Literature DB >> 10691588

Developing and implementing computerized protocols for standardization of clinical decisions.

A H Morris1.   

Abstract

Humans have only a limited ability to incorporate information in decision making. In certain situations, the mismatch between this limitation and the availability of extensive information contributes to the varying performance and high error rate of clinical decision makers. Variation in clinical practice is due in part to clinicians' poor compliance with guidelines and recommended therapies. The use of decision-support tools is a response to both the information revolution and poor compliance. Computerized protocols used to deliver decision support can be configured to contain much more detail than textual guidelines or paper-based flow diagrams. Such protocols can generate patient-specific instructions for therapy that can be carried out with little interclinician variability; however, clinicians must be willing to modify personal styles of clinical management. Protocols need not be perfect. Several defensible and reasonable approaches are available for clinical problems. However, one of these reasonable approaches must be chosen and incorporated into the protocol to promote consistent clinical decisions. This reasoning is the basis of an explicit method of decision support that allows the rigorous evaluation of interventions, including use of the protocols themselves. Computerized protocols for mechanical ventilation and management of intravenous fluid and hemodynamic factors in patients with the acute respiratory distress syndrome provide case studies for this discussion.

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Year:  2000        PMID: 10691588     DOI: 10.7326/0003-4819-132-5-200003070-00007

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  45 in total

1.  Decision support and safety of clinical environments.

Authors:  A H Morris
Journal:  Qual Saf Health Care       Date:  2002-03

2.  The evolution of eProtocols that enable reproducible clinical research and care methods.

Authors:  Denitza P Blagev; Eliotte L Hirshberg; Katherine Sward; B Taylor Thompson; Roy Brower; Jonathon Truwit; Duncan Hite; Jay Steingrub; James F Orme; Terry P Clemmer; Lindell K Weaver; Frank Thomas; Colin K Grissom; Dean Sorenson; Dean F Sittig; C Jane Wallace; Thomas D East; Homer R Warner; Alan H Morris
Journal:  J Clin Monit Comput       Date:  2012-04-11       Impact factor: 2.502

Review 3.  The design of future pediatric mechanical ventilation trials for acute lung injury.

Authors:  Robinder G Khemani; Christopher J L Newth
Journal:  Am J Respir Crit Care Med       Date:  2010-08-23       Impact factor: 21.405

Review 4.  The role of computer-based clinical decision support systems to deliver protective mechanical ventilation.

Authors:  Robinder G Khemani; Justin C Hotz; Katherine A Sward; Christopher J L Newth
Journal:  Curr Opin Crit Care       Date:  2020-02       Impact factor: 3.687

5.  Computer-based insulin infusion protocol improves glycemia control over manual protocol.

Authors:  Jeffrey B Boord; Mona Sharifi; Robert A Greevy; Marie R Griffin; Vivian K Lee; Ty A Webb; Michael E May; Lemuel R Waitman; Addison K May; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

Review 6.  Usual care as the control group in clinical trials of nonpharmacologic interventions.

Authors:  B Taylor Thompson; David Schoenfeld
Journal:  Proc Am Thorac Soc       Date:  2007-10-01

7.  Extracting nursing practice patterns from structured labor and delivery data sets.

Authors:  Eric S Hall; Sidney N Thornton
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

8.  Reasons for declining computerized insulin protocol recommendations: application of a framework.

Authors:  K Sward; J Orme; D Sorenson; L Baumann; A H Morris
Journal:  J Biomed Inform       Date:  2008-04-11       Impact factor: 6.317

9.  An electronic protocol for translation of research results to clinical practice: a preliminary report.

Authors:  Alan H Morris; James Orme; Beatriz H Rocha; John Holmen; Terry Clemmer; Nancy Nelson; Jode Allen; Al Jephson; Dean Sorenson; Kathy Sward; Homer Warner
Journal:  J Diabetes Sci Technol       Date:  2008-09

Review 10.  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

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