Optimizing Decision Support Alerts to Reduce Telemetry Duration: A Multicenter Evaluation.

BACKGROUND

Telemetry monitoring is crucial for high-risk patients but excessive use beyond practice standards increases costs. Prior studies have shown that electronic health record (EHR) alerts reduce low-value telemetry monitoring. However, specific components of these alerts that contribute to effectiveness are unknown.

OBJECTIVES

We aimed to revise previously implemented EHR Best Practice Advisories (BPAs) to optimize their effectiveness in reducing telemetry duration. The secondary objective was to assess the impact on clinicians' alert burden.

METHODS

A multicenter retrospective study was conducted at Johns Hopkins Hospital (JHH), Johns Hopkins Bayview Medical Center (JHBMC), and Howard County General Hospital (HCGH). An EHR alert in the form of a BPA was previously implemented at JHH/JHBMC, firing at 24, 48, or 72 hours based on order indication. HCGH used an alert firing every 24 hours. A revised BPA was implemented at all hospitals optimizing the prior JHH/JHBMC alert by including patient-specific telemetry indications, restricting alerts to daytime hours (8:00 a.m.-6:00 p.m.), and embedding the discontinuation order within the BPA alert. A retrospective analysis from October 2018 to December 2021 was performed. The primary outcome was telemetry duration. The secondary outcome was the mean monthly BPA alerts per patient-day.

RESULTS

Compared with the original BPA, the revised BPA reduced telemetry duration by a mean of 6.7 hours (95% CI: 5.2-9.1 hours,  < 0.001) at JHH/JHBMC, with a minimal increase of 0.06 mean monthly BPA alerts per patient-day ( < 0.001). The BPA acceptance rate increased from 7.8 to 31.3% postintervention at JHH/JHBMC ( < 0.0001). At HCGH, the intervention led to a mean monthly reduction of 20.2 hours in telemetry duration per hospitalization (95% CI: 19.1-22.8 hours,  < 0.0001).

CONCLUSION

Optimizing EHR BPAs reduces unnecessary telemetry duration without substantially increasing clinician alert burden. This study highlights the importance of tailoring EHR alerts to enhance effectiveness and promote value-based care.