Autoscribe Publishes White Paper on Risk Management For LIMS Projects
News Dec 28, 2012
Autoscribe, developer of the Matrix Gemini Laboratory Information Management System (LIMS), has published a white paper which looks at the common factors that contribute to risk in LIMS projects. Available for download from www.autoscribe.co.uk/about/press-releases/2012/146-risk-management, the white paper includes examples of projects that have run into difficulties due to inadequate risk management.
Autoscribe’s founder and CEO, John Boother, explains: “There are far too many LIMS projects that have collapsed or failed to deliver the expected benefits. Frequently projects end up significantly over budget with additional non-budgeted, on-going costs such as having IT consultants on site for many months after delivery of a system, because of inadequate planning.”
“Projects of this nature are typically characterised by a changed specification from that originally described, leading to system ‘configuration’ continuing sometimes for years after original system delivery”, he continued.. “We at Autoscribe believe that the key to a successful LIMS project is a clear understanding of the potential risks and the implementation of a structured program to mitigate these risks.”
The white paper looks at the risks associated with the various stages of a LIMS project. These include: project definition; evaluation and selection of the system; implementation and rollout and support and upgrade.
Machine learning – a field of artificial intelligence that uses statistical techniques to enable computer systems to ‘learn’ from data – can be used to analyse electronic health records and predict the risk of emergency hospital admissions, a new study from The George Institute for Global Health at the University of Oxford has found.
Adaptive Designs in Clinical Trials conference 2019
Apr 01 - Apr 02, 2019
International Conference on Cell and Structural biology
Jul 15 - Jul 16, 2019