Standardized hospital order sets in acute care a review of clinical evidence, cost-effectiveness, and guidelines

In the acute setting, physicians or other providers frequently hand write orders for treatment. These handwritten orders can be ineligible or inappropriate (leading to medication errors), or can create variability in patient care between physicians and patients that is not explained by the patients&...

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Bibliographic Details
Main Authors: Wells, Charlotte, Loshak, Hannah (Author)
Corporate Author: Canadian Agency for Drugs and Technologies in Health Rapid Response Service
Format: eBook
Language:English
Published: Ottawa (ON) Canadian Agency for Drugs and Technologies in Health July 25, 2019, 2019
Edition:Version: 1
Series:CADTH rapid response report: summary with critical appraisal
Subjects:
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Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
Description
Summary:In the acute setting, physicians or other providers frequently hand write orders for treatment. These handwritten orders can be ineligible or inappropriate (leading to medication errors), or can create variability in patient care between physicians and patients that is not explained by the patients' condition. Standardized order sets (SOSs) are clinical decision support tools that aim to help physicians prescribe appropriate treatments using a pre-defined set of applicable drugs and recommended dosages, based off evidence-based guidelines for a specific disease area. SOSs, whether they are inputted electronically (such as through a computerized provider order entry [CPOE] system) or through paper orders, have the potential to reduce medication errors, reduce unnecessary clarification calls between physicians and pharmacists, increase the use of evidence based care, and increase efficient workflow. Additionally, the creation and use of order sets can provide an opportunity to educate physicians on best practices, or to provide reminders on appropriate prescribing and treatment. It is recommended that order sets are complete for the condition they are intended for, reflect the best practice for the disease area, stay up to date on best practices, and are standardized across practitioners
Physical Description:1 PDF file (42 pages)