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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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Reducing Low-Value Delirium Care Using Behavioral Design in the Electronic Medical Record.

Robin Z Ji1, Lauren J Gleason2, Nora Spadoni1

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|April 6, 2026
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Summary
This summary is machine-generated.

Implementing an electronic medical record (EMR) decision support tool significantly reduced mechanical restraint use in delirium patients. However, medication and bowel regimen use did not improve, indicating a need for further optimization.

Keywords:
Deliriumclinical decision supporthospital medicinequality improvement

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Area of Science:

  • Clinical Informatics
  • Geriatric Medicine
  • Patient Safety

Background:

  • Delirium is a common, serious condition linked to poor patient outcomes and high costs.
  • Current delirium management often deviates from evidence-based guidelines, over-relying on pharmacological interventions.
  • Optimizing delirium care requires effective strategies to promote guideline-adherent practices.

Purpose of the Study:

  • To evaluate the impact of an electronic medical record (EMR)-embedded clinical decision support tool on delirium management.
  • To assess changes in medication use, restraint use, and provider engagement following implementation.
  • To determine the effectiveness of a novel intervention in promoting evidence-based delirium care.

Main Methods:

  • A quasi-experimental pre-post study was conducted across two hospitals.
  • An Our Practice Advisory (OPA) within the EMR alerted providers to high-risk delirium patients.
  • The intervention included an order set emphasizing non-pharmacological strategies and de-emphasizing antipsychotics and restraints.

Main Results:

  • Mechanical restraint use decreased significantly from 35.4% to 23.4% (p<0.001).
  • No significant improvement was observed in antipsychotic or bowel regimen ordering.
  • Provider engagement was high, with 76.4% reviewing the order set and 40.7% placing orders.

Conclusions:

  • EMR-embedded clinical decision support tools can effectively modify clinician behavior regarding restraint use in delirium.
  • Further refinements are necessary to improve adherence to all evidence-based guidelines and achieve better patient outcomes.
  • Targeted interventions can promote concordance with best practices for delirium management.