Yang, Jenny
Triendl, Hagen
Soltan, Andrew A. S.
Prakash, Mangal
Clifton, David A.
Funding for this research was provided by:
Horizon 2020 Framework Programme (955681)
National Institute for Health and Care Research
Wellcome Trust (0009350)
Article History
Received: 26 January 2024
Accepted: 20 June 2024
First Online: 27 June 2024
Declarations
:
: United Kingdom National Health Service (NHS) approval via the national oversight/regulatory body, the Health Research Authority (HRA), has been granted for use of routinely collected clinical data and microbiology data from electronic health records (EHRs) to develop and validate artificial intelligence models to detect Covid-19 (CURIAL; NHS HRA IRAS ID: 281832).As the study was limited to working with deidentified data collected within routine care, and extracted retrospectively, explicit patient consent for use of the data was deemed to not be required, and is covered within the HRA approval. All necessary consent has been obtained and the appropriate institutional forms have been archived.
: NHS Health Research Authority approval was granted for the use of routine clinical and microbiology data from electronic health records (EHRs) for development and validation of artificial intelligence models to detect COVID-19 (CURIAL; IRAS ID 281832). As the study was limited to working with deidentified data collected within routine care, and extracted retrospectively, explicit patient consent for use of the data was deemed to not be required, and is covered within the HRA approval. All necessary consent has been obtained and the appropriate institutional forms have been archived.
: DAC reports personal fees from Oxford University Innovation, personal fees from BioBeats, personal fees from Sensyne Health, outside the submitted work. MP and HT are employees at Exscientia.