Privacy & Security

AI MINER ensures patient privacy, security, data rights, and fair pricing. All projects have a defined research objective and IRB approval. We leverage HIPAA-compliant secure technology to properly de-identify, store, and transfer diverse images, reports, and metadata. Our fair pricing promise means that we charge for research services only. We don’t sell or place a value on patient images or data. 

IRB Approved

All projects are IRB approved research projects to ensure maximal patient privacy and security and to maintain the highest ethical standards.
The privacy and confidentiality of patient data is protected by de-identification methods that meet the Safe Harbor principles outlined in the HIPAA Privacy Rule.

HIPAA Compliant

Academic Partners utilize HIPAA-compliant bulk image retrieval and bulk image and report de-identification software to remove all PHI. The de-identified images, reports, and metadata file(s) are labelled with coded identifiers. The Academic Partner and our miners quality control the de-identification and secure transfer process. 

Secure Data Transfer

All data transfers utilize HIPAA-compliant secure data transfer methods.
All data transfer are governed under a data use agreement for data transferred from the Academic Partner to the AI MINER repository and for data transferred from the AI MINER repository to the Industry Partners.  

Coded Identifiers

Patient names, medical record numbers, and the names are academic medical centers are replaced with coded identifiers.

Fair Pricing

Our fair pricing covers research and service expenses only, including personnel effort and data curation, de-identification, storage and transfer. We don’t sell or place a value on patient images or data.

Got questions?

Ask us directly

Is it legal and ethical to share de-identified medical images, reports, and metadata?

In the United States, each medical center owns the images, reports, and metadata. It is legal to and ethical to share these under an IRB-approved research study. The Artificial Intelligence Multi-institutional Imaging and Exploratory Research (AI MINER) consotrium is an IRB approved research study. This study has minimal risk, qualities for a HIPAA waiver and waiver of consent, and the images, reports, and metadata will be de-identified with a coded identifier applied.

What kind of protected health information (PHI) is removed by the software?

The following PHI will remain with the Academic Partners and will not be entered into the AI MINER repository:

  • Names (Full or last name and initial)
  • All geographical identifiers smaller than a state
  • Dates (other than year) directly related to an individual
  • Phone Numbers
  • Fax numbers
  • Email addresses
  • Social Security numbers
  • Medical record numbers
  • Health insurance beneficiary numbers
  • Account numbers
  • Certificate/license numbers
  • Vehicle identifiers (including serial numbers and license plate numbers)
  • Device identifiers and serial numbers
  • Web Uniform Resource Locators (URLs)
  • Internet Protocol (IP) address numbers
  • Biometric identifiers, including finger, retinal and voice prints
  • Full face photographic images and any comparable images
  • Any other unique identifying number, characteristic, or code except the unique coded identifier assigned by the investigator to code the data

Will the name of my Academic Medical Center (AMC) be in the de-identified images, reports or metadata?

No. The name of each AMC is removed from the images, reports, and metadata as part of the de-identified process. Our de-identification software labels each site with a coded identifier that cannot be linked back to the specific AMCs by outside entities.

Does AI MINER buy and sell patient datasets, and how much does it cost?

We don’t sell or place a value on patient images, reports, or data. Our fair pricing covers research and service expenses only, including personnel effort and data curation, de-identification, storage and transfer. The costs of our services depend upon the volume of images needed and overall complexity of the research, including the need for patient outcomes data.