Five Unique Methods to Blind PHI

Before I joined AG Mednet five years ago, which is truly my dream job—

Jess Bell, Senior Solutions Consultant at AG Mednet
Jess Bell, Senior Solutions Consultant at AG Mednet Inc.

helping clients and partners better navigate the important journey of complex clinical trial processes—my career began working at clinical sites, for many years at CROs, working with innumerable sites and Core Labs, and I understand first-hand that in imaging trials, managing Protected Health Information (PHI) is crucial. Regulatory mandates are clear, and we all have heard reports of the hospital group that did not properly manage their systems and exposed PHI, then were struck with millions of dollars in fines, or the trial for an urgent treatment was delayed because crucial data could not be used. I’ve met site managers stressed over this potential, and I am pleased to reassure them, as Judi, AG Mednet’s AI-driven collaboration platform, radically reduces the risk of exposed PHI. At AG Mednet, Inc., we prioritize the protection of this sensitive information. Our innovative solution, Judi in Imaging, is specifically designed to provide a comprehensive set of five unique methods to effectively blind PHI. This ensures both compliance with regulations and the security of data throughout the trial.

Submission Quality Compliance (SQC): Removes modalities that are known to contain PHI, such as a structured report or a patient report. These files are DICOM format, so they look like an image to the system, but based on the modalities of SR and PR, we can remove these automatically prior to uploading the exam

Pixel De-Identification: Allows the uploader to place a mask directly on the image to blind any PHI that is embedded in the image, like patient name, institution, and date of birth. The uploader is able to mask images for the entire exam, or on one single image, and can adjust the mask coverage and location up until the point of image upload.

DICOM De-Identification: Removes and replaces PHI in DICOM tags during the upload process. DICOM tags that contain PHI will have the data replaced with blinded trial related data or removed from the tag altogether. AGM will recommend DICOM tags that should be blinded based on our experience and compliance with regulatory guidelines

DICOM Edit: This is a powerful tool available post image submission. The tool allows a specific user to edit DICOM tags in an audit-controlled environment. The user can add, delete, or flag data in DICOM tags as PHI and manipulate the image series if required.

AI-Assisted Redaction: This is our newest tool in the battle against PHI! We have developed a unique and proprietary assisted-redaction tool that will identify and prompt the user to mask data found in documents.

By integrating these advanced methods of blinding PHI, Judi significantly reduces the risk of data exposure throughout the duration of a trial, improves efficiency and decreases timelines, ensuring your imaging trials are conducted with the highest standards of privacy and compliance.

I’m glad to have arrived at AG Mednet five years ago. My colleagues and I are grateful to assist life sciences organizations with their important clinical research, providing a unified workspace to define, implement, and adhere to any clinical trial process.

I'm participating in an upcoming webinar with AG Mednet and Median Technologies, entitled, "Using Imaging in Clinical Trials to Improve Data and Decisions," on November 20, 2025. If you'd like to join, or view the recording, register here.

About AG Mednet

AG Mednet is a leading provider of intelligent technology solutions for clinical trial operations, medical affairs, and safety. Judi, the company’s flagship cloud-based platform, and tailored services, are designed to reduce operational complexity, ensure regulatory compliance, and improve data integrity across global studies, empowering sponsors, CROs, and sites to streamline journeys and accelerate timelines.

With expertise across more than 20 therapeutic areas, including oncology, cardiology, neurology, and rare diseases, AG Mednet has over two decades of experience optimizing clinical trial processes, with trusted, proven use cases for integrated DSMB/oversight management, eligibility assessment, remote monitoring, site and user qualification, 24x7 medical monitoring, and is the industry standard for endpoint adjudication, compliant DICOM imaging collection, storage, and review.

Five Unique Methods to Blind PHI

Before I joined AG Mednet five years ago, which is truly my dream job—

Jess Bell, Senior Solutions Consultant at AG Mednet
Jess Bell, Senior Solutions Consultant at AG Mednet Inc.

helping clients and partners better navigate the important journey of complex clinical trial processes—my career began working at clinical sites, for many years at CROs, working with innumerable sites and Core Labs, and I understand first-hand that in imaging trials, managing Protected Health Information (PHI) is crucial. Regulatory mandates are clear, and we all have heard reports of the hospital group that did not properly manage their systems and exposed PHI, then were struck with millions of dollars in fines, or the trial for an urgent treatment was delayed because crucial data could not be used. I’ve met site managers stressed over this potential, and I am pleased to reassure them, as Judi, AG Mednet’s AI-driven collaboration platform, radically reduces the risk of exposed PHI. At AG Mednet, Inc., we prioritize the protection of this sensitive information. Our innovative solution, Judi in Imaging, is specifically designed to provide a comprehensive set of five unique methods to effectively blind PHI. This ensures both compliance with regulations and the security of data throughout the trial.

