A Rural Health System’s Leapfrog Improvement Using Smarter Medication Guidance

A Rural Health System’s Leapfrog Improvement Using Smarter Medication Guidance

Thursday, March 12, 2026 2:00 PM to 3:00 PM · 1 hr. (US/Pacific)
Level 3 | San Polo 3404
Education Sessions
Digital Health Transformation

Information

After becoming newly independent, our healthcare system faced a critical challenge: how to maintain our community’s trust in the quality and safety of our care without the infrastructure of a large healthcare system. With limited resources, we set a goal to improve our Leapfrog Hospital Safety Grade. One of our first challenges was Computerized Physician Order Entry (CPOE). We leveraged analytics and medication decision support innovation to achieve a CPOE rate of more than 95 percent and surpass the average Leapfrog CPOE testing score of 80.23. This session tells the story of how the healthcare system leveraged a data and clinical decision support optimization solution to analyze, optimize and streamline medication alerts across its electronic health record without creating alert fatigue. The result was a dramatic improvement in alert relevance and a notable decrease in prescriber overrides, coupled with high levels of clinician satisfaction and improved Leapfrog CPOE testing results. Attendees will learn replicable strategies for enhancing clinical safety and efficiency, even in settings where staffing and budgets are constrained.

Topic
Data-Driven Decision Making
Target Audience
Chief Quality Officer and Chief Clinical Transformation OfficerCIO/CTO/CTIO/Senior ITPayerPharmacy Professional
Level
Intermediate
Format
Case Study
CEU Type
ACHEACPECAHIMSCMECNECPDHTSCPHIMS
Contact Hours
1.00
Learning Objective #1
Describe how alert optimization can reduce override rates and enhance patient safety
Learning Objective #2
Examine the steps taken to integrate and govern alert management in a rural healthcare system
Learning Objective #3
Assess the impact of clinical decision support improvements on Leapfrog performance and clinician satisfaction
Session #
218

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