scholarly journals A Pragmatic Approach to Implementing Best Practices for Clinical Decision Support Systems in Computerized Provider Order Entry Systems

2007 ◽  
Vol 14 (1) ◽  
pp. 25-28 ◽  
Author(s):  
P. A. Gross ◽  
D. W. Bates
Keyword(s):  
Decision Support ◽  
Best Practices ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Pragmatic Approach ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Order Entry Systems

scholarly journals Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020

2021 ◽  
Vol 30 (01) ◽  
pp. 172-175
Author(s):  
Damian Borbolla ◽  
Grégoire Ficheur ◽  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
The United States ◽  
Order Entry ◽  
Public Health Response ◽  
Computerized Provider Order Entry

Summary Objectives: To summarize research contributions published in 2020 in the field of clinical decision support systems (CDSS) and computerized provider order entry (CPOE), and select the best papers for the Decision Support section of the International Medical Informatics Association (IMIA) Yearbook 2021. Methods: Two bibliographic databases were searched for papers referring to clinical decision support systems. From search results, section editors established a list of candidate best papers, which were then peer-reviewed by seven external reviewers. The IMIA Yearbook editorial committee finally selected the best papers on the basis of all reviews including the section editors’ evaluation. Results: A total of 1,919 articles were retrieved. 15 best paper candidates were selected, the reviews of which resulted in the selection of two best papers. One paper reports on the use of electronic health records to support a public health response to the COVID-19 pandemic in the United States. The second paper proposes a combination of CDSS and telemedicine as a technology-based intervention to improve the outcomes of depression as part of a cluster trial. Conclusions: As shown by the number and the variety of works related to clinical decision support, research in the field is very active. This year's selection highlighted the application of CDSS to fight COVID-19 and a combined technology-based strategy to improve the treatment of depression.

scholarly journals Evidence-Based Clinical Decision Support

2013 ◽  
Vol 22 (01) ◽  
pp. 120-127
Author(s):  
A. Wright ◽  
R. N. Shiffman
Keyword(s):  
Decision Support ◽  
Best Practices ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Quality Of Healthcare ◽  
Evidence Based ◽  
Full Potential

Summary Background: Clinical decision support (CDS) is a key tool for enabling evidence-based medicine and improving the quality of healthcare. However, effective CDS faces a variety of challenges, including those relating to knowledge synthesis, capture, transformation, localization and maintenance. If not properly addressed, these challenges can limit the effectiveness of CDS, and potentially risk inaccurate or inappropriate interventions to clinicians. Objectives: (1) To describe an approach to CDS development using evidence as a basis for clinical decision support systems that promote effective care; (2) To review recent evidence regarding the effectiveness of selected clinical decision support systems. Method: Review and analysis of recent literature with identification of trends and best practices. Results: The state-of-the-art in CDS has advanced significantly, and many recent trials have shown CDS to be effective, although the results are mixed overall. Issues related to knowledge capture and synthesis, problems in knowledge transformation at the interface between knowledge authors and CDS developers, and problems specific to local CDS design and implementation can interfere with CDS development. Best practices, tools and techniques to manage them are described. Conclusions: CDS, when used well, can be effective, but further research is needed for it to reach its full potential.

scholarly journals Medication-related Clinical Decision Support in Computerized Provider Order Entry Systems: A Review

2007 ◽  
Vol 14 (1) ◽  
pp. 29-40 ◽  
Author(s):  
G. J. Kuperman ◽  
A. Bobb ◽  
T. H. Payne ◽  
A. J. Avery ◽  
T. K. Gandhi ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Order Entry Systems
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