Development and implementation of a clinical decision support-based initiative to drive intravenous fluid prescribing

Michelle C. Spiegel*, Annie N. Simpson, Achsah Philip, Carolyn M. Bell, Nandita R. Nadig, Dee W. Ford, Andrew J. Goodwin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Studies suggest superior outcomes with use of intravenous (IV) balanced fluids compared to normal saline (NS). However, significant fluid prescribing variability persists, highlighting the knowledge-to-practice gap. We sought to identify contributors to prescribing variation and utilize a clinical decision support system (CDSS) to increase institutional balanced fluid prescribing. Materials and methods: This single-center informatics-enabled quality improvement initiative for patients hospitalized or treated in the emergency department included stepwise interventions of 1) identification of design factors within the computerized provider order entry (CPOE) of our electronic health record (EHR) that contribute to preferential NS ordering, 2) clinician education, 3) fluid stocking modifications, 4) re-design and implementation of a CDSS-integrated IV fluid ordering panel, and 5) comparison of fluid prescribing before and after the intervention. EHR-derived prescribing data was analyzed via single interrupted time series. Results: Pre-intervention (3/2019–9/2019), balanced fluids comprised 33% of isotonic fluid orders, with gradual uptake (1.4%/month) of balanced fluid prescribing. Clinician education (10/2019–2/2020) yielded a modest (4.4%/month, 95% CI 1.6–7.2, p = 0.01) proportional increase in balanced fluid prescribing, while CPOE redesign (3/2020) yielded an immediate (20.7%, 95% CI 17.7–23.6, p < 0.0001) and sustained increase (72% of fluid orders in 12/2020). The intervention proved most effective among those with lower baseline balanced fluids utilization, including emergency medicine (57% increase, 95% CI 0.7–1.8, p < 0.0001) and internal medicine/subspecialties (18% increase, 95% CI 14.4–21.3, p < 0.0001) clinicians and substantially reduced institutional prescribing variation. Conclusion: Integration of CDSS into an EHR yielded a robust and sustained increase in balanced fluid prescribing. This impact far exceeded that of clinician education highlighting the importance of CDSS.

Original languageEnglish (US)
Article number104619
JournalInternational Journal of Medical Informatics
Volume156
DOIs
StatePublished - Dec 2021
Externally publishedYes

Keywords

  • Decision support systems, clinical
  • Implementation science
  • Medical informatics
  • Quality improvement

ASJC Scopus subject areas

  • Health Informatics

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