BackgroundHigh override rates for drug-drug interaction (DDI) alerts in electronic health records (EHRs) result in the potentially dangerous consequence of providers ignoring clinically significant alerts. Lack of uniformity of criteria for determining the severity or validity of these interactions often results in discrepancies in how these are evaluated. The purpose of this study was to identify a set of criteria for assessing DDIs that should be used for the generation of clinical decision support (CDS) alerts in EHRs.MethodsWe conducted a 20-year systematic literature review of MEDLINE and EMBASE to identify characteristics of high-priority DDIs. These criteria were validated by an expert panel consisting of medication knowledge base vendors, EHR vendors, in-house knowledge base developers from academic medical centers, and both federal and private agencies involved in the regulation of medication use.ResultsForty-four articles met the inclusion criteria for assessing characteristics of high-priority DDIs. The panel considered five criteria to be most important when assessing an interaction- Severity, Probability, Clinical Implications of the interaction, Patient characteristics, and the Evidence supporting the interaction. In addition, the panel identified barriers and considerations for being able to utilize these criteria in medication knowledge bases used by EHRs.ConclusionsA multi-dimensional approach is needed to understanding the importance of an interaction for inclusion in medication knowledge bases for the purpose of CDS alerting. The criteria identified in this study can serve as a first step towards a uniform approach in assessing which interactions are critical and warrant interruption of a provider’s workflow.

Background Antimicrobial stewardship interventions utilizing real-time alerting through the electronic medical record enable timely implementation of the bundle of care (BOC) for patients with severe infections, such as candidemia. Automated alerting for candidemia using the Epic stewardship module has been in place since July 2015 at our medical center. We sought to assess the impact of these alerts. Methods All adult inpatients with candidemia between April 1, 2011, and March 31, 2012 (pre-intervention), and June 30, 2016, and July 1, 2017 (post-intervention), were evaluated for BOC adherence. We also evaluated the impact on timeliness to initiate targeted therapy, length of stay (LOS), and 30-day mortality. Results Eighty-four patients were included, 42 in the pre- and 42 in the post-intervention group. Adherence to BOC was significantly improved, from 48% (pre-intervention) to 83% (post-intervention; P = .001). The median time to initiation of therapy was 4.8 hours vs 3.3 hours (P = .58), the median LOS was 24 and 18 days (P = .28), and 30-day mortality was 19% and 26% (P = .60) in the pre- and post-intervention groups, respectively. Conclusions Antimicrobial stewardship program review of automated alerts identifying patients with candidemia resulted in significantly improved BOC adherence and was associated with a 1.5-hour reduction in time to initiation of antifungal therapy. No significant change was observed with 30-day mortality or LOS.

Pain is both common and undertreated in the hematology/oncology population despite national guidelines and a focus from The Joint Commission. Herein, we describe the features of a pain clinical decision support tool (PCDST) embedded into the electronic medical record (EMR) and report its impact on oncology inpatients at risk for uncontrolled pain. The PCDST was developed to identify patients with potentially uncontrolled pain, defined as a pain score ≥4. Clinical pharmacists were encouraged to use the tool to determine whether interventions were needed to better control pain. Pain and safety outcomes between 2 cohorts of opioid-tolerant adult inpatients presenting with severe pain were compared prior to and following the implementation of the PCDST. The primary endpoint, attainment of analgesia at 24 hours from admission, was met in 10 of 30 (33.3%) patients in the preimplementation group and in 14 of 32 (43.8%) of patients in the postimplementation group ( = .78). Secondary endpoints including time to analgesia, mean pain score, frequency of pharmacy intervention, and National Comprehensive Cancer Network (NCCN) guideline-adherent pain regimens were not found to be statistically significantly different between the 2 groups. The number of mean nursing pain assessments in the first 24 hours from admission was found to be significantly higher in the postimplementation group compared with the preimplementation group (12 vs 7.4, < .001). Safety events were rare and not statistically different between groups. Overall, a modest, but statistically nonsignificant, improvement in pain outcomes was associated with patients admitted after the implementation of a pharmacist-managed electronic pain scoring tool.

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We evaluated the impact of the Epic antimicrobial stewardship module (EAM) on the number of interventions, antimicrobial usage, and clinical outcomes. Use of the EAM allowed us to significantly increase the number of ASP antimicrobial reviews and interventions while maintaining a sustained impact on antimicrobial utilization.