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Characterization of the Biomedical Query Mediation Process

To most medical researchers, databases are obscure black boxes. Query analysts are often indispensable guides aiding researchers to perform mediated data queries. However, this approach does not scale up and is time-consuming and expensive. We analyzed query mediation dialogues to inform future desi...

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Detalles Bibliográficos
Autores principales: Hruby, Gregory W., Boland, Mary Regina, Cimino, James J., Gao, Junfeng, Wilcox, Adam B., Hirschberg, Julia, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 201
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845777/
https://www.ncbi.nlm.nih.gov/pubmed/24303242
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author Hruby, Gregory W.
Boland, Mary Regina
Cimino, James J.
Gao, Junfeng
Wilcox, Adam B.
Hirschberg, Julia
Weng, Chunhua
author_facet Hruby, Gregory W.
Boland, Mary Regina
Cimino, James J.
Gao, Junfeng
Wilcox, Adam B.
Hirschberg, Julia
Weng, Chunhua
author_sort Hruby, Gregory W.
collection PubMed
description To most medical researchers, databases are obscure black boxes. Query analysts are often indispensable guides aiding researchers to perform mediated data queries. However, this approach does not scale up and is time-consuming and expensive. We analyzed query mediation dialogues to inform future designs of intelligent query mediation systems. Thirty-one mediated query sessions for 22 research projects were recorded and transcribed. We analyzed 10 of these to develop an annotation schema for dialogue acts through iterative refinement. Three coders independently annotated all 3160 dialogue acts. We assessed the inter-rater agreement and resolved disagreement by group consensus. This study contributes early knowledge of the query negotiation space for medical research. We conclude that research data query formulation is not a straightforward translation from researcher data needs to database queries, but rather iterative, process-oriented needs assessment and refinement.
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spelling pubmed-38457772013-12-03 Characterization of the Biomedical Query Mediation Process Hruby, Gregory W. Boland, Mary Regina Cimino, James J. Gao, Junfeng Wilcox, Adam B. Hirschberg, Julia Weng, Chunhua AMIA Jt Summits Transl Sci Proc Articles To most medical researchers, databases are obscure black boxes. Query analysts are often indispensable guides aiding researchers to perform mediated data queries. However, this approach does not scale up and is time-consuming and expensive. We analyzed query mediation dialogues to inform future designs of intelligent query mediation systems. Thirty-one mediated query sessions for 22 research projects were recorded and transcribed. We analyzed 10 of these to develop an annotation schema for dialogue acts through iterative refinement. Three coders independently annotated all 3160 dialogue acts. We assessed the inter-rater agreement and resolved disagreement by group consensus. This study contributes early knowledge of the query negotiation space for medical research. We conclude that research data query formulation is not a straightforward translation from researcher data needs to database queries, but rather iterative, process-oriented needs assessment and refinement. American Medical Informatics Association 2013 -03- 18 /pmc/articles/PMC3845777/ /pubmed/24303242 Text en ©2013 AMIA - All rights reserved.
spellingShingle Articles
Hruby, Gregory W.
Boland, Mary Regina
Cimino, James J.
Gao, Junfeng
Wilcox, Adam B.
Hirschberg, Julia
Weng, Chunhua
Characterization of the Biomedical Query Mediation Process
title Characterization of the Biomedical Query Mediation Process
title_full Characterization of the Biomedical Query Mediation Process
title_fullStr Characterization of the Biomedical Query Mediation Process
title_full_unstemmed Characterization of the Biomedical Query Mediation Process
title_short Characterization of the Biomedical Query Mediation Process
title_sort characterization of the biomedical query mediation process
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845777/
https://www.ncbi.nlm.nih.gov/pubmed/24303242
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