TR;DR
This expert session explores how laboratories can identify and remove workflow bottlenecks by focusing on workflow standardization, digitization, operational analytics, and responsible use of automation. The discussion highlights why most bottlenecks are systemic rather than isolated, and how labs can improve turnaround time, efficiency, and resilience through structured operational design rather than one-off solutions.
Expert Perspectives on Modern Lab Operations
Laboratory workflow bottlenecks affect nearly every diagnostic organization, regardless of size or specialty. Manual processes, staffing constraints, regulatory requirements, fragmented technology, and limited operational visibility often combine across the lifecycle of a case, leading to extended turnaround times, increased costs, and operational risk.
In this NovoPath Expert Series session, Dr. Chris Garcia, Medical Director of Computational Pathology and Artificial Intelligence at Mayo Clinic, shares practical, real-world perspectives on how laboratories can identify and address these challenges. Drawing on experience across academic medicine, reference laboratories, and pathology informatics, the discussion focuses on approaches that scale in complex lab environments.
Executive Summary
Laboratory bottlenecks rarely originate from a single failure point. They emerge when workflows are not standardized, processes are not digitized, data is siloed, and operational decisions are made without real-time visibility. This session outlines a practical framework for addressing these challenges by first understanding where bottlenecks truly exist, then applying incremental improvements grounded in data, culture, and operational discipline.
Key themes include the importance of workflow standardization as a foundation for automation, the role of digitization in reducing manual coordination, and the use of operational analytics to identify and measure performance constraints. The discussion also emphasizes that automation and AI are most effective when treated as enabling tools rather than standalone solutions, and that sustainable improvement depends on leadership alignment, stakeholder involvement, and change management.
Topics Covered in This Session
- Common sources of laboratory workflow bottlenecks
- How manual processes and staffing shortages compound operational delays
- Why workflow standardization is required before automation
- The role of lab digitization in reducing friction and error
- Using data and reporting to gain operational visibility
- Where automation and AI add measurable value in lab operations
- Common mistakes labs make when optimizing workflows
- The role of culture and leadership in sustaining operational improvement
Additional Resources
Read the related article:
Overcoming Laboratory Workflow Bottlenecks A Practical Framework for Modern Lab Operations
Explore the full framework:
Modern Lab Operations A Practical Framework for Automation Efficiency and Security
About the Speaker
Dr. Chris Garcia is the Medical Director in the Division of Computational Pathology and Artificial Intelligence at Mayo Clinic. He has more than a decade of experience across academic medicine, reference laboratories, and pathology informatics, with a focus on integrating data-driven and computational tools into clinical laboratory operations. He is also a board member of the Digital Pathology Association.
