Journal article

Introducing Edna: A trainee chatbot designed to support communication about additional (secondary) genomic findings

David Ireland, DanaKai Bradford, Emma Szepe, Ella Lynch, Melissa Martyn, David Hansen, Clara Gaff

PATIENT EDUCATION AND COUNSELING | ELSEVIER IRELAND LTD | Published : 2021

Abstract

OBJECTIVE: To support informed decision-making about reanalysis of clinical genomic data for risk of preventable conditions ('additional findings') by developing a chatbot (electronic genetic resource, 'eDNA'). METHODS: Interactions in pre-test genetic counseling sessions (13.5 h) about additional findings were characterized using proponent, thematic and semantic analyses of transcripts. We then wrote interfaces to draw supplementary data from external genetics applications. To create Edna, this content was programmed using a chatbot framework which interacts with patients via speech-to-text. RESULTS: Conditions, terms, explanations of concepts, and key factors to consider in decision making..

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Grants

Funding Acknowledgements

This study was funded by the State Government of Victoria (Department of Health and Human Services) and the 10 member organisations of the Melbourne Genomics Health Alliance.Work undertaken at the Murdoch Children's Research Institute was supported by the Victorian Government's Operational Infrastructure Support Program.