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LAB DATA MANAGEMENT

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Documented Processes Improve Data Management

AlliedSignal Environmental Catalyst Relies on LIMS

New Book Available


Documented Processes Improve Data Management


Does it seem like you're always playing catch-up? Once you finish one project, are you always late to start the next? If you're caught in the catch-up cycle, maybe it's time to stop and think about the process. Specifically, how can you change the picture?

There's no black and white answer of course, but there are answers. How well lab data is managed is a function of not just how the data is accessed, but also how the data access process is performed. There's no separating process from results any more. This is one of the reasons why documentation systems such as ISO 9000 are being implemented in the lab. Such process-oriented analysis through documentation -- and the resulting improvements via process controls -- help streamline and automate work functions.

The key to eliminating catch-up involves uncovering process bottlenecks, then supplying the tools and technology necessary to streamline or re-engineer the process. Knowing what those tools and technology should be often requires documenting processes to target what needs to be changed.

For instance, when labs document processes, they may find that work can be performed, say, 30% faster if they were able to take advantage of the latest full-featured software. If their current LIMS can't utilize this leading edge software, the door to increased productivity is shut until the LIMS is upgraded. Measuring the costs associated with change can confirm the return on investment achieved with the upgrade, making it easier to justify future modifications.

Or, labs who take several steps to perform an analysis might discover that only a few are really necessary. Data collected on the other steps is extraneous, merely adding to the volume of lab data without adding to its value. Such information is only apparent when a process is documented to determine what steps are actually occurring and then analyzing the steps to determine if they add value or are just being done because they've always been done.

Documenting processes doesn't have the desired effect, however, when measures aren't put in place to segment where improvements can be made. Without measurements, there's no knowing which are the right areas to improve, there are only assumptions. Labs who thought that a more sophisticated reporting software would be the answer to their prayers, might find that in reality more query capability was needed.

Any documented process improvement system that measures processes can improve lab data management. Because there are so many different parts to the process of managing lab data, and each part of the process has the potential to conflict with another, documenting the processes is key to segmenting and eliminating bottlenecks and roadblocks. If you know how your processes operate, you know where to add value, and you know how to get the most out of your laboratory data.


AlliedSignal Environmental Catalyst Relies on LIMS

The quality control laboratory at AlliedSignal Environmental Catalysts, a worldwide manufacturer of automotive catalysts, analyzes all the in-process samples, materials, and coating solutions used to manufacture catalytic converters. That can mean up to 4,000 samples each month, and up to 50 assays per sample, using several types of analytical instrumentation.

According to the company spokesman Dave Holdeman, AlliedSignal uses Varian's PC-based StarLIMS to manage all of the data collection using a network that is connected directly into the process area, chemical prep area, plant operations office, and pilot plant facility. "A direct link between the lab and the marketing and R&D areas provides these departments with instant information about the status of orders, helping them to improve customer service," he states.

Every day, up to 45 people use the LIMS to either enter or retrieve information, with as many as 20 to 25 people on-line at any given time. At any point, a user can log in a sample or determine the status of a previously submitted sample.

Based on the success of their LIMS in the U.S., "we recently installed a Spanish language version in AlliedSignal's San Luis Potosi, Mexico plant, and will soon be installing it in our Florange, France operation," Holdeman adds.


New Book Available

A new book entitled "LabVIEW Graphical Programming: Practical Applications in Instrumentation and Control" is now available. Written by Gary W. Johnson, an instrumentation engineer at Lawrence Livermore National Laboratory, the book helps users learn how to use National Instruments' LabVIEW product with desktop computers to develop automated instrumentation systems for engineering and scientific applications. A programming tutorial as well as a system development guide, it includes detailed examples and advice for creating applications in physics, automated test, and process monitoring and control. The book also includes a floppy disk with example programs. For more information, contact McGraw-Hill Professional Book Group at 1-800-2-MCGRAW.


The above column on Lab Data Management was written by Helen Gillespie, Web Master for the LIMSource, and reprinted from Scientific Computing & Automation, October 1994

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