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DONAIT: DONor Assessment and Identification Tool: Developing an AI tool for the identification of organ/tissue donation candidates using AI screening of Electronic Health Records
Safe People
Organisation name
University Hospital Southampton
Applicant name(s)
Funders/ Sponsors
Safe Projects
Project ID
SDE_WXS_PROJ_102
Lay summary
Most potential deceased organ donors are missed due to inefficient manual processes, resulting in lost transplant opportunities and unfulfilled donor wishes, as shown in a previous UHS audit. Ultimate aim: to develop an electronic tool that screens patients for donation eligibility and alerts clinicians when a potential donor passes away, helping to improve identification and increase donation rates. Audit aim: to determine the accuracy with which simple structured data available at the time of death can be used to predict donation eligibility.
Public benefit statement
The audit aims to increase eye donations, which will reduce waiting times and workload, and allow more people to benefit from sight-saving transplants. Demonstrating predictive capability of routinely collected data could assist funding application for further research/clinical tool development.
Other approval committees
Latest approval date
15/05/2025
Safe Data
Dataset(s) name
In-hospital patient deaths and structured data (including ICDs
cancer diagnoses & histopathology) to develop an eligibility flagging algorithm based on patient diagnoses.
Safe Setting
Access type
TRE