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Currently accepted at: Journal of Medical Internet Research

Date Submitted: Mar 29, 2026
Open Peer Review Period: Mar 30, 2026 - May 25, 2026
Date Accepted: Oct 6, 2026
(closed for review but you can still tweet)

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/96538

The final accepted version (not copyedited yet) is in this tab.

Electronic medical record-integrated opioid-related drug-drug interaction alerts and associated harm to hospitalized patients: a retrospective multicenter cohort study

  • Sophie A Young; 
  • Melissa T Baysari; 
  • Jacques Raubenheimer; 
  • Renee Quirk; 
  • Bethany A Van Dort; 
  • Maria Moran; 
  • Danielle Deidun; 
  • Katelyn Jauregui; 
  • Shania Liu; 
  • Asad E Patanwala; 
  • Jonathan Penm

ABSTRACT

Background:

Opioid-related drug–drug interactions (DDIs) are common in hospitalized patients and can lead to serious harm, especially when opioids are combined with central nervous system depressants. Although electronic medical records (EMRs) commonly generate DDI alerts, existing evidence largely evaluates broad alert systems and does not clearly establish their effectiveness for opioid-specific, clinically relevant interactions or patient harm.

Objective:

This study aimed to address this gap by determining whether introducing these alerts reduces the prevalence of potentially and clinically relevant opioid-related DDIs, as well as the rate of DDI-related patient harm in hospitalized patients.

Methods:

This retrospective cohort study was a secondary analysis of a multicenter quasi-experimental controlled pre–post evaluation of EMR implementation across five Australian hospitals. Adult inpatients were randomly selected from all patients who stayed in study hospitals for a one-week period six months before and six months after EMR implementation. Inpatients were included if they had at least one prescribed and administered opioid and one concurrent medication. Interruptive opioid DDI alerts were active only at intervention sites post-EMR. Potential DDIs were identified using Stockley’s Interaction Checker; pharmacists adjudicated clinically relevant DDIs, and clinical pharmacologists assessed DDI-related harm and causality. Clustered logistic regression with generalized estimating equations, adjusting for demographic and clinical variables, estimated the effect of alerts involving opioids on three outcomes: clinically relevant opioid DDIs (primary), any potential opioid DDI, and opioid DDI-related harm.

Results:

Of 1,144 patients prescribed an opioid, 847 (74.0%) had at least one potential opioid DDI and 548 (47.9%) had at least one clinically relevant DDI. EMR alerts were associated with no significant change in clinically relevant DDIs (adjusted odds ratio 1.06, 95% CI 0.72–1.55; p=0.75). There was a significant reduction in potential opioid DDIs (adjusted odds ratio 0.55, 95% CI 0.41–0.74; p<0.001). Of all patients, there were 11 patients with a total of 38 DDIs experienced harm (0.6% of potential and 1.1% of clinically relevant DDIs), with most DDIs involving pharmacodynamic interactions with concomitant CNS depressants.

Conclusions:

EMR opioid DDI alerts reduced overall exposure to potential DDIs but did not decrease clinically relevant interactions or related harm. The low rate of harmful events highlights the limited clinical value of current alert systems and the burden of low-value warnings.


 Citation

Please cite as:

Young SA, Baysari MT, Raubenheimer J, Quirk R, Van Dort BA, Moran M, Deidun D, Jauregui K, Liu S, Patanwala AE, Penm J

Electronic medical record-integrated opioid-related drug-drug interaction alerts and associated harm to hospitalized patients: a retrospective multicenter cohort study

Journal of Medical Internet Research. 06/10/2026:96538 (forthcoming/in press)

DOI: 10.2196/96538

URL: https://preprints.jmir.org/preprint/96538

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