Submission Quality Compliance (SQC): Removes modalities that are known to contain PHI, such as a structured report or a patient report. These files are DICOM format, so they look like an image to the system, but based on the modalities of SR and PR, we can remove these automatically prior to uploading the exam

Pixel De-Identification: Allows the uploader to place a mask directly on the image to blind any PHI that is embedded in the image, like patient name, institution, and date of birth. The uploader is able to mask images for the entire exam, or on one single image, and can adjust the mask coverage and location up until the point of image upload.

DICOM De-Identification: Removes and replaces PHI in DICOM tags during the upload process. DICOM tags that contain PHI will have the data replaced with blinded trial related data or removed from the tag altogether. AGM will recommend DICOM tags that should be blinded based on our experience and compliance with regulatory guidelines

DICOM Edit: This is a powerful tool available post image submission. The tool allows a specific user to edit DICOM tags in an audit-controlled environment. The user can add, delete, or flag data in DICOM tags as PHI and manipulate the image series if required.

AI-Assisted Redaction: This is our newest tool in the battle against PHI! We have developed a unique and proprietary assisted-redaction tool that will identify and prompt the user to mask data found in documents.

By integrating these advanced methods of blinding PHI, Judi significantly reduces the risk of data exposure throughout the duration of a trial, improves efficiency and decreases timelines, ensuring your imaging trials are conducted with the highest standards of privacy and compliance.

I’m glad to have arrived at AG Mednet five years ago. My colleagues and I are grateful to assist life sciences organizations with their important clinical research, providing a unified workspace to define, implement, and adhere to any clinical trial process.

I'm participating in an upcoming webinar with AG Mednet and Median Technologies, entitled, "Using Imaging in Clinical Trials to Improve Data and Decisions," on November 20, 2025. If you'd like to join, or view the recording, register here.

About AG Mednet

AG Mednet is a leading provider of intelligent technology solutions for clinical trial operations, medical affairs, and safety. Judi, the company’s flagship cloud-based platform, and tailored services, are designed to reduce operational complexity, ensure regulatory compliance, and improve data integrity across global studies, empowering sponsors, CROs, and sites to streamline journeys and accelerate timelines.

With expertise across more than 20 therapeutic areas, including oncology, cardiology, neurology, and rare diseases, AG Mednet has over two decades of experience optimizing clinical trial processes, with trusted, proven use cases for integrated DSMB/oversight management, eligibility assessment, remote monitoring, site and user qualification, 24x7 medical monitoring, and is the industry standard for endpoint adjudication, compliant DICOM imaging collection, storage, and review.

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Five Unique Methods to Blind PHI

Adjudication

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Imaging

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Eligibility

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Monitoring

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DSMB

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Qualification

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Key Benefits for
Five Unique Methods to Blind PHI
Trials

Key Features

Workflow

Create customized workflows per event type, even within a single protocol or program

Electronic Case Report Forms

Enable eCRFs with advanced edit checks and data validation capabilities at any point in the process

De-Identification

Integrated tools enabling removal of protected health information (PHI) from document submissions

Query Management

Manage all event-related queries within the system and keep a log of all interactions

Notifications

Advanced email and web-service notifications to users based on their role

Audit Logging

Robust and compliant audit logging of all actions within Judi

Medical Imaging

Upload, de-identify, store and review medical images as part of endpoint or event submission

Role-to-Role Communications

Specific roles or groups to chat about a case or a project, detailed audit log of all interactions

Robust Reporting Infrastructure

Library of commonly-used reports to provide visibility to a given project’s status or status across a number of projects in a program. Ad hoc reports.

Dashboards and Worklists

Standard and customizable dashboards to help users visualize worklists, case status and project health

Integration

Communicate with EDC and safety systems through a well-defined web-services API

AI-Assisted Redaction

Judi’s proprietary AI-Assisted Redaction capability automatically detects potential inclusions of PHI and flags them for review, saving time and reducing regulatory risk.

Stay up-to-date with whats happening

Some sub copy covering what weekly/monthly update sand news one can expect.

Workflow

Create customized workflows per event type, even within a single protocol or program

Electronic Case Report Forms

Enable eCRFs with advanced edit checks and data validation capabilities at any point in the process

De-Identification

Integrated tools enabling removal of protected health information (PHI) from document submissions

Query Management

Manage all event-related queries within the system and keep a log of all interactions

Notifications

Advanced email and web-service notifications to users based on their role

Audit Logging

Robust and compliant audit logging of all actions within Judi

Medical Imaging

Upload, de-identify, store and review medical images as part of endpoint or event submission

Role-to-Role Communications

Specific roles or groups to chat about a case or a project, detailed audit log of all interactions

Robust Reporting Infrastructure

Library of commonly-used reports to provide visibility to a given project’s status or status across a number of projects in a program. Ad hoc reports.

Dashboards and Worklists

Standard and customizable dashboards to help users visualize worklists, case status and project health

Integration

Communicate with EDC and safety systems through a well-defined web-services API

See Judi in Action; Request a Demo today

Contact us today to learn more about how Judi can automate, expedite, and improve your clinical trials.

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