Literature DB >> 16442854

A taxonomic description of computer-based clinical decision support systems.

Amy Berlin1, Marco Sorani, Ida Sim.   

Abstract

OBJECTIVE: Computer-based clinical decision support systems (CDSSs) vary greatly in design and function. Using a taxonomy that we had previously developed, we describe the characteristics of CDSSs reported in the literature.
METHODS: We searched PubMed and the Cochrane Library for randomized controlled trials (RCTs) published in English between 1998 and 2003 that evaluated CDSSs. We coded each CDSS using our taxonomy.
RESULTS: 58 studies met our inclusion criteria. The 74 reported CDSSs varied greatly in context of use, knowledge and data sources, nature of decision support offered, information delivery, and workflow impact. Two distinct subsets of CDSSs were seen: patient-directed systems that provided decision support for preventive care or health-related behaviors via mail or phone (38% of systems), and inpatient systems targeting clinicians with online decision support and direct online execution of the recommendations (18%). 84% of the CDSSs required extra staffing for handling CDSS-related input or output.
CONCLUSION: Reported CDSSs are heterogeneous along many dimensions. Caution should be taken in generalizing the results of CDSS RCTs to different clinical or workflow settings.

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Mesh:

Year:  2006        PMID: 16442854     DOI: 10.1016/j.jbi.2005.12.003

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


  31 in total

1.  Implementing an integrative multi-agent clinical decision support system with open source software.

Authors:  Jelber Sayyad Shirabad; Szymon Wilk; Wojtek Michalowski; Ken Farion
Journal:  J Med Syst       Date:  2010-03-18       Impact factor: 4.460

2.  Informatics technology mimics ecology: dense, mutualistic collaboration networks are associated with higher publication rates.

Authors:  Marco D Sorani
Journal:  PLoS One       Date:  2012-01-18       Impact factor: 3.240

3.  A description and functional taxonomy of rule-based decision support content at a large integrated delivery network.

Authors:  Adam Wright; Howard Goldberg; Tonya Hongsermeier; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

Review 4.  Diagnostic performance of electronic syndromic surveillance systems in acute care: a systematic review.

Authors:  M Kashiouris; J C O'Horo; B W Pickering; V Herasevich
Journal:  Appl Clin Inform       Date:  2013-05-08       Impact factor: 2.342

5.  SeDeLo: using semantics and description logics to support aided clinical diagnosis.

Authors:  Alejandro Rodríguez-González; Jose Emilio Labra-Gayo; Ricardo Colomo-Palacios; Miguel A Mayer; Juan Miguel Gómez-Berbís; Angel García-Crespo
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

6.  Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems.

Authors:  Adam Wright; Dean F Sittig; Joan S Ash; Joshua Feblowitz; Seth Meltzer; Carmit McMullen; Ken Guappone; Jim Carpenter; Joshua Richardson; Linas Simonaitis; R Scott Evans; W Paul Nichol; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2011-03-17       Impact factor: 4.497

7.  Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.

Authors:  Spencer J DesAutels; Zachary E Fox; Dario A Giuse; Annette M Williams; Qing-Hua Kou; Asli Weitkamp; Patel Neal R; Nunzia Bettinsoli Giuse
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

8.  Thinking Together: Modeling Clinical Decision-Support as a Sociotechnical System.

Authors:  Mustafa I Hussain; Tera L Reynolds; Fatemeh E Mousavi; Yunan Chen; Kai Zheng
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

9.  An information-centric framework for designing patient-centered medical decision aids and risk communication.

Authors:  Lyndsey Franklin; Catherine Plaisant; Ben Shneiderman
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

10.  The effectiveness of M-health technologies for improving health and health services: a systematic review protocol.

Authors:  Caroline Free; Gemma Phillips; Lambert Felix; Leandro Galli; Vikram Patel; Philip Edwards
Journal:  BMC Res Notes       Date:  2010-10-06
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