The AI-Supported Image Analysis in Large Bowel Camera Capsule Endoscopy (AICE) project, funded by Horizon Europe and UK Research and Innovation, aims to develop an AI- assisted patient pathway for Colon Capsule Endoscopy (CCE). The AICE pathway will enhance comfort and efficiency, improve patient compliance, and identify those best suited for CCE, leading to earlier detection of bowel pathology and better outcomes.
The University of Strathclyde and Glasgow School of Art are developing a user-facing digital app to enhance the patient experience during the AICE pathway. Patients may prefer CCE as it can be performed outside hospitals and reduces travel.
Interviews with AICE Team researchers and CCE implementers informed participatory design preparation and an initial prototype created using a “design through doing” approach. The prototype will serve as a prompt for participatory design workshops involving both patients with prior CCE experience and healthcare professionals delivering CCE. Future workshops and focus groups will generate and test design ideas with a wider range of people.
The user-facing app will support and empower patients to prepare and manage their procedures, including facilitating healthcare professional care. The research aims to inform remote procedure delivery, establish principles for patient professionalisation, and create a digital app adaptable to various contexts and patient needs. It will also explore the role of AI algorithms and patients’ relationship with them.