Laboratory Informatics Weekly Update – Volume 17, Issue 2
January 9, 2019 Laboratory Informatics Weekly Update Volume 17, Issue 2 In This Issue Upcoming Webinars 01/14/2019 - Free LABTrack Webinar – Justifying an ELN01/23/2019 - Setting your LIMS Project up for success!01/30/2019 - Webinar: Good Lab Practices Journal Articles Codesign of the Population Health Information Management System to measure reach and practice change of childhood obesity programsAttempting to implement a regional public health initiative affecting thousands of children is daunting enough, but collecting, analyzing, and reporting critical data that shows efficacy can be even more challenging. This 2018 article published in Public Health Research & Practice demonstrates one…Codesign of the Population Health Information Management System to measure reach and practice change of childhood obesity programs
Attempting to implement a regional public health initiative affecting thousands of children is daunting enough, but collecting, analyzing, and reporting critical data that shows efficacy can be even more challenging. This 2018 article published in Public Health Research & Practice demonstrates one approach to such an endeavor in New South Wales Australia. Green et al. discuss the design and implementation of their Population Health Information Management System (PHIMS) to integrate and act upon data associated with not one but two related public health programs targeting the prevention of childhood obesity. The article also discusses some of the challenges with the project, from funding and training all 15 New South Wales local health districts to ensuring support across all the districts for consistent operation and security despite differing IT infrastructures. They conclude that despite the challenges, their award-winning PHIMS solution has been vital to the two programs' success.
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Laboratory Informatics Weekly Update – Volume 17, Issue 1
January 3, 2019 Laboratory Informatics Weekly Update Volume 17, Issue 1 In This Issue Upcoming Webinars 01/15/2019 - Webinar: Hemostasis lab quality best practices; focus on validation of assays and instrumentation in a multisite hospital system01/23/2019 - Setting your LIMS Project up for success! Journal Articles Welcome to Jupyter: Improving collaboration and reproduction in psychological research by using a notebook systemJupyter Notebook, an open-source interactive web application for the data science and scientific computing community (and with some of the features of an electronic laboratory notebook), has been publicly available since 2015, helping scientists make computational records of their…FDA’s Guidance on Genetic Testing: What You Need to Know
In traditional medical care, diseases are typically detected via chemical changes associated with a particular condition and all patients receive a similar dose of a medication as treatment. While this one-size-fits-all approach has led to great advancements in medicine, it has by no means been successful for all patients.
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Top Data Management Challenges in Genomics Research
With the successful completion of the Human Genome Project on April 14, 2003, the mapping of the human genome took approximately 13 years and 3 billion dollars to accomplish. Today, next-generation sequencing (NGS) technology allows a human genome to be sequenced in just a few days for a few hundred dollars.
While genomic research is paving the way for significant advances in healthcare, its practice has led to new challenges for biotechnology firms in terms of increasing data volume, variety and complexity.Given that the data representing a single human genome takes up to 100 gigabytes of storage space, biotech companies engaged in genomic research must develop the computing infrastructure and skills to manage, store, analyze and interpret massive quantities of highly complex data. In this blog, we will explore challenges and best practices involved in addressing data management challenges in genomics research.
