Literature DB >> 15030611

Computerized clinical decision-support in respiratory care.

Reed M Gardner1.   

Abstract

Computers were initially used in health care for billing and administrative functions. More recently computers have been used to present clinical information such as laboratory results and pharmacy orders. Many medical informatics researchers believe that the ultimate goal of the "electronic health record" should be to advance computerized clinical decision-support. This report considers the challenges of developing electronic-health-record systems and integrating them into useful computerized decision-support systems and presents a "pyramid of progress" concept that involves 5 steps: (1) to gather electronic health data into a standardized and coded format, (2) to validate the quality of that electronic health data, (3) to optimize presentation of electronic health data and explore computerized decision-support, (4) to develop and share computerized knowledge bases that are based on clinical evidence as well as consensus, and (5) to tailor and to implement the computerized strategies so that they fit into the workflow process of patient care. This report discusses 3 examples of successful computerized clinical decision-support (use of antibiotics, laboratory alerting, and ventilator management) and discusses strategies essential to making computerized clinical decision-support more widely available and useful.

Entities:  

Mesh:

Year:  2004        PMID: 15030611

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  7 in total

1.  Development of a workflow integration survey (WIS) for implementing computerized clinical decision support.

Authors:  Mindy Flanagan; Nicole Arbuckle; Jason J Saleem; Laura G Militello; David A Haggstrom; Bradley N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  A computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside.

Authors:  Philip J Kroth; Paul R Dexter; J Marc Overhage; Cynthia Knipe; Siu L Hui; Anne Belsito; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Comparative outcome studies of clinical decision support software: limitations to the practice of evidence-based system acquisition.

Authors:  Gaurav Jay Dhiman; Kyle T Amber; Kenneth W Goodman
Journal:  J Am Med Inform Assoc       Date:  2015-02-08       Impact factor: 4.497

4.  So What? A Tribute to Dr. Reed M. Gardner, PhD, FACMI.

Authors:  R Scott Evans
Journal:  Appl Clin Inform       Date:  2021-02-26       Impact factor: 2.342

5.  Time series analysis as input for clinical predictive modeling: modeling cardiac arrest in a pediatric ICU.

Authors:  Curtis E Kennedy; James P Turley
Journal:  Theor Biol Med Model       Date:  2011-10-24       Impact factor: 2.432

6.  Intention to adopt clinical decision support systems in a developing country: effect of physician's perceived professional autonomy, involvement and belief: a cross-sectional study.

Authors:  Murali Sambasivan; Pouyan Esmaeilzadeh; Naresh Kumar; Hossein Nezakati
Journal:  BMC Med Inform Decis Mak       Date:  2012-12-05       Impact factor: 2.796

7.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

  7 in total

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