License High-quality Healthcare/Medical Data for AI & ML Models
Off-the-shelf Healthcare/Medical Datasets to jumpstart your Healthcare AI project
Medical and Healthcare datasets for Machine Learning
Physician Dictation Audio Data
Our de-identified dataset for healthcare includes audio files across 31 specialties dictated by physicians describing patients’ clinical condition & plan of care based on physician-patient encounters in clinical setting.
Off-the-Shelf Physician Dictation Audio Files:
- 257,977 hours of Real-world Physician Dictation Speech Dataset from 31 specialties to train Healthcare Speech models
- Dictation audio captured from various devices like Telephone Dictation (54.3%), Digital Recorder (24.9%), Speech Mic (5.4%), Smart Phone (2.7%) and Unknown (12.7%)
- PII Redacted Audio & Transcripts adhering to Safe Harbor Guidelines in conformance with HIPAA
Transcribed Medical Records
Transcribed medical records refers to transcription of physician & patient conversation, transcription of medical reports and medical assessment. It helps in mapping medical history of the patient for future visits and also acts as a reference point for the doctors. It helps evaluate the present condition of the patient and suggest a suitable treatment.
Off-the-Shelf Transcribed Medical Records:
- Transcription of 257,977 hours of Real-world Physician Dictation from 31 specialties to train Healthcare Speech models
- Transcribed Medical Records from various work types like Operative Report, Discharge Summary, Consultation Note, Admit Note, ED Note, Clinic Note, Radiology Report, etc.
- PII Redacted Audio & Transcripts adhering to Safe Harbor Guidelines in conformance with HIPAA
Electronic Health Records (EHR)
Electronic Health Records or EHR are medical records that contains patient’s medical history, diagnoses, prescription, treatment plans, vaccination or immunization dates, allergies, radiology images (CT Scan, MRI, X-Rays), and laboratory tests & more.
Off-the-Shelf Electronic Health Records (EHR):
- 5.1M+ Records and physician audio files in 31 specialties
- Real-world gold-standard medical records to train Clinical NLP and other Document AI models
- Metadata information like MRN (Anonymized), Admission Date, Discharge Date, Length of Stay days, Gender, Patient Class, Payer, Financial Class, State, Discharge Disposition, Age, DRG, DRG Description, $ Reimbursement, AMLOS, GMLOS, Risk of mortality, Severity of illness, Grouper, Hospital Zip Code, etc.
- Medical Records from various US states and region- North East (46%), South (9%), Midwest (3%), West (28%), Others (14%)
- Medical Records belonging to all Patient Classes covered- Inpatient, Outpatient (Clinical, Rehab, Recurring, Surgical Day Care), Emergency.
- Medical Records belonging to all Patient Age Groups <10 yrs (7.9%), 11-20 yrs (5.7%), 21-30 yrs (10.9%), 31-40 yrs (11.7%), 41-50 yrs (10.4%), 51-60 yrs (13.8%), 61-70 yrs (16.1%), 71-80 yrs (13.3%), 81-90 yrs (7.8%), 90+ yrs (2.4%)
- Patient Gender ratio of 46% (Male) and 54% (Female)
- PII Redacted Documents adhering to Safe Harbor Guidelines in conformance with HIPAA
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Frequently Asked Questions (FAQ)
1. What are medical datasets?
Medical datasets include healthcare data such as physician dictation, transcribed records, EHR, and medical images (CT, MRI, X-rays) used to train AI models.
2. Is the data compliant with healthcare regulations?
Yes, the datasets comply with healthcare regulations such as HIPAA and GDPR to ensure secure and ethical data usage.
3. Can the datasets be customized for specific needs?
Yes, datasets can be tailored based on specific specialties, demographics, data formats, and project requirements.
4. How does quality assurance work for these datasets?
The data undergoes rigorous quality checks, including annotations by domain experts, to ensure accuracy and reliability. Each dataset is designed to meet gold-standard requirements.
5. Are these datasets scalable for large AI/ML projects?
Yes, the datasets are scalable to meet both small and large project requirements, including millions of records or hours of audio.
6. Can these datasets integrate into existing AI models?
Yes, the datasets are provided in ready-to-use formats (e.g., JSON, CSV) for seamless integration with existing AI and ML workflows.
7. What is the cost of medical datasets?
The cost depends on factors like dataset type, volume, customization, and delivery timelines. Please fill out the “Contact Us” form with your requirements for a quote.
8. How long does it take to deliver datasets?
Delivery timelines vary based on project complexity and dataset size, but are structured to meet your project deadlines.
9. Why are medical datasets important for AI/ML?
High-quality medical datasets are essential for training AI models to improve accuracy, automate tasks, and enhance decision-making in healthcare.