This year we will be hosting the following:
Is your lab seeking new ways to generate, manage, analyze, and deliver increasing amounts of data and results? Are you looking to a LIMS, ELN, or LES as a solution? If so, it’s time to plan for your informatics project. There are many informatics tools available but selecting the right lab automation tool leads to the best return on your investment. During the selection process, it is important to narrow down the type of system your organization can achieve the most benefit from. Once your system is selected, the detailed project organization and implementation steps come next. The implementation has critical factors that can improve your chances for long term adoption and success.
This course will provide insight on how to successfully plan and execute your laboratory-based computer system validation (CSV). You will learn how to properly plan your CSV project for a CDS, LIMS, ELN, SDMS, or LES rollout. The focus of the course will be on avoiding pitfalls, risk analysis, and properly resourcing the project. In addition, we will demonstrate how the quality of validation script writing can make a positive impact on your project. Learn recommended best practices on data integrity and how it affects the deployed solution and documentation.
Take home knowledge on how to develop a CSV approach that will help your company plan, execute, and approve a CSV project for a lab informatics system.
Manufacturers use lean techniques to improve quality, productivity, and cycle time. QC labs can apply the same methods to realize similar benefits, especially if lab informatics tools like LIMS or ELN are used. Leaning a lab in concert with such systems improves performance, minimizes paper, facilitates compliance, and reduces operating costs with less expense than purchasing new tools. This course explains proven lean lab principles and covers how to identify, prioritize, and realize lean opportunities. The course covers practices and methodologies for planning as well as managing and executing a lean project using lab informatics tools.
ALCOA (Attributable, Legible, Contemporaneous, Original, Accurate) principles are commonly looked at by regulatory bodies to assess the reliability of laboratory data. Data Integrity citations have increased significantly in recent years prompting the FDA’s release of the Data Integrity Guidance. Organizations apply the ALCOA and ALCOA plus principles to their laboratory computer systems in order to best prepare for audits and reduce risk. This presentation will look into key areas of focus when dealing with computer systems data integrity, where you may run into pitfalls, and provide guidance on how to improve your data integrity so that you may increase the reliability and quality of your data.
This conferee networking session will bring together both science and business professionals alike to discuss experiences with attracting attention to their work using digital marketing. You will learn tips for effectively leveraging social media as well as other modern tactics to reach the scientific community and beyond. You will leave this session with action items you can apply immediately to ensure your research, scientific work, or products/services are seen by the right people.
March 1, 2020
March 5, 2020
2301 S King Dr.
Chicago, IL 60616