Literature DB >> 27830247

Computerized Clinical Decision Support: Contributions from 2015.

V Koutkias1, J Bouaud.   

Abstract

OBJECTIVE: To summarize recent research and select the best papers published in 2015 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook.
METHOD: A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry (CPOE) systems. The aim was to identify a list of candidate best papers from the retrieved papers that were then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the IMIA editorial team was finally conducted to conclude in the best paper selection.
RESULTS: Among the 974 retrieved papers, the entire review process resulted in the selection of four best papers. One paper reports on a CDSS routinely applied in pediatrics for more than 10 years, relying on adaptations of the Arden Syntax. Another paper assessed the acceptability and feasibility of an important CPOE evaluation tool in hospitals outside the US where it was developed. The third paper is a systematic, qualitative review, concerning usability flaws of medication-related alerting functions, providing an important evidence-based, methodological contribution in the domain of CDSS design and development in general. Lastly, the fourth paper describes a study quantifying the effect of a complex, continuous-care, guideline-based CDSS on the correctness and completeness of clinicians' decisions.
CONCLUSIONS: While there are notable examples of routinely used decision support systems, this 2015 review on CDSSs and CPOE systems still shows that, despite methodological contributions, theoretical frameworks, and prototype developments, these technologies are not yet widely spread (at least with their full functionalities) in routine clinical practice. Further research, testing, evaluation, and training are still needed for these tools to be adopted in clinical practice and, ultimately, illustrate the benefits that they promise.

Keywords:  International Medical Informatics Association; Medical informatics; clinical decision support systems; yearbook

Mesh:

Year:  2016        PMID: 27830247      PMCID: PMC5171568          DOI: 10.15265/IY-2016-055

Source DB:  PubMed          Journal:  Yearb Med Inform        ISSN: 0943-4747


  20 in total

1.  The effect of provider characteristics on the responses to medication-related decision support alerts.

Authors:  Insook Cho; Sarah P Slight; Karen C Nanji; Diane L Seger; Nivethietha Maniam; Julie M Fiskio; Patricia C Dykes; David W Bates
Journal:  Int J Med Inform       Date:  2015-05-09       Impact factor: 4.046

Review 2.  Usability flaws of medication-related alerting functions: A systematic qualitative review.

Authors:  Romaric Marcilly; Elske Ammenwerth; Francis Vasseur; Erin Roehrer; Marie-Catherine Beuscart-Zéphir
Journal:  J Biomed Inform       Date:  2015-03-25       Impact factor: 6.317

3.  The Unintended Consequences of Health Information Technology Revisited.

Authors:  E Coiera; J Ash; M Berg
Journal:  Yearb Med Inform       Date:  2016-11-10

4.  Attitude of physicians towards automatic alerting in computerized physician order entry systems. A comparative international survey.

Authors:  M Jung; A Hoerbst; W O Hackl; F Kirrane; D Borbolla; M W Jaspers; M Oertle; V Koutkias; L Ferret; P Massari; K Lawton; D Riedmann; S Darmoni; N Maglaveras; C Lovis; E Ammenwerth
Journal:  Methods Inf Med       Date:  2012-11-27       Impact factor: 2.176

5.  Automatic evidence quality prediction to support evidence-based decision making.

Authors:  Abeed Sarker; Diego Mollá; Cécile Paris
Journal:  Artif Intell Med       Date:  2015-04-22       Impact factor: 5.326

6.  Automated detection of medication administration errors in neonatal intensive care.

Authors:  Qi Li; Eric S Kirkendall; Eric S Hall; Yizhao Ni; Todd Lingren; Megan Kaiser; Nataline Lingren; Haijun Zhai; Imre Solti; Kristin Melton
Journal:  J Biomed Inform       Date:  2015-07-17       Impact factor: 6.317

7.  Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.

Authors:  Szymon Wilk; Mounira Kezadri-Hamiaz; Daniela Rosu; Craig Kuziemsky; Wojtek Michalowski; Daniel Amyot; Marc Carrier
Journal:  J Med Syst       Date:  2015-11-21       Impact factor: 4.460

8.  Child Health Improvement through Computer Automation: the CHICA system.

Authors:  Vibha Anand; Paul G Biondich; Gilbert Liu; Marc Rosenman; Stephen M Downs
Journal:  Stud Health Technol Inform       Date:  2004

9.  Pediatric decision support using adapted Arden Syntax.

Authors:  Vibha Anand; Aaron E Carroll; Paul G Biondich; Tamara M Dugan; Stephen M Downs
Journal:  Artif Intell Med       Date:  2015-10-01       Impact factor: 5.326

10.  Building Data-Driven Pathways From Routinely Collected Hospital Data: A Case Study on Prostate Cancer.

Authors:  Joao H Bettencourt-Silva; Jeremy Clark; Colin S Cooper; Robert Mills; Victor J Rayward-Smith; Beatriz de la Iglesia
Journal:  JMIR Med Inform       Date:  2015-07-10
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  1 in total

Review 1.  Contributions from the 2016 Literature on Clinical Decision Support.

Authors:  V Koutkias; J Bouaud
Journal:  Yearb Med Inform       Date:  2017-09-11
  1 in total

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