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AHRQ Research Studies
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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 4 of 4 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)
Wey A, Salkowski N, Kremers WK
A kidney offer acceptance decision tool to inform the decision to accept an offer or wait for a better kidney.
The researchers developed a kidney offer acceptance decision tool to predict the probability of graft survival and patient survival for first-time kidney-alone candidates after an offer is accepted or declined, and they characterized the effect of restricting the donor pool with a maximum acceptable kidney donor profile index (KDPI). Donor pool restrictions were associated with worse 3-year outcomes, especially for candidates with high allocation priority.
AHRQ-funded; HS024527.
Citation: Wey A, Salkowski N, Kremers WK .
A kidney offer acceptance decision tool to inform the decision to accept an offer or wait for a better kidney.
Am J Transplant 2018 Apr;18(4):897-906. doi: 10.1111/ajt.14506.
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Keywords: Clinical Decision Support (CDS), Shared Decision Making, Kidney Disease and Health, Medical Expenditure Panel Survey (MEPS), Transplantation
Fumo DE, Kapoor V, Reece LJ
Historical matching strategies in kidney paired donation: the 7-year evolution of a web-based virtual matching system.
Failure to convert computer-identified possible kidney paired donation (KPD) exchanges into transplants has prohibited KPD from reaching its full potential. This study analyzes the progress of exchanges in moving from "offers" to completed transplants. The "offer" and 1-way success rates were 21.9 and 15.5 percent, respectively. Three reasons for failure were found that could be prospectively prevented by changes in protocol or software.
AHRQ-funded; HS020610.
Citation: Fumo DE, Kapoor V, Reece LJ .
Historical matching strategies in kidney paired donation: the 7-year evolution of a web-based virtual matching system.
Am J Transplant 2015 Oct;15(10):2646-54. doi: 10.1111/ajt.13337.
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Keywords: Health Information Technology (HIT), Transplantation, Shared Decision Making, Clinical Decision Support (CDS)
Bray M, Wang W, Song PX
Planning for uncertainty and fallbacks can increase the number of transplants in a kidney-paired donation program.
The researchers outlined and examined, through example and by simulation, four schemes for selecting potential matches in a realistic model of a kidney-paired donation system. Their proposed schemes take account of probabilities that chosen transplants may not be completed as well as allowing for contingency plans when the optimal solution fails.
AHRQ-funded; HS020610.
Citation: Bray M, Wang W, Song PX .
Planning for uncertainty and fallbacks can increase the number of transplants in a kidney-paired donation program.
Am J Transplant 2015 Oct;15(10):2636-45. doi: 10.1111/ajt.13413.
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Keywords: Transplantation, Clinical Decision Support (CDS), Health Information Technology (HIT)