Literature DB >> 27423699

User-centered design of multi-gene sequencing panel reports for clinicians.

Elizabeth Cutting1, Meghan Banchero1, Amber L Beitelshees1, James J Cimino2, Guilherme Del Fiol3, Ayse P Gurses4, Mark A Hoffman5, Linda Jo Bone Jeng6, Kensaku Kawamoto3, Mark Kelemen7, Harold Alan Pincus8, Alan R Shuldiner1, Marc S Williams9, Toni I Pollin1, Casey Lynnette Overby10.   

Abstract

The objective of this study was to develop a high-fidelity prototype for delivering multi-gene sequencing panel (GS) reports to clinicians that simulates the user experience of a final application. The delivery and use of GS reports can occur within complex and high-paced healthcare environments. We employ a user-centered software design approach in a focus group setting in order to facilitate gathering rich contextual information from a diverse group of stakeholders potentially impacted by the delivery of GS reports relevant to two precision medicine programs at the University of Maryland Medical Center. Responses from focus group sessions were transcribed, coded and analyzed by two team members. Notification mechanisms and information resources preferred by participants from our first phase of focus groups were incorporated into scenarios and the design of a software prototype for delivering GS reports. The goal of our second phase of focus group, to gain input on the prototype software design, was accomplished through conducting task walkthroughs with GS reporting scenarios. Preferences for notification, content and consultation from genetics specialists appeared to depend upon familiarity with scenarios for ordering and delivering GS reports. Despite familiarity with some aspects of the scenarios we proposed, many of our participants agreed that they would likely seek consultation from a genetics specialist after viewing the test reports. In addition, participants offered design and content recommendations. Findings illustrated a need to support customized notification approaches, user-specific information, and access to genetics specialists with GS reports. These design principles can be incorporated into software applications that deliver GS reports. Our user-centered approach to conduct this assessment and the specific input we received from clinicians may also be relevant to others working on similar projects.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genomic medicine; Genomic sequencing; Precision medicine; Task walkthroughs; User experience research

Mesh:

Year:  2016        PMID: 27423699      PMCID: PMC5106875          DOI: 10.1016/j.jbi.2016.07.014

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  39 in total

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6.  Using Workflow Modeling to Identify Areas to Improve Genetic Test Processes in the University of Maryland Translational Pharmacogenomics Project.

Authors:  Elizabeth M Cutting; Casey L Overby; Meghan Banchero; Toni Pollin; Mark Kelemen; Alan R Shuldiner; Amber L Beitelshees
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

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8.  The link between providers and patients: how laboratories can ensure quality results with genetic testing.

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Authors:  Isaac S Kohane; Michael Hsing; Sek Won Kong
Journal:  Genet Med       Date:  2012-02-09       Impact factor: 8.822

10.  ClinVar: public archive of relationships among sequence variation and human phenotype.

Authors:  Melissa J Landrum; Jennifer M Lee; George R Riley; Wonhee Jang; Wendy S Rubinstein; Deanna M Church; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2013-11-14       Impact factor: 16.971

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2.  Integrating Genomic Resources with Electronic Health Records using the HL7 Infobutton Standard.

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3.  Implementing the VMC Specification to Reduce Ambiguity in Genomic Variant Representation.

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Review 4.  A Review of Recent Advances in Translational Bioinformatics: Bridges from Biology to Medicine.

Authors:  J Vamathevan; E Birney
Journal:  Yearb Med Inform       Date:  2017-09-11

5.  Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons.

Authors:  Jacob K Crump; Guilherme Del Fiol; Marc S Williams; Robert R Freimuth
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6.  AMLVaran: a software approach to implement variant analysis of targeted NGS sequencing data in an oncological care setting.

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  6 in total

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