Literature DB >> 22441903

Clinical decision support systems: potential with pitfalls.

John Eberhardt1, Anton Bilchik, Alexander Stojadinovic.   

Abstract

Clinical Decision Support Systems (CDSS), an important part of clinical practice, are comprised of a: knowledge base; program for integrating patient-specific information with the knowledge-base; and, user-interface to allow clinicians to interact with the system and get the right information needed to make the right decision for the right patient at the right time. We review the common approaches to CDSS, their strengths and weaknesses and how they are evaluated and developed for clinical use.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22441903     DOI: 10.1002/jso.23053

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  11 in total

1.  Prediction of periventricular leukomalacia occurrence in neonates after heart surgery.

Authors:  Ali Jalali; Erin M Buckley; Jennifer M Lynch; Peter J Schwab; Daniel J Licht; C Nataraj
Journal:  IEEE J Biomed Health Inform       Date:  2013-10-09       Impact factor: 5.772

Review 2.  Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis.

Authors:  Lorenzo Moja; Koren H Kwag; Theodore Lytras; Lorenzo Bertizzolo; Linn Brandt; Valentina Pecoraro; Giulio Rigon; Alberto Vaona; Francesca Ruggiero; Massimo Mangia; Alfonso Iorio; Ilkka Kunnamo; Stefanos Bonovas
Journal:  Am J Public Health       Date:  2014-10-16       Impact factor: 9.308

3.  The association between use of a clinical decision support tool and adherence to monitoring for medication-laboratory guidelines in the ambulatory setting.

Authors:  B Lau; C L Overby; H S Wirtz; E B Devine
Journal:  Appl Clin Inform       Date:  2013-10-16       Impact factor: 2.342

4.  The use of the Dutch Self-Sufficiency Matrix (SSM-D) to inform allocation decisions to public mental health care for homeless people.

Authors:  Steve Lauriks; Matty A S de Wit; Marcel C A Buster; Thijs J L Fassaert; Ron van Wifferen; Niek S Klazinga
Journal:  Community Ment Health J       Date:  2014-02-11

Review 5.  Computer-assisted abdominal surgery: new technologies.

Authors:  H G Kenngott; M Wagner; F Nickel; A L Wekerle; A Preukschas; M Apitz; T Schulte; R Rempel; P Mietkowski; F Wagner; A Termer; Beat P Müller-Stich
Journal:  Langenbecks Arch Surg       Date:  2015-02-21       Impact factor: 3.445

6.  Iterative User Interface Design for Automated Sequential Organ Failure Assessment Score Calculator in Sepsis Detection.

Authors:  Christopher Ansel Aakre; Jaben E Kitson; Man Li; Vitaly Herasevich
Journal:  JMIR Hum Factors       Date:  2017-05-18

Review 7.  Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.

Authors:  Saif Khairat; David Marc; William Crosby; Ali Al Sanousi
Journal:  JMIR Med Inform       Date:  2018-04-18

8.  Can the use of digital algorithms improve quality care? An example from Afghanistan.

Authors:  Andrea Bernasconi; François Crabbé; Martin Raab; Rodolfo Rossi
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

9.  The first steps in the evaluation of a "black-box" decision support tool: a protocol and feasibility study for the evaluation of Watson for Oncology.

Authors:  Lotte Keikes; Stephanie Medlock; Daniel J van de Berg; Shuxin Zhang; Onno R Guicherit; Cornelis J A Punt; Martijn G H van Oijen
Journal:  J Clin Transl Res       Date:  2018-07-27

Review 10.  A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping.

Authors:  Jhon Camacho; Manuela Zanoletti-Mannello; Zach Landis-Lewis; Sandra L Kane-Gill; Richard D Boyce
Journal:  J Med Internet Res       Date:  2020-08-06       Impact factor: 5.428

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