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The evaluation of a [[laboratory information management system]] (LIMS) based on the economics of [[laboratory]] operations can be an arduous process requiring you to chase [[information]] that may not be readily available. What you can’t lose sight of is that you are answering a basic question: Will my lab run better with a LIMS that it does without it? What you are trying to do is justify what “better” means. Both tangible and intangible benefits such as lower costs, higher productivity, better access to lab information, more streamlined operations, improved operational management, and improved long-term management help set a solid foundation for LIMS justification. A decision based strictly on the dollars and cents of LIMS acquisition may miss an understanding of key intangible benefits. | |||
For example, something as simple as reduced data errors means you have to be able to quantify the current cost of errors to your labs operations and the organization you lab is a part of. A LIMS may allow you to introduce new statistical procedures that will automatically flag questionable results and prevent out-of-spec incoming raw material from entering the production process. The introduction of a LIMS may allow you to add new capabilities that elevate lab operations and provide additional useful information into process monitoring. The end result can be seen as needing less time on administrative work, more time on data management and analysis, and more value gained from the investment in laboratory work. | |||
We close this guide with a “Justification Workbook” in the appendix. It consists of a set of spreadsheets that will help guide you through the data collection process. | |||
Revision as of 21:43, 10 July 2023
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This is sublevel11 of my sandbox, where I play with features and test MediaWiki code. If you wish to leave a comment for me, please see my discussion page instead. |
Sandbox begins below
The evaluation of a laboratory information management system (LIMS) based on the economics of laboratory operations can be an arduous process requiring you to chase information that may not be readily available. What you can’t lose sight of is that you are answering a basic question: Will my lab run better with a LIMS that it does without it? What you are trying to do is justify what “better” means. Both tangible and intangible benefits such as lower costs, higher productivity, better access to lab information, more streamlined operations, improved operational management, and improved long-term management help set a solid foundation for LIMS justification. A decision based strictly on the dollars and cents of LIMS acquisition may miss an understanding of key intangible benefits.
For example, something as simple as reduced data errors means you have to be able to quantify the current cost of errors to your labs operations and the organization you lab is a part of. A LIMS may allow you to introduce new statistical procedures that will automatically flag questionable results and prevent out-of-spec incoming raw material from entering the production process. The introduction of a LIMS may allow you to add new capabilities that elevate lab operations and provide additional useful information into process monitoring. The end result can be seen as needing less time on administrative work, more time on data management and analysis, and more value gained from the investment in laboratory work.
We close this guide with a “Justification Workbook” in the appendix. It consists of a set of spreadsheets that will help guide you through the data collection process.
