Literature DB >> 33542460

An overview of clinical decision support systems: benefits, risks, and strategies for success.

Reed T Sutton1, David Pincock2, Daniel C Baumgart1, Daniel C Sadowski1, Richard N Fedorak1, Karen I Kroeker3.   

Abstract

Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution. They are now commonly administered through electronic medical records and other computerized clinical workflows, which has been facilitated by increasing global adoption of electronic medical records with advanced capabilities. Despite these advances, there remain unknowns regarding the effect CDSS have on the providers who use them, patient outcomes, and costs. There have been numerous published examples in the past decade(s) of CDSS success stories, but notable setbacks have also shown us that CDSS are not without risks. In this paper, we provide a state-of-the-art overview on the use of clinical decision support systems in medicine, including the different types, current use cases with proven efficacy, common pitfalls, and potential harms. We conclude with evidence-based recommendations for minimizing risk in CDSS design, implementation, evaluation, and maintenance.

Year:  2020        PMID: 33542460     DOI: 10.1038/s41746-020-0221-y

Source DB:  PubMed          Journal:  NPJ Digit Med        ISSN: 2398-6352


  31 in total

1.  Effect of bar-code technology on the safety of medication administration.

Authors:  Eric G Poon; Carol A Keohane; Catherine S Yoon; Matthew Ditmore; Anne Bane; Osnat Levtzion-Korach; Thomas Moniz; Jeffrey M Rothschild; Allen B Kachalia; Judy Hayes; William W Churchill; Stuart Lipsitz; Anthony D Whittemore; David W Bates; Tejal K Gandhi
Journal:  N Engl J Med       Date:  2010-05-06       Impact factor: 91.245

2.  Impact of an evidence-based computerized decision support system on primary care prescription costs.

Authors:  S Troy McMullin; Thomas P Lonergan; Charles S Rynearson; Thomas D Doerr; Paul A Veregge; Edward S Scanlan
Journal:  Ann Fam Med       Date:  2004 Sep-Oct       Impact factor: 5.166

3.  Effects of an integrated clinical information system on medication safety in a multi-hospital setting.

Authors:  Charles D Mahoney; Christine M Berard-Collins; Reid Coleman; Joseph F Amaral; Carole M Cotter
Journal:  Am J Health Syst Pharm       Date:  2007-09-15       Impact factor: 2.637

4.  Impact of an alerting clinical decision support system for glucose control on protocol compliance and glycemic control in the intensive cardiac care unit.

Authors:  Jonathan A Lipton; Rogier J Barendse; Arend F L Schinkel; K Martijn Akkerhuis; Maarten L Simoons; Eric J G Sijbrands
Journal:  Diabetes Technol Ther       Date:  2011-02-03       Impact factor: 6.118

Review 5.  Machine Learning in Medicine.

Authors:  Rahul C Deo
Journal:  Circulation       Date:  2015-11-17       Impact factor: 29.690

6.  Impact of a clinical decision support system on pharmacy clinical interventions, documentation efforts, and costs.

Authors:  Stacy Calloway; Hameed A Akilo; Kyle Bierman
Journal:  Hosp Pharm       Date:  2013-10

7.  Prevalence of drug-drug interactions at hospital entry and during hospital stay of patients in internal medicine.

Authors:  Priska Vonbach; André Dubied; Stephan Krähenbühl; Jürg H Beer
Journal:  Eur J Intern Med       Date:  2008-02-07       Impact factor: 4.487

8.  Improving adherence to asthma clinical guidelines and discharge documentation from emergency departments: implementation of a dynamic and integrated electronic decision support system.

Authors:  Raymond Kwok; Michael Dinh; David Dinh; Matthew Chu
Journal:  Emerg Med Australas       Date:  2009-02       Impact factor: 2.151

9.  A Decision Support Tool for Using an ICD-10 Anatomographer to Address Admission Coding Inaccuracies: A Commentary.

Authors:  Christopher M Bell; Arash Jalali; Edward Mensah
Journal:  Online J Public Health Inform       Date:  2013-07-01

10.  National Rules for Drug-Drug Interactions: Are They Appropriate for Tertiary Hospitals?

Authors:  Insook Cho; Jae Ho Lee; Jinwook Choi; Hee Hwang; David W Bates
Journal:  J Korean Med Sci       Date:  2016-12       Impact factor: 2.153

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