Evidence map›Paper›PMID 26657707›Full record

ArticleJournal of biomedical informatics2016

DREAM: Classification scheme for dialog acts in clinical research query mediation.

Julia Hoxha, Praveen Chandar, Zhe He, James Cimino, David Hanauer, Chunhua Weng

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. A multi-site cognitive task analysis for biomedical query mediation.International journal of medical informatics · 2016
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julia HoxhaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Praveen ChandarDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Zhe HeDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
James CiminoLaboratory for Informatics Development, NIH Clinical Center, Bethesda, MD, USA.
David HanauerDepartment of Pediatrics, School of Information, University of Michigan, Ann Arbor, MI, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY, USA. Electronic address: chunhua@columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
NCATS NIH HHS UL1 TR000040NLM NIH HHS R01 LM009886NLM NIH HHS R01LM009886
6 · The paper itself

Abstract

Clinical data access involves complex but opaque communication between medical researchers and query analysts. Understanding such communication is indispensable for designing intelligent human-machine dialog systems that automate query formulation. This study investigates email communication and proposes a novel scheme for classifying dialog acts in clinical research query mediation. We analyzed 315 email messages exchanged in the communication for 20 data requests obtained from three institutions. The messages were segmented into 1333 utterance units. Through a rigorous process, we developed a classification scheme and applied it for dialog act annotation of the extracted utterances. Evaluation results with high inter-annotator agreement demonstrate the reliability of this scheme. This dataset is used to contribute preliminary understanding of dialog acts distribution and conversation flow in this dialog space.

Indexed as

CommunicationElectronic Health RecordsBiomedical ResearchHumansClinical research query mediation dialogDialog act modelingDialog annotation schemeHuman–human conversation analysis

Identifiers

PMID26657707
PMCPMC4792720

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.