We can remove all 18 PHI identifiers – Patient Names, Telephone Numbers, Email Addresses, Social Security Numbers, etc.
Parameters | Our Solution Accelerator | Manual Process |
---|---|---|
De-identification | Our solution employs complex algorithms for automated masking, ensuring precision and efficiency. | Medical images and files are manually masked by blacking out names and other private information. |
Data Storage | Sensitive information is not stored within our system. We will create storage compliance for your data. | Sensitive info if not stored with compliance can raise security and privacy risks. |
HIPAA Compliance | We follow stricter adherence to HIPAA standards for regulatory alignment. | Manual processes can lack HIPAA compliance, risking regulatory issues. |
Scalability | Handles large data volumes; enhances efficiency in healthcare settings. | Challenging to handle diverse data volumes efficiently. |
Technician Dependency | Solution designed for user ease; reduces dependency on de-identification specialists. | Trained technicians are needed, adding complexity and delays. |
Efficiency and Time-Saving | Automated masking streamlines the process, saving valuable time and expediting data security measures. | The manual process slows operations, causing delays in data security. |
Errors | Automation reduces the likelihood of human errors, ensuring the accuracy and integrity of protected health information. | Human errors are inherent in manual PHI masking, potentially compromising the integrity of protected health information. |
Cost Implications | Our PHI masking automation reduces training time, error and cost, saving up to $24,000. | The manual process incurs costs associated with training technicians, potential errors, and time investment. |
Deployments | The streamlined process ensures quick go-to-market, enhancing operational efficiency. | The intricate manual process leads to deployment delays. |
PHI stands for Protected Health Information, encompassing any information related to an individual’s health status, healthcare provision, or payment for healthcare that can be linked to that individual.
DICOM (Digital Imaging and Communications in Medicine) is a standard for transmitting, storing, and sharing medical images, ensuring interoperability and compatibility among different imaging devices.
Anonymization is crucial to protecting patient privacy by removing or anonymizing sensitive information from medical records and images before sharing or storing them.
Automated masking uses algorithms and technology to identify and remove sensitive information, offering efficiency and minimizing the risk of errors compared to manual processes.
Our solution ensures easy PHI anonymization without the need for any special training.
Our advanced algorithms ensure that redaction is performed without compromising the diagnostic quality of medical images.
You can request a demo by clicking here at your convenience
Our solution supports a wide range of file formats, including DICOM for medical images, JPEG, PNG, NIfTI and all video formats.
Our solution utilizes sophisticated algorithms to ensure precision and accuracy in the de-identification process, minimizing the risk of errors.
Yes, our solution accelerator is designed for scalability, capable of efficiently handling large data volumes in diverse healthcare settings.
No, our solution does not store sensitive information, ensuring data security and compliance with privacy standards.
Yes, our solution strictly adheres to HIPAA compliance standards, providing a robust framework for data security in healthcare.
Implementing our solution can result in cost savings by minimizing training, error, time and costs, potentially saving up to $24,000.
Yes, our solution is designed to be adaptable and can be customized to meet the specific needs of different healthcare environments.
The automated and streamlined nature of our solution facilitates swift deployments, enhancing operational efficiency.