
How We Use Technology to Improve Patient Care
How We Use Technology to Improve Patient Care

De-identification leads to innovation
This page provides insight into how we use de-identified data—information that has been carefully processed to remove all personal details, ensuring it cannot be linked back to you. By using advanced tools (such as AWS Bedrock), we take extra steps to verify that all personal details are screened out before any data is used for innovation.
Advancing medical imaging with AI keyboard_arrow_down
Annalise Enterprise CXR, Annalise Enterprise CTB
- Why is this data project important?
We’re working with Annalise.ai to develop AI-powered tools that support radiologists in diagnosing conditions more accurately and efficiently. This includes tools like Chest X-Ray AI (Annalise Enterprise CXR) and Brain CT AI (Annalise Enterprise CTB), both of which are already approved for use.
- How does this benefit you?
These AI tools act as a "second pair of eyes" for radiologists, helping them make faster and more precise decisions. However, the final diagnosis always remains in the hands of experienced medical professionals—AI is there to assist, not replace them.
- What kind of data is used?
Only de-identified patient information, including health data.
- How is the data used?
De-identified data is securely shared with Annalise.ai, who can use it for this specific project, ensuring your privacy is fully protected.
- Want to learn more?
Visit Annalise.ai
By integrating AI into radiology, we help enhance patient care, improve accuracy, and support faster diagnoses—leading to better health outcomes for you and your loved ones.
Solventum speech recognition keyboard_arrow_down
- Why is this data project important?
We're working with Solventum to implement an AI-powered speech recognition tool that supports radiologists to prepare radiology reports. This project is one of many ways that I-MED is looking to improve the efficiency and accuracy of its services.
- How does this benefit you?
This AI tool assists our radiologists to prepare radiology reports efficiently and accurately, and reduce your waiting times. The AI-prepared radiology reports remain subject to our radiologists' final review and approval.
- What kind of data is used?
The process is designed to ensure that no personal information or sensitive information is disclosed to Solventum. At regular intervals, I-MED de-identifies data that I-MED holds and which has been collected via the AI tool, and then discloses such de-identified information to Solventum. Solventum uses that de-identified information to improve the accuracy of the speech recognition and preparation of reports for I-MED's future application. Your personal information is not used for improving the AI tool for use by Solventum generally, or by any third parties.
- Want to learn more?
Visit Solventum.com
Providing results back into private and public hospitals keyboard_arrow_down
- Why is this data project important?
At I-MED, we support both private and public hospitals by helping deliver fast, accurate diagnostic imaging reports to you as a patient in those settings. To do this, we use a secure Integration Platform that quickly transfers images from hospitals to our radiologists—especially important in urgent cases. Ongoing improvements to this platform mean we can provide even faster support to your doctors, which helps with timely care and better outcomes.
- How does this benefit you?
By continuously improving how we receive and report on medical images, we help hospitals get diagnostic reports back to your healthcare team more quickly. This means faster decisions, more efficient care, and ultimately, better health outcomes for you and your loved ones.
- What kind of data is used?
To make our systems better, we use de-identified patient information. This means all personal details—like your name and contact information—are removed, so the data can’t be linked back to you.
- How is the data used?
We use this de-identified data to test and improve our technology. For example, it helps us make sure the system is working accurately and efficiently. It may also be used to help train our radiologists on how to use new features designed to make image interpretation even better.
We always follow I-MED’s Privacy Policy and comply with all applicable privacy laws to keep your information safe and secure.