Literature DB >> 19894486

Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Effective CDS is essential for addressing healthcare performance improvement imperatives.

Anwar M Sirajuddin1, Jerome A Osheroff, Dean F Sittig, John Chuo, Ferdinand Velasco, David A Collins.   

Abstract

Effective clinical decision support (CDS) is essential for addressing healthcare performance improvement imperatives, but care delivery organizations (CDO) typically struggle with CDS deployment. Ensuring safe and effective medication delivery to patients is a central focus of CDO performance improvement efforts, and this article provides an overview of best-practice strategies for applying CDS to these goals. The strategies discussed are drawn from a new guidebook, co-published and co-sponsored by more than a dozen leading organizations. Developed by scores of CDS implementers and experts, the guidebook outlines key steps and success factors for applying CDS to medication management. A central thesis is that improving outcomes with CDS interventions requires that the CDS five rights be addressed successfully. That is, the interventions must deliver the right information, to the right person, in the right format, through the right channel, at the right point in workflow. This paper provides further details about these CDS five rights, and highlights other important strategies for successful CDS programs.

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Year:  2009        PMID: 19894486      PMCID: PMC3316472     

Source DB:  PubMed          Journal:  J Healthc Inf Manag        ISSN: 1099-811X


  10 in total

1.  Clinical decision support systems for the practice of evidence-based medicine.

Authors:  I Sim; P Gorman; R A Greenes; R B Haynes; B Kaplan; H Lehmann; P C Tang
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

2.  Effects of computerized physician order entry on prescribing practices.

Authors:  J M Teich; P R Merchia; J L Schmiz; G J Kuperman; C D Spurr; D W Bates
Journal:  Arch Intern Med       Date:  2000-10-09

3.  How to design computerized alerts to safe prescribing practices.

Authors:  Adrianne Feldstein; Steven R Simon; Jennifer Schneider; Michael Krall; Dan Laferriere; David H Smith; Dean F Sittig; Stephen B Soumerai
Journal:  Jt Comm J Qual Saf       Date:  2004-11

4.  Improving acceptance of computerized prescribing alerts in ambulatory care.

Authors:  Nidhi R Shah; Andrew C Seger; Diane L Seger; Julie M Fiskio; Gilad J Kuperman; Barry Blumenfeld; Elaine G Recklet; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

5.  High rates of adverse drug events in a highly computerized hospital.

Authors:  Jonathan R Nebeker; Jennifer M Hoffman; Charlene R Weir; Charles L Bennett; John F Hurdle
Journal:  Arch Intern Med       Date:  2005-05-23

6.  A roadmap for national action on clinical decision support.

Authors:  Jerome A Osheroff; Jonathan M Teich; Blackford Middleton; Elaine B Steen; Adam Wright; Don E Detmer
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

7.  Improving empiric antibiotic selection using computer decision support.

Authors:  R S Evans; D C Classen; S L Pestotnik; H P Lundsgaarde; J P Burke
Journal:  Arch Intern Med       Date:  1994-04-25

8.  Guided medication dosing for inpatients with renal insufficiency.

Authors:  G M Chertow; J Lee; G J Kuperman; E Burdick; J Horsky; D L Seger; R Lee; A Mekala; J Song; A L Komaroff; D W Bates
Journal:  JAMA       Date:  2001-12-12       Impact factor: 56.272

Review 9.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

Authors:  Kensaku Kawamoto; Caitlin A Houlihan; E Andrew Balas; David F Lobach
Journal:  BMJ       Date:  2005-03-14

Review 10.  Grand challenges in clinical decision support.

Authors:  Dean F Sittig; Adam Wright; Jerome A Osheroff; Blackford Middleton; Jonathan M Teich; Joan S Ash; Emily Campbell; David W Bates
Journal:  J Biomed Inform       Date:  2007-09-21       Impact factor: 6.317

  10 in total
  36 in total

1.  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

2.  Medication safety and knowledge-based functions: a stepwise approach against information overload.

Authors:  Andrius Patapovas; Harald Dormann; Brita Sedlmayr; Melanie Kirchner; Anja Sonst; Fabian Müller; Barbara Pfistermeister; Bettina Plank-Kiegele; Renate Vogler; Renke Maas; Manfred Criegee-Rieck; Hans-Ulrich Prokosch; Thomas Bürkle
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

3.  Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation.

Authors:  Linh Hoang; Richard D Boyce; Nigel Bosch; Britney Stottlemyer; Mathias Brochhausen; Jodi Schneider
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 4.  Clinical decision support for colon and rectal surgery: an overview.

Authors:  Allison B McCoy; Genevieve B Melton; Adam Wright; Dean F Sittig
Journal:  Clin Colon Rectal Surg       Date:  2013-03

5.  Measures of user experience in a streptococcal pharyngitis and pneumonia clinical decision support tools.

Authors:  D Mann; M Knaus; L McCullagh; A Sofianou; L Rosen; T McGinn; J Kannry
Journal:  Appl Clin Inform       Date:  2014-09-17       Impact factor: 2.342

6.  Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support.

Authors:  Hanna M Seidling; Shobha Phansalkar; Diane L Seger; Marilyn D Paterno; Shimon Shaykevich; Walter E Haefeli; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2011-05-12       Impact factor: 4.497

7.  Translating an evidence-based clinical pathway into shareable CDS: developing a systematic process using publicly available tools.

Authors:  Jeremy J Michel; Emilia J Flores; Lauren Dutcher; Nikhil K Mull; Amy Y Tsou
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

8.  The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.

Authors:  Gen Li; Chelsie J K Dietz; Robert E Freundlich; Matthew S Shotwell; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2020-08-21       Impact factor: 4.460

9.  Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study.

Authors:  Adam Wright; Joan S Ash; Skye Aaron; Angela Ai; Thu-Trang T Hickman; Jane F Wiesen; William Galanter; Allison B McCoy; Richard Schreiber; Christopher A Longhurst; Dean F Sittig
Journal:  Int J Med Inform       Date:  2018-08-02       Impact factor: 4.046

Review 10.  Use of Computerized Clinical Decision Support Systems to Prevent Venous Thromboembolism in Surgical Patients: A Systematic Review and Meta-analysis.

Authors:  Zachary M Borab; Michael A Lanni; Michael G Tecce; Christopher J Pannucci; John P Fischer
Journal:  JAMA Surg       Date:  2017-07-01       Impact factor: 14.766

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