Literature DB >> 24728888

Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.

Sumant R Ranji1, Stephanie Rennke1, Robert M Wachter1.   

Abstract

BACKGROUND: Adverse drug events (ADEs) are a major cause of morbidity in hospitalised and ambulatory patients. Computerised provider order entry (CPOE) combined with clinical decision support systems (CDSS) are being widely implemented with the goal of preventing ADEs, but the effectiveness of these systems remains unclear.
METHODS: We searched the specialised database Agency for Healthcare Research and Quality (AHRQ) Patient Safety Net to identify reviews of the effect of CPOE combined with CDSS on ADE rates in inpatient and outpatient settings. We included systematic and narrative reviews published since 2008 and controlled clinical trials published since 2012.
RESULTS: We included five systematic reviews, one narrative review and two controlled trials. The existing literature consists mostly of studies of homegrown systems conducted in the inpatient setting. CPOE+CDSS was consistently reported to reduce prescribing errors, but does not appear to prevent clinical ADEs in either the inpatient or outpatient setting. Implementation of CPOE+CDSS profoundly changes staff workflow, and often leads to unintended consequences and new safety issues (such as alert fatigue) which limit the system's safety effects.
CONCLUSIONS: CPOE+CDSS does not appear to reliably prevent clinical ADEs. Despite more widespread implementation over the past decade, it remains a work in progress. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  adverse drug events; clinical decision support systems; computerized provider order entry; health information technology; medication errors; patient safety

Mesh:

Year:  2014        PMID: 24728888     DOI: 10.1136/bmjqs-2013-002165

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  34 in total

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Authors:  R Marcilly; E Ammenwerth; E Roehrer; S Pelayo; F Vasseur; M-C Beuscart-Zéphir
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Review 3.  Information Technology-Based Interventions to Improve Drug-Drug Interaction Outcomes: A Systematic Review on Features and Effects.

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Journal:  J Med Syst       Date:  2016-11-26       Impact factor: 4.460

Review 4.  A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.

Authors:  K Zheng; J Abraham; L L Novak; T L Reynolds; A Gettinger
Journal:  Yearb Med Inform       Date:  2016-11-10

5.  Use of Contraindicated Antiplatelet Medications in the Setting of Percutaneous Coronary Intervention: Insights From the Veterans Affairs Clinical Assessment, Reporting, and Tracking Program.

Authors:  Geoffrey D Barnes; Maggie A Stanislawski; Wenhui Liu; Anna E Barón; Ehrin J Armstrong; P Michael Ho; Andrew Klein; Thomas M Maddox; Brahmajee K Nallamothu; John S Rumsfeld; Thomas T Tsai; Steven M Bradley
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-05-31

Review 6.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

7.  The Effect of Eliminating Intermediate Severity Drug-Drug Interaction Alerts on Overall Medication Alert Burden and Acceptance Rate.

Authors:  Amy M Knight; Joyce Maygers; Kimberly A Foltz; Isha S John; Hsin Chieh Yeh; Daniel J Brotman
Journal:  Appl Clin Inform       Date:  2019-12-04       Impact factor: 2.342

8.  What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies.

Authors:  Haroldas Petkus; Jan Hoogewerf; Jeremy C Wyatt
Journal:  Clin Med (Lond)       Date:  2020-05       Impact factor: 2.659

9.  Reducing hospital admissions for adverse drug events through coordinated pharmacist care: learning from Hawai'i without a field trip.

Authors:  Michael A Steinman
Journal:  BMJ Qual Saf       Date:  2018-11-24       Impact factor: 7.035

10.  A Mobile Computerized Decision Support System to Prevent Hypoglycemia in Hospitalized Patients With Type 2 Diabetes Mellitus.

Authors:  Stephan Spat; Klaus Donsa; Peter Beck; Bernhard Höll; Julia K Mader; Lukas Schaupp; Thomas Augustin; Franco Chiarugi; Katharina M Lichtenegger; Johannes Plank; Thomas R Pieber
Journal:  J Diabetes Sci Technol       Date:  2016-11-03
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