Assessment Manual for Algorithmic Impact: User Instructions
In the realm of healthcare, the use of Artificial Intelligence (AI) is rapidly evolving, and one such platform at the forefront is the National Medical Imaging Platform (NMIP). A user guide, developed in partnership between a website and the NHS AI Lab, provides a template for conducting an algorithmic impact assessment (AIA) when using NMIP imaging data for research, training new medical products, or testing existing ones.
This guide is part of a broader project exploring AIAs in healthcare, as outlined on the project page of the website. The AIA process outlined within is designed to ensure responsible and ethical use of NMIP imaging data, a crucial aspect in maintaining the integrity and safety of medical research and practice.
The AIA process involves several key steps. First, applicants must submit a formal request for access, outlining the purpose, intended use of imaging data, and benefits, consistent with ethical and regulatory standards.
Next, the AIA itself includes a systematic evaluation of the proposed AI algorithm's potential effects on clinical accuracy, patient safety, and healthcare workflows. This step ensures the algorithm meets necessary performance, reliability, and fairness criteria before deployment or data use.
The algorithm must then be validated using the NMIP imaging dataset or comparable data to demonstrate clinical effectiveness and mitigate biases, as noted in studies validating AI algorithms on large, diverse datasets.
Oversight by institutional review boards or equivalent is likely required, focusing on patient data privacy, compliance with data protection regulations, and transparency of algorithmic decision-making.
Finally, ongoing monitoring and reporting might be incorporated post-access, tracking algorithm performance, and any adverse effects to ensure continuous safety and efficacy.
While the exact AIA process for accessing imaging data from the NMIP is not explicitly detailed in the provided user guide, this inferred outline represents best practice approaches consistent with emerging standards in AI medical imaging platforms. For exact procedural details, consultation of the official NMIP user guide or relevant regulatory documentation is necessary.
The user guide is available on the project page of the website, along with the full report on the AIA process. The partnership between the website and the NHS AI Lab is focused on exploring algorithmic impact assessments in the context of the NMIP, and the guide serves as a product of this collaboration. The guide is essential for project teams seeking access to the NMIP dataset and must be completed for the NHS AI Lab team to grant access.
- In the sphere of health-and-wellness, the integration of technology, such as Artificial Intelligence (AI), is significantly shaping the National Medical Imaging Platform (NMIP).
- This collaboration between a website and the NHS AI Lab has developed a user guide, which maps out the science of conducting an algorithmic impact assessment (AIA) in the health-and-wellness sector, specifically for AI algorithms utilized with NMIP imaging data.
