The River Logic Blog

River Logic Partner, CGI, Announces FD CARES Innovative Analytics Project

River Logic's long-time partner in healthcare, CGI, recently released a Proof of Concept case study with the Puget Sound Regional Fire Authority for its FD CARES project, a program designed to "better meet the needs of their community members and to improve the value of fire department healthcare services." 

Advisory Board Study: How Jewish General Hospital Improved Patient Access, Costs, & Quality of Care

We have some incredibly exciting news here at River Logic! The Advisory Board has published a case study of the work that we and our close partner CGI have done at Jewish General Hospital. Below is a summary of the case study. Due to copyright laws, we ask that you please visit this link to access the full study. 

How Will The Internet of Things Impact Healthcare?

This post is the second in a series on the Internet of Things (IoT), a topic we've never really focused on in past blog posts. While the first discussed the applications of IoT in supply chain management, this one will focus specifically on its applicability to healthcare. (As many of our readers know, we’re particularly interested in advanced analytics, IoT, Big Data and similar topics as they relate to expanding the healthcare industry and helping to tackle some of the many deeply ingrained problems the industry faces.)

[Infographic] 10 Use Cases for Prescriptive Analytics in Healthcare


Many people aren't yet aware that the healthcare space is the perfect industry for leveraging prescriptive analytics. To mix it up a bit, we've chosen to present 10 use cases for prescriptive analytics in healthcare in infographic form. Please feel free to share this among your friends, colleagues and social network!

Optimizing Healthcare Value with Prescriptive Analytics – Part 1

This post originally appeared on CGI's blog, a long-time partner of River Logic. Access the original article here.

The healthcare system of the future will be one where continuous improvements in patient experience andoperational efficiency are informed by data and decisions that are directed by prescriptive analytics. To achieve continuous improvement and drive optimization of healthcare value, we have to shift analytics from monitoring and reporting of what has happened, to using analytics to make decisions.

What We Learned from the 2015 UPS Pain in the Chain Survey

The 2015 (8th) UPS Pain in the Chain Survey has now been released, and its findings are as helpful a barometer of healthcare industry supply chain issues as were its predecessors. The survey results are based on 421 interviews of healthcare logistics executives in 16 different nations, and it contains detailed analyses of the industry broken down into 5 main areas of concern.

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