Guideline for Assessing Algorithmic Effects: User Guidebook
Accessing Imaging Data from the National Medical Imaging Platform (NMIP) Requires Algorithmic Impact Assessment
The National Health Service (NHS) AI Lab and NHS England Digital have introduced a new requirement for teams seeking access to the NMIP dataset. To gain access, a team must complete the Algorithmic Impact Assessment (AIA) process, as outlined in the user guide provided on the project page of the website [1].
The AIA process is designed to evaluate the ethical, privacy, and societal impact of AI algorithms proposed by users before they can access the NMIP imaging data. The key components of this process include assessing algorithmic impact on data privacy, fairness, safety, and ethical considerations, integrating the AIA within the data access workflow for NMIP imaging datasets, and aligning with national standards on governing data use for AI [1].
The user guide offers step-by-step guidance for project teams on how to conduct an AIA, including a template for the assessment. It is intended for teams conducting research, training a new medical product, or testing an existing medical product on NMIP imaging data [1].
The NMIP provides imaging data for research, product training, and product testing, making it a valuable resource for the healthcare industry. The AIA process is specifically for the National Medical Imaging Platform, ensuring that AI tools developed or applied on NMIP data meet governance standards, addressing risks related to bias, harm, or data misuse [1].
The user guide is part of wider work exploring AIAs in healthcare, with the partnership between the website and the NHS AI Lab aiming to establish best practices for ethical AI use in the healthcare sector [1]. The full report on the AIA process can be accessed from the project page, offering further insights into the details of the assessment process [1].
In summary, access to NMIP imaging data requires the completion of an AIA trial process overseen by the NHS AI Lab and NHS England Digital. This framework is part of a broader NHS effort to govern the use of data for AI in healthcare responsibly [1]. For more detailed procedural specifics, consulting the complete user guide or NHS AI Lab official documentation directly would be advisable.
[1] Source: NHS England Digital AI Lab ethics initiative governing data use for national medical imaging assets.
- Ensuring the responsible use of AI in health and wellness sectors, the Algorithmic Impact Assessment (AIA) process for the National Medical Imaging Platform (NMIP) evaluates the ethical, privacy, and societal impact of AI algorithms, including their implications on medical conditions, by integrating them within the data access workflow for imaging datasets and aligning with national standards.
- By utilizing technology to assess the algorithmic impact on health-and-wellness aspects such as data privacy, fairness, safety, and ethical considerations, the National Health Service (NHS) AI Lab and NHS England Digital aim to bolster the science of AI in medical-conditions research, product development, and testing using the NMIP imaging data to ultimately benefit the healthcare industry.
