One aspect of any plan is whether to adopt a phased approach to the introduction of the system or to take the big bang approach for your project. In a phased approach key areas, workflows, or sites are identified for early integration to the LIMS. This allows success of the system to be demonstrated quickly and, in turn, can generate anticipation for the introduction of the system throughout the organization. The big bang approach, however, waits for the whole system to be completed before being introduced simultaneously throughout the organization. Generally, experience has shown that a phased approach often works better, especially in diverse organizations that may have multiple workflows or ways of working to support.
No matter which approach is taken it is important to have an adaptable LIMS to support the approach. By design Autoscribe’s Matrix Gemini LIMS is highly adaptable. Its built-in configuration tools allow the building of the required workflows to support the entire organization, as well as individual laboratory users in their day-to-day tasks. Changes can be made in a controlled way by a LIMS administrator using the built-in configuration tools. In this way any screens or workflow can adapt to changing needs and practices. A three-day training course is provided specifically to train users on the use of these configuration tools. In addition, as the underlying software is not affected in any way by using these tools all configuration, whether done by Autoscribe or the customer, is fully supported by Autoscribe, and the Autoscribe help desk is available to advise users configuring their own screens.
Understanding that each laboratory can have very different needs across large organizations is critical. Whilst the ‘Big Bang’ approach can be higher risk than a phased approach to LIMS implementation, the real key is the configurability of the LIMS, enabling it to adapt and evolve throughout its long life. Ensuring your LIMS can do this will pay dividends through greater user acceptance, closer fit to the changing needs of each laboratory, and higher productivity.