Evidence map›Paper›PMID 25954586›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014

Using software to elicit user needs for clinical research visit scheduling.

Chunhua Weng, Mary Regina Boland, Yat So, Alexander Rusanov, Carlos Lopez, Richard Steinman, Linda Busacca, Suzanne Bakken, J Thomas Bigger

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chunhua WengDepartment of Biomedical Informatics, New York City.
Mary Regina BolandDepartment of Biomedical Informatics, New York City.
Yat SoDepartment of Biomedical Informatics, New York City.
Alexander RusanovDepartment of Anesthesiology, New York City.
Carlos LopezDepartment of Medicine, New York City.
Richard SteinmanDepartment of Medicine, New York City.
Linda BusaccaClinical Trials Office, New York City.
Suzanne BakkenDepartment of Biomedical Informatics, New York City ; School of Nursing, Columbia University, New York City.
J Thomas BiggerDepartment of Medicine, New York City.

Funding

Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Washington Heights Initiative Community-based Comparative Effectiveness ResearchR01HS019853 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2010 to 2010
$8.9M
Developing Flexible EHR Plug-ins to Re-Engineer Clinical Care and Research WorkflowsR01LM010815 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOMMA, SHUNICHI, WENG, CHUNHUA · 2010 to 2013
$1.9M
AHRQ HHS R01 HS019853NCATS NIH HHS UL1 TR000040NLM NIH HHS R01 LM010815
6 · The paper itself

Abstract

User needs understanding is critical for developing useful and usable clinical research decision support. Existing methods largely depend on self-reporting and often fail to elicit implicit or fine-grained user needs. We hypothesized that functional software would address this problem by presenting to users existing technology while simultaneously encouraging users to optimize workflow. Using clinical research visit scheduling as an example, we used a piece of software under development that was called IMPACT to reveal user needs iteratively. The identified user needs explained why most clinical research coordinators still rely on paper to schedule clinical research visits. The common user needs themes such as information completeness for software to be useful may generalize to other clinical decision support. This paper contributes valuable firsthand knowledge about user needs for decision support for clinical research visit scheduling among clinical research coordinators and a generalizable methodology for collecting and analyzing software usage data to inform user needs elicitation.

Identifiers

PMID25954586
PMCPMC4419758

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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.