataset TypeOncology Health System EMR | Volume / Coverage84 hospitals, 16 cancer centers across 13 states; 1M patients with clinical history | GeographyUSA |
| Dataset TypeOncology Medical Claims | Volume / Coverage~11M cancer patients/yr (13K oncologists); 6.8M with ≥1 oncolytic; 2.1M infused | GeographyUSA |
| Dataset TypeEMR Data — LPD | Volume / Coverage~1.2K GPs, 610 specialists; ~1.9M active patients at GPs, 2.8M incl. specialists | GeographyFrance |
| Dataset TypeEMR Data — DA | Volume / Coverage~1K GPs; 1.7M active patients (~3% of national population) | GeographyFrance |
| Dataset TypeLRx Data | Volume / Coverage~10K retail pharmacies (47% coverage); ~40M active patients (~60%) | GeographyFrance |
| Dataset TypeClaims Data | Volume / CoverageIn millions | GeographyFrance |
| Dataset TypeOncology Dynamics | Volume / Coverage~200 cancer-treating physicians; ~20K oncology drug-treated patients/yr | GeographyFrance |
| Dataset TypeEMR Data | Volume / Coverage~3.3K office-based GPs and specialists; ~15M active patients (~18%) | GeographyGermany |
| Dataset TypeLRx Data (Longitudinal Prescription) | Volume / Coverage~82% retail coverage of SHI prescriptions; ~50M active patients (~60%) | GeographyGermany |
| Dataset TypeClaims Data | Volume / Coverage5M+ patients (6–8% of GKV population) | GeographyGermany |
| Dataset TypeADOReg / DeCOG Skin Cancer Registry | Volume / Coverage54 sites; 6.5K+ patients (~6K melanoma, ~320 BC, ~300 MCC, ~60 SCC) | GeographyGermany |
| Dataset TypeOncology Dynamics | Volume / Coverage~240 cancer-treating physicians; ~27K oncology drug-treated patients/yr | GeographyGermany |
| Dataset TypeEMR Data | Volume / Coverage900 GP practices; ~1.2M active patients (~2%) | GeographyItaly |
| Dataset TypeLRx Data (Longitudinal Prescription) | Volume / Coverage80% coverage of reimbursed retail Rx; 50% of reimbursed DPC | GeographyItaly |
| Dataset TypePatient Analyzer | Volume / Coverage200 cardiologists, 140 diabetologists, 120 pulmonologists, 80 allergologists, 120 orthopedists; ~50K patient diaries/yr | GeographyItaly |
| Dataset TypeOncology Dynamics | Volume / Coverage450 cancer-treating physicians; ~35.5K oncology drug-treated patients/yr | GeographyItaly |
| Dataset TypeEMR Data | Volume / Coverage~1.5K GPs, ~2K specialists; ~960K active patients (~2%) | GeographySpain |
| Dataset TypeIASIST Hospitalizations | Volume / Coverage55–60% of NHS hospitals; ~60% of NHS episodes; ~2M episodes (recent MAT) | GeographySpain |
| Dataset TypeOncology Dynamics | Volume / Coverage~220 cancer-treating physicians; ~21K oncology drug-treated patients | GeographySpain |
| Dataset TypeEMR Data — LPD | Volume / Coverage340 GP practices, 1.9K GPs; 3.5M+ active patients (~5%) | GeographyUK |
| Dataset TypeEMR Data — Medical Research Data | Volume / Coverage~350 active practices; ~2.8M active patients (~4.5%) | GeographyUK |
| Dataset TypeEMR Data — CPRD | Volume / CoverageGold: 674 practices, ~4.4M patients (~7%); Aurum: 738 practices, ~7.1M patients (~13%) | GeographyUK |
| Dataset TypeLRx Data (Longitudinal Prescription) | Volume / Coverage~8K retail pharmacies (60% coverage); ~40.6M active patients (~61%) | GeographyUK |
| Dataset TypeHMSL | Volume / Coverage~1K specialists; 50K patient records/yr | GeographyUK |
| Dataset TypeHospital Data — HTI | Volume / Coverage6.4M+ unique patients with ≥1 dispensed drug (28% coverage); 43 NHS Trusts | GeographyUK |
| Dataset TypeHospital Data — HES | Volume / Coverage~100% of NHS hospitals + NHS-referred private work; ~46M active patients (~69%) | GeographyUK |
| Dataset TypeOncology Dynamics | Volume / Coverage~220 cancer-treating physicians; ~21K oncology drug-treated patients | GeographyUK |
| Dataset TypeOncology Insights Simulator | Volume / Coverage99%+ of patients diagnosed with cancer in England; ~350K diagnosed/yr | GeographyUK |
| Dataset TypeOphthalmology — M.S | Volume / Coverage~70% of NHS trusts and most private ophthalmology groups; used in ~200 hospitals | GeographyUK |
| Dataset TypeGenomics England | Volume / Coverage17.2K cancer participants (15.2K curated); 33.5K rare-disease participants + 38.4K family members | GeographyUK |
| Dataset TypeMedical Text Q&A — Golden DatasetCurated, expert-annotated clinical Q&A for SFT / RLHF | Volume / Coverage- | Geography- |
| Dataset TypeMedical Text Q&A — Silver DatasetReal-world doctor–patient conversational data | Volume / Coverage- | Geography- |
| Dataset TypeMedical Text Q&A — Medical ArticleCurated, categorized evidence-based health articles with citations | Volume / Coverage- | Geography- |
| Dataset TypeMedical Text Q&A — Case SummaryStructured, de-identified case records in SOAP format | Volume / Coverage- | Geography- |
We deal with all types of Data Licensing i.e., text, audio, video, or image. The datasets consist of Medical datasets for ML: Physician Dictation Dataset, Physician Clinical Notes, Medical Conversation Dataset, Medical Transcription Dataset, Doctor-Patient Conversation, Medical Text Data, Medical Images – CT Scan, MRI, Ultra Sound (collected basis custom requirements).
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