{"id":36706,"date":"2025-07-08T04:19:09","date_gmt":"2025-07-08T04:19:09","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"exploring-the-impact-of-user-centered-clinical-decision-support-systems-on-emergency-department-practices-for-opioid-use-disorder-3066521","status":"publish","type":"post","link":"https:\/\/www.simbo.ai\/blog\/exploring-the-impact-of-user-centered-clinical-decision-support-systems-on-emergency-department-practices-for-opioid-use-disorder-3066521\/","title":{"rendered":"Exploring the Impact of User-Centered Clinical Decision Support Systems on Emergency Department Practices for Opioid Use Disorder"},"content":{"rendered":"

Clinical Decision Support systems are software tools built into electronic health records that help doctors in real time. These systems look at patient information and give reminders, alerts, or advice to help with treatment decisions. When designed well, CDS tools make work easier, reduce mistakes, and help follow medical guidelines.<\/p>\n

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For opioid use disorder, CDS can help busy emergency doctors find patients at risk, check withdrawal signs, and start treatments like buprenorphine or give naloxone to prevent overdoses. But how well these tools work depends a lot on how easy they are to use and fit into daily work.<\/p>\n

Key Research on CDS Systems for Opioid Use Disorder in Emergency Settings<\/h2>\n

The EMBED Trial: A User-Centered CDS Integrated into EHR Workflows<\/h2>\n

The EMBED project, led by Dr. Edward Melnick and his team, was a practical trial done from November 2019 to May 2021 across 18 emergency department groups in five health systems. The goal was to use a CDS system that helps start buprenorphine treatment for patients with opioid use disorder in the ED.<\/p>\n

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The system was built into electronic health records and aimed to get doctors more involved with proven treatments. Of 5,047 patients with OUD, 2,787 got care with the CDS tool, while 2,260 got usual care. Starting buprenorphine was about the same between groups (12.5% vs. 12.0%), but more doctors used the treatment in the CDS group (44.4% vs. 34.0%).<\/p>\n

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Dr. Gail D\u2019Onofrio, who worked on the trial, said that designing the system for users helped doctors use it more, even if overall treatment rates didn\u2019t change much. The study shows that CDS tools can get doctors to try new treatments, but patient-level challenges still exist.<\/p>\n

Universal Screening and Automated Clinical Decision Support Protocol<\/h2>\n

Another study by Dr. Margaret Lowenstein looked at a nurse-led screening question plus EHR prompts to check for opioid withdrawal and start treatment. This was done in three urban academic emergency departments. The approach helped find patients with opioid use disorder more reliably and guided care decisions.<\/p>\n

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The study found a 17% rise in withdrawal assessments using the Clinical Opioid Withdrawal Scale in EDs with the protocol compared to those without. Buprenorphine prescriptions when patients left the ED went up by 5%, and naloxone prescriptions rose by 12 percentage points.<\/p>\n

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This study shows how making screening and treatment normal parts of emergency care can reduce differences in care and help more patients get the right treatment on time.<\/p>\n

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Interruptive, EHR-Integrated CDS Tool in an Urban Academic ED<\/h2>\n

A third study by Jacob A. Lebin tested a CDS tool that gave interruptive alerts in the electronic health record at an urban academic ED from May 2022 to November 2023. The tool used rules to send alerts for patients possibly at risk for opioid use disorder based on usual EHR data.<\/p>\n

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The alerts showed up in 4.7% of ED visits, involving 2,566 patients and 116 emergency providers. Doctors acted on the alerts in 27% of cases, accessing treatment plans or calling social work. Buprenorphine use went up by 31%, prescribing rose by 20%, and filled prescriptions at pharmacies attached to the hospital increased by 17%.<\/p>\n

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Lebin and his team said that while interruptive alerts can cause alert fatigue, they seemed better than passive ones at getting doctors to act and improving treatment.<\/p>\n

Trends and Insights from the Research<\/h2>\n