A data quality strategy (DQS) is useful for researchers, organizations, and others, primarily because it allows them "to establish a level of assurance, and hence confidence, for [their] user community and key stakeholders as an integral part of service provision." Evans et al. of the Australian National University, recognizing this importance, discuss the implementation of their DQS at the Australian National Computational Infrastructure (NCI), detailing their strategy and providing examples in this 2017 paper. They conclude that "[a]pplying the DQS means that scientists spend less time reformatting and wrangling the data to make it suitable for use by their applications and workflows—especially if their applications can read standardized interfaces."
In this brief opinion article published in Frontiers in Oncology, Sanders and Showalter turn their thoughts to the rapid-learning health care system (RLHCS), a concept that involves analyzing patient data to make insights in how to improve patient safety, treatment quality, and cost-effectiveness within the health care framework. In combination with comparative effectiveness research (CER) and well-managed big data streams, the RLHCS has the power "to accelerate discovery and the future of individualized radiation treatment planning," they argue. They conclude that big data can "connect a broad range of characteristics to accelerate evidence generation and inform personalized decision-making," and its application through CER and the RLHCS can "accelerate progress in cancer care."
Our previous blog on debunking LIMS and LIMS consulting myths proved to be a very popular blog. With that in mind, we have gathered here five more prevalent LIMS myths to be discussed. As before, while there may be a small kernel of truth to some of these, for the most part these statements do not hold water. So, without further ado, let’s take a look at these LIMS myths and get to the busting!
Computer system validation (CSV) is a documented process which helps to ensure that both new and existing computer systems consistently fulfill their intended purpose and produce accurate and reliable data. Most regulatory agencies around the world require validation of computer systems to ensure product safety and effectiveness. The software implementation and development team typically conducts CSV processes on the system being installed/updated to eliminate any software bugs and make sure the system meets specifications.
Please join us for the 2018 Abbott Informatics Customer Forum at the JW Marriott in Miami, Florida, October 9-12, 2018. We’ve designed the conference this year, with 2 tracks, an educational track and a technical track to offer content relevant to everyone that touches STARLIMS. From executives, managers, developers, and end-users, to those new to STARLIMS and long-term loyal customers, there will be something for everyone!
DUE: SEPTEMBER 10, 2018, 2:00 PM Tarrant County is requesting proposals for PROFESSIONAL SERVICES TO SUPPORT INTERNAL DEVELOPMENT OF A MEDICAL EXAMINERS LABORATORY INFORMATION MANAGEMENT SYSTEM (LIMS) for the MEDICAL EXAMINERS OFFFICE. RFP No. 2018-164 All documents related to this Proposal are available for download from the Bids/Requests for Proposals (RFPs) section of the Purchasing Page on the Tarrant County website.