HIPAA-Compliant Physician Dictation Audio Data for Healthcare AI
Accelerate healthcare AI innovation using off-the-shelf physician dictation audio data compliant with privacy and HIPAA regulations.
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High-Quality Medical Audio Datasets for Smarter AI Models
Our de-identified healthcare dataset features audio files from 31 diverse specialties, meticulously dictated by physicians. These recordings capture detailed descriptions of patients’ clinical conditions and care plans, derived from real-world physician-patient interactions in hospital and clinical settings. Fully compliant with privacy regulations, this dataset is ideal for training advanced healthcare AI models.
| 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 |
| Speciality | Patient Audio Files (Playtime in Hours) | Total No. of Audio Files |
|---|---|---|
| Total | 257,977 | 5,172,766 |
| IPHONE | 666 | 32,382 |
| Digital Recorder | 1,659 | 22,377 |
| Mixed type | 69,818 | 1,408,679 |
| SmartPhone | 51,533 | 1,306,405 |
| SpeechMic | 10,329 | 257,730 |
| Telephone Dictation | 120,867 | 2,071,557 |
| Unknown | 3,104 | 73,636 |
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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Frequently Asked Questions (FAQ)
1. What is physician dictation audio data?
Physician dictation audio data consists of audio files where doctors describe a patient’s clinical condition, treatment plan, or medical history during consultations or hospital visits.
2. Why is physician dictation audio data important for AI/ML projects?
This data is crucial for training AI models in speech recognition, natural language processing (NLP), and clinical documentation automation. It helps build systems for transcribing, analyzing, and improving healthcare documentation workflows.
3. What types of medical audio datasets are available?
The dataset includes 257,977 hours of real-world physician dictation from 31 medical specialties. Audio is recorded using various devices, including telephones, digital recorders, smartphones, and speech microphones.
4. Is the medical audio data de-identified?
Yes, all audio files are de-identified to remove Personally Identifiable Information (PII), ensuring patient confidentiality.
5. Does the dataset comply with HIPAA and other regulations?
Yes, the datasets adhere to HIPAA and Safe Harbor Guidelines, along with other global privacy standards.
6. Can the datasets be customized?
Yes, datasets can be tailored to specific specialties, demographics, or recording device types based on project requirements.
7. Are these datasets scalable for large projects?
Absolutely. The datasets are extensive, with millions of audio files, making them suitable for both small-scale and large-scale AI/ML projects.
8. How does the data integrate into AI models?
The medical audio data and corresponding transcripts are provided in standard formats that can be seamlessly integrated into speech recognition and natural language processing (NLP) models.
9. How is data quality ensured?
The audio data undergoes rigorous quality checks, and domain experts validate annotations to ensure accuracy and reliability.
10. Are the datasets scalable for large AI projects?
The cost depends on factors such as the volume of data, customization, and project scope. We request that you fill out the “Contact Us” form with your requirements to receive the best quote.
11. What are the delivery timelines for these datasets?
Delivery timelines vary based on the size and complexity of the project, but are structured to meet deadlines efficiently.
12. How can physician dictation audio datasets improve healthcare AI?
These datasets enhance AI capabilities in automating clinical documentation, improving transcription accuracy, and enabling better decision-making for healthcare providers.