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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedStrauss AT, Sidoti CN, Sung HC
Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: a qualitative study.
This study’s objective was to use human-centered design methods to elicit providers' perceptions of AI-based clinical decision support (AI-CDS) for liver transplant listing decisions. This multicenter qualitative study involved semistructured interviews with 53 multidisciplinary liver transplant providers from 2 transplant centers. The author’s analysis yielded 6 themes important for the design of fair AI-CDS for liver transplant listing decisions: (1) transparency in the creators behind the AI-CDS and their motivations; (2) understanding how the AI-CDS uses data to support recommendations (ie, interpretability); (3) acknowledgment that AI-CDS could mitigate emotions and biases; (4) AI-CDS as a member of the transplant team, not a replacement; (5) identifying patient resource needs; and (6) including the patient's role in the AI-CDS.
AHRQ-funded; HS024600.
Citation: Strauss AT, Sidoti CN, Sung HC .
Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: a qualitative study.
Hepatol Commun 2023 Oct; 7(10). doi: 10.1097/hc9.0000000000000239..
Keywords: Clinical Decision Support (CDS), Transplantation, Health Information Technology (HIT)