Using Clinical Decision Support Systems to Decrease Intravenous Acetaminophen Use: Implementation and Lessons Learned

Abstract

Background: Clinical decision support systems (CDSS) can enhance medical decision-making by providing targeted information to providers. While they have the potential to improve quality of care and reduce costs, they are not universally effective and can lead to unintended harm. Objective: To describe the implementation of an unsuccessful interruptive CDSS that aimed to promote appropriate use of intravenous (IV) acetaminophen at an academic pediatric hospital, with an emphasis on lessons learned. Methods: Quality improvement methodology was used to study the effect of an interruptive CDSS, which set a mandatory expiry time of 24-hours for all IV acetaminophen orders. This CDSS was implemented on April 5, 2021. The primary outcome measure was number of IV acetaminophen administrations per 1,000 patient days, measured pre- and post-implementation. Process measures were the number of IV acetaminophen orders placed per 1,000 patient days. Balancing measures were collected via survey data and included provider and nursing acceptability and unintended consequences of the CDSS. Results: There was no special cause variation in hospital wide IV acetaminophen administrations and orders after CDSS implementation, nor when the CDSS was removed. A total of 88 participants completed the survey. Nearly half (40/88) of respondents reported negative issues with the CDSS, with the majority stating that this affected patient care (39/40). Respondents cited delays in patient care and reduced efficiency as the most common negative effects. Conclusion: This study underscores the significance of monitoring CDSS implementations and including end-user acceptability as an outcome measure. Teams should be prepared to modify or remove CDSS that do not achieve their intended goal or are associated with low end-user acceptability. CDSS holds promise for improving clinical practice, but careful implementation and ongoing evaluation are crucial for maximizing their benefits and minimizing potential harm.

Interprofessional Evaluation of a Medication Clinical Decision Support System Prior to Implementation

“… 10 24 25 Many studies, which dealt with customizing a medication CDSS so far, used quantitative outcomes from the postimplementation phase (e.g., overridden rates). 26 27 28 29 To date, little has been published on the methodological approach for a preimplementation evaluation of a medication CDSS. 30 …”