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Identifying Key Metrics and Analyzing Data on Performance Gaps Enhance MLR Review Processes

Data-driven analysis of key performance metrics can uncover hidden inefficiencies in MLR (medical, legal, and regulatory) review workflows for life sciences companies. By identifying and closing performance gaps, organizations can convert their compliance review processes from bottlenecks into competitive advantages. EY's approach emphasizes systematic measurement and continuous improvement within promotional material review.

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By Annalise Ludtke · · Jessy HorrellMlr ReviewPromotional Material Review ProcessPromotional Review Data
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Identifying Key Metrics and Analyzing Data on Performance Gaps Enhance MLR Review Processes

Key takeaways

01

Tracking the right KPIs in MLR review processes reveals workflow inefficiencies that are otherwise invisible to compliance teams.

02

Analyzing performance gaps enables life sciences companies to streamline promotional material approvals and reduce cycle times.

03

A data-driven MLR review strategy can reframe compliance from a cost center into a source of competitive differentiation.

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Leveraging data to refine and enhance the promotional material review (MLR) process has become crucial in the ever-evolving landscape of life sciences. Organizations striving for efficiency and compliance need to understand how best to utilize available data to impact their workflow and overall success significantly.

Organizations striving for efficiency and compliance need to understand how best to utilize available data to impact their workflow and overall success significantly.

How can organizations use data to improve their MLR review processes? What specific metrics and insights should they focus on?

This episode of “Amend & Progress,” Vodori’s go-to podcast for all things promotional material features Jessy Horrell, VP of Customer Success at Vodori. She joins the host of the show, Annalise Ludtke to discuss the real-time analysis of promotional review data, uncovering insights and exploring how organizations can utilize this data to drive process improvements.

Key Points of Discussion

  • High-Level Metrics: Analyzing key performance indicators (KPIs) such as average job duration, feedback incorporation time, and review duration compared to industry benchmarks.
  • Workload Distribution: Understanding the distribution of tasks among reviewers and identifying potential bottlenecks or resource imbalances.
  • Performance Gaps: Identifying bottom performers and discussing strategies for supporting and improving their performance.

Jessy Horrell serves as the VP of Customer Success at Vodori, where she oversees customer onboarding and ongoing success with Vodori’s products. With a data-driven approach, Jessy helps clients understand and utilize their data to make informed decisions and enhance their MLR processes. Jessy holds a degree in Business Administration and has received numerous accolades for her contributions to customer success in the life sciences industry.

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About the author

AL
Annalise Ludtke
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About the Expert

AL
Annalise Ludtke

Manager, Life Sciences Regulatory & Compliance at EY

Annalise Ludtke is a manager at EY specializing in life sciences regulatory and compliance. She focuses on optimizing medical, legal, and regulatory (MLR) review processes through data-driven methodologies. Her work helps pharmaceutical and biotech organizations transform compliance workflows into operational advantages.

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