scholarly journals The impact of computerized provider order entry systems on medical-imaging services: a systematic review

2011 ◽  
Vol 18 (3) ◽  
pp. 335-340 ◽  
Author(s):  
Andrew Georgiou ◽  
Mirela Prgomet ◽  
Andrew Markewycz ◽  
Edwina Adams ◽  
Johanna I Westbrook
2016 ◽  
Vol 24 (2) ◽  
pp. 413-422 ◽  
Author(s):  
Mirela Prgomet ◽  
Ling Li ◽  
Zahra Niazkhani ◽  
Andrew Georgiou ◽  
Johanna I Westbrook

Objective: To conduct a systematic review and meta-analysis of the impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay (LOS), and mortality in intensive care units (ICUs). Methods: We searched for English-language literature published between January 2000 and January 2016 using Medline, Embase, and CINAHL. Titles and abstracts of 586 unique citations were screened. Studies were included if they: (1) reported results for an ICU population; (2) evaluated the impact of CPOE or the addition of CDSSs to an existing CPOE system; (3) reported quantitative data on medication errors, ICU LOS, hospital LOS, ICU mortality, and/or hospital mortality; and (4) used a randomized controlled trial or quasi-experimental study design. Results: Twenty studies met our inclusion criteria. The transition from paper-based ordering to commercial CPOE systems in ICUs was associated with an 85% reduction in medication prescribing error rates and a 12% reduction in ICU mortality rates. Overall meta-analyses of LOS and hospital mortality did not demonstrate a significant change. Discussion and Conclusion: Critical care settings, both adult and pediatric, involve unique complexities, making them vulnerable to medication errors and adverse patient outcomes. The currently limited evidence base requires research that has sufficient statistical power to identify the true effect of CPOE implementation. There is also a critical need to understand the nature of errors arising post-CPOE and how the addition of CDSSs can be used to provide greater benefit to delivering safe and effective patient care.


2010 ◽  
Vol 4 (1) ◽  
pp. 206-213 ◽  
Author(s):  
Zahra Niazkhani ◽  
Habibollah Pirnejad ◽  
Antoinette de Bont ◽  
Jos Aarts

Background: Computerized provider order entry (CPOE) systems are implemented in various clinical contexts of a hospital. To identify the role of the clinical context in CPOE use, we compared the impact of a CPOE system on the medication process in both non-surgical and surgical specialties. Methods: We conducted a qualitative study of surgical and non-surgical specialties in a 1237-bed, academic hospital in the Netherlands. We interviewed the clinical end users of a computerized medication order entry system in both specialty types and analyzed the interview transcripts to elicit qualitative differences between the clinical contexts, clinicians’ attitudes, and specialty-specific requirements. Results: Our study showed that the differences in clinical contexts between non-surgical and surgical specialties resulted in a disparity between clinicians’ requirements when using CPOE. Non-surgical specialties had a greater medication workload, greater and more diverse information needs to be supported in a timely manner by the system, and thus more intensive interaction with the CPOE system. In turn these factors collectively influenced the perceived impact of the CPOE system on the clinicians’ practice. The non-surgical clinicians expressed less positive attitudes compared to the surgical clinicians, who perceived their interaction with the system to be less intensive and less problematic. Conclusion: Our study shows that clinicians’ different attitudes towards the system and the perceived impact of the system were largely grounded in the clinical context of the units. The study suggests that not merely the CPOE system, the technology itself, influences the perceptions of its users and workflow-related outcomes. The interplay between technology and clinical context of the implementation environment also matters. System design and redesigning efforts should take account of different units’ specific requirements in their particular clinical contexts.


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