Literature DB >> 10939999

Computer decision support systems.

T H Payne1.   

Abstract

Computer decision support systems are computer applications designed to aid clinicians in making diagnostic and therapeutic decisions in patient care. They can simplify access to data needed to make decisions, provide reminders and prompts at the time of a patient encounter, assist in establishing a diagnosis and in entering appropriate orders, and alert clinicians when new patterns in patient data are recognized. Decision support systems that present patient-specific recommendations in a form that can save clinicians time have been shown to be highly effective, sustainable tools for changing clinician behavior. Designing and implementing such systems is challenging because of the computing infrastructure required, the need for patient data in a machine-processible form, and the changes to existing workflow that may result. Despite these difficulties, there is substantial evidence from trials in a wide range of clinical settings that computer decision support systems help clinicians do a better job caring for patients. As computer-based records and order-entry systems become more common, automated decision support systems will be used more broadly.

Entities:  

Mesh:

Year:  2000        PMID: 10939999     DOI: 10.1378/chest.118.2_suppl.47s

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  27 in total

1.  Use of clinical alerting to improve the collection of clinical research data.

Authors:  Krystl Haerian; Jon McKeeby; Gary Dipatrizio; James J Cimino
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  Computer decision support tools in primary care.

Authors:  Peter Hoonakker; Adjhaporn Khunlertkit; Matthew Tattersal; Jon Keevil
Journal:  Work       Date:  2012

3.  A computerized aid to support smoking cessation treatment for hospital patients.

Authors:  Kate E Koplan; Susan Regan; Robert C Goldszer; Louise I Schneider; Nancy A Rigotti
Journal:  J Gen Intern Med       Date:  2008-05-09       Impact factor: 5.128

4.  Bayesian information fusion networks for biosurveillance applications.

Authors:  Zaruhi R Mnatsakanyan; Howard S Burkom; Jacqueline S Coberly; Joseph S Lombardo
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

5.  Drug use evaluation of moxifloxacin (avelox) using a hand-held electronic device at a canadian teaching hospital.

Authors:  Jennifer A E Samilski; Tim T Y Lau; Dean H T Elbe; Amneet K Aulakh; Eric M C Lun
Journal:  P T       Date:  2012-05

Review 6.  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

Review 7.  Multicriteria decision analysis in oncology.

Authors:  Georges Adunlin; Vakaramoko Diaby; Alberto J Montero; Hong Xiao
Journal:  Health Expect       Date:  2014-03-17       Impact factor: 3.377

Review 8.  The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.

Authors:  Kristen Miller; Muge Capan; Danielle Weldon; Yaman Noaiseh; Rebecca Kowalski; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold
Journal:  Int J Med Inform       Date:  2018-05-21       Impact factor: 4.046

9.  Assessment of chronic illness care (ACIC): a practical tool to measure quality improvement.

Authors:  Amy E Bonomi; Edward H Wagner; Russell E Glasgow; Michael VonKorff
Journal:  Health Serv Res       Date:  2002-06       Impact factor: 3.402

10.  Do decision support systems influence variation in prescription?

Authors:  Judith D de Jong; Peter P Groenewegen; Peter Spreeuwenberg; Gert P Westert; Dinny H de Bakker
Journal:  BMC Health Serv Res       Date:  2009-01-30       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.