March 14, 2018
Laboratory Informatics Weekly Update

Volume 16, Issue 11


In This Issue

 Upcoming Webinars

03/15/2018 - Astrix Webinar – Navigating Global Regulations and Guidance around Data Integrity

03/21/2018 - Webinar: When Systems Collide: Do I need a LIMS, LES, or ELN?

 Journal Articles

Generating big data sets from knowledge-based decision support systems to pursue value-based healthcare

With the push for evidence-based medicine and advances in health information management over the past 30 years, the process of clinical decision making has changed significantly. However, new challenges have emerged regarding how to put the disparate data found in information management technologies such as electronic health records and clinical research databases to better use while at the same time honoring regulations and industry standards. González-Ferrer et al. discuss these problems and how they've put solutions in place in this 2018 paper in the International Journal of Interactive Multimedia and Artificial Intelligence. They conclude that despite the benefits of clinical decision support systems and other electronic data systems, "the development and maintenance of repositories of dissociated and normalized relevant clinical data from the daily clinical practice, the contributions of the patients themselves, and the fusion with open-access data of the social environment" will all still be required to optimize their benefits.

Characterizing and managing missing structured data in electronic health records: Data analysis

The electronic health record (EHR) was originally built with improved patient outcomes and data portability in mind, not necessarily as a resource for clinical researchers. Beaulieu-Jones et al. point out that as a result, researchers examining EHR data often forget to take into account how missing data in the EHR records can lead to biased results. This "missingness" as they call it poses a challenge that must be corrected for. In this 2018 paper, the researchers describe a variety of correctional techniques applied to data from the Geisinger Health System's EHR, offering recommendations based on data types. They conclude that while techniques such as multiple imputation can provide "confidence intervals for the results of downstream analyses," care must be taken to assess uncertainty in any correctional technique.
 Featured Books

Wikibook of Health Informatics

 Featured Discussions

03/06/2018 - Measurement traceability (6.5.2 C)

03/04/2018 - Uncertainty of Measurement for Sampling

03/03/2018 - Cyber Security Literacy

03/02/2018 - Passwords are on the Way Out

02/28/2018 - Another Medical Device Recall - with very scary implications - do you see the Pattern?


A Core Lab Means Business: Best Practices for the Bottom Line

The Astrix Approach: Practical Enterprise Architecture for the Laboratory


03/14/2018 - Seacoast Laboratory Data Systems Announces Expanded Toxicology Module for SurroundLab Plus

03/14/2018 - PierianDx Launches Clinical Genomics Services to Accelerate Precision Medicine

03/14/2018 - IDT supports genomics research with enhanced website

03/14/2018 - Free Software Can Help Spot New Forms of Fentanyl and Other Illegal Drugs

 Upcoming Trade Events

03/20/2018 - Paperless Lab Academy 2018

Once again, we´re setting the stage for discussions on strategies and implementation of 21th century technologies in the laboratory. We´ll discuss about the key milestones to generate solid business insights from the laboratory. Connect with colleagues who share similar operational issues as you have. Learn about user´s case studies and how they are deployed into their processes. Discover the informatics trends from cutting-edge thought leaders. Be in the know about the last informatics tools and methodologies in a creative and productive atmosphere.

04/02/2018 - MEDLAB Asia Pacific 2018

04/17/2018 - Connecting Healthcare IT 2018

04/17/2018 - INTERPHEX 2018

05/15/2018 - Bio-IT World Conference and Expo 2018

05/15/2018 - UK e-Health Week 2018

05/27/2018 - HIMSS Europe 2018

 Bid Opportunities

03/16/2018 - Request for Information: LIMS Replacement

03/21/2018 - Request for Proposal: Toxicology Laboratory Services

Become a Sponsor
CSols Inc.
Thermo Fisher Scientific
Autoscribe / Autoscribe Informatics, Inc.
LabLynx, Inc.
Abbott Informatics Corporation
Blaze Systems Corporation
ApolloLims / Common Cents Systems, Inc.
Computing Solutions, Inc.
Astrix Technology Group
Psyche Systems

E-mail your feedback or questions to us at:

Mail us: LabLynx, Inc. P.O. Box 673966 Marietta, GA 30006

Telephone: 770-859-1992