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Tracking and controlling everything that affects quality is the key to a quality management system
Carl Hull1, Bruce Wray, Ford Winslow
1UNIConnect, 11075 South State #3, Sandy, UT 84070, USA. carl.hull@uniconnect.com
Implementing a Laboratory Information Management System (LIMS) requires careful consideration of unique laboratory needs for tracking and controlling processes. This approach ensures quality results by monitoring all variables, from intermediate products to final outputs.
Area of Science:
- Laboratory Management
- Quality Control Systems
- Information Management
Background:
- Laboratories require robust systems to track and control variables influencing result quality.
- Each laboratory's processes are unique, necessitating tailored tracking and control strategies.
- Beyond final products, intermediate components and resources are critical for overall quality.
Purpose of the Study:
- To present ideas and opinions on implementing a LIMS process tracking and control system.
- To differentiate between tracking and controlling laboratory processes.
- To guide decisions on what elements to track and control within a laboratory setting.
Main Methods:
- Discussion of key LIMS implementation topics: process differentiation, critical parameters, laboratory 'product' definition.
- Exploration of mistake prevention strategies and comprehensive software platform options.
- Assessment of barcode utilization and the Risk-Based Approach for system design.
Main Results:
- Highlights the importance of a holistic view, encompassing all LIMS components.
- Emphasizes the value of visual systems over abstract concepts for effective implementation.
- Suggests the Risk-Based Approach as a framework for prioritizing LIMS tracking elements.
Conclusions:
- A well-implemented LIMS is essential for laboratory quality and efficiency.
- Tailoring LIMS to specific laboratory needs, including intermediate products, is crucial.
- Strategic use of tools like barcodes and a Risk-Based Approach enhances LIMS effectiveness.
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