Electronic Health Records (EHR) Datasets for AI & ML Projects

Off-the-shelf Electronic Health Records (EHR) Datasets to Jumpstart your Healthcare AI project.

Electronic health records (ehr) data

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Find the right Electronic Health Records (EHR) Data For Your Healthcare AI

Improve your machine learning models with best-in-class training data. 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. Our Off-the-shelf data catalog makes it easy for you to get medical training data you can trust.

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
EHR Data by Location
LocationText Documents
NorthEast4,473,573
South1,801,716
MidWest781,701
West1,509,109
EHR Data by Major Diagnosis Category
EHR Data by Major Diagnosis CategoryText 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 Disorders48,717
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 System589,730
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 Tissue329,344
Respiratory System561,983
Infectious & Parasitic Diseases559,244

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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EHR Data refers to the digital version of a patient’s medical history, which includes their treatments, medical tests, and other health-related information, maintained by health professionals over time.

EMR (Electronic Medical Record) contains the standard medical data gathered in one provider’s office. EHR (Electronic Health Record) is a broader system that includes EMR but also integrates data from different healthcare providers, offering a more comprehensive patient history.

EHR data is collected through digital inputs by healthcare professionals during patient visits, from lab results, imaging systems, and other diagnostic tools. It’s then stored electronically in EHR systems.

EHR Data is used to track patient care over time, assist healthcare providers in decision-making, facilitate billing processes, support research, and improve overall patient care quality and outcomes.

Buying EHR Data involves strict privacy and regulatory considerations. Typically, you can’t directly purchase individual patient records. However, aggregated and de-identified datasets are available from research organizations, data brokers, or specialized healthcare data vendors like us, following the proper ethical and legal guidelines.