Responsive Methodology Key Metrics - What to measure When and for Whom
RM Best Practices Implementation Diagram
NiyamIT Responsive Methodology Overview
The purpose of the conference is for the Military Health System to share information on IT developments with its own staff, as well as to set forth projected requirements for the vendor community.
The age of Data Deluge has brought upon us a new age of requirements – Data stories. The new ‘Insight’ economy calls for an improved data discovery and analytic precision. No longer do analytic requirements squeeze themselves into reporting modules of design documents, waiting to be discovered at the very end of the design process.
IBM‘s innovative approaches in healthcare, powered by cloud and cognitive data analytics give a fresh vigor to efforts that are poised to bring about a paradigm shift in therapy and patient experience.
With the patient front and center, the improved processes spin a sphere of care, using an amalgam of technology and medical research. The ultimate goal is to get a grasp on the common thread that runs to define the well-being of an individual.
Data is the crucial piece that shapes the course of actions in disaster response situations. It empowers decision makers to plan responses for a multitude of worst and best case scenarios.
It is the basic building block of a robust early warning system.
Last week’s Aid and International Development Forum Summit (hosted at the Ronald Reagan Building and International Trade Center in Washington, DC) consisted of two main focuses: Field Operations and Information Communication Technology (ICT) innovation/implementation.
Bloomberg Government hosted a breakfast panel this Tuesday at their offices in downtown DC, "Federal Budget and Contracting Trends: US Army Discussion" with the expert opinions of Kevin Brancato, Cameron Leuthy, and Robert Levinson...
NiyamIT’s newly deployed search engine harnesses diverse GIS data on FEMA’s distributed databases to enable search and analytics at lightning speeds. Our expertise in Esri’s ArcGIS tool gives us an edge over spatial visualization applications.
EHRs are being integrated with image viewers to bridge the gap between referring physicians and radiologists. Medical images are projected to require 30% of the world’s storage and could soon represent 10% of all healthcare costs. Such infrastructures require cloud based networks as backbone
NiyamIT’s proven track record of implementing Big Data clusters to process peta byte scale data, gives a definitive edge to manage complex EHR records. Our strategy of working with Data Partitions based on regions for FEMA, can be applied to EHR/EMR records to enable faster delivery of information.
Gartner analysts highly recommend Master Data Management (MDM) as a critical success factor in creating a single 360-degree view. This requires patient data from various healthcare providers to be combined from all data silos.
The release announcement of ArcGIS Pro at the Esri International Developer Summit, Palm Springs, CA in March 2014, heralds a new era for the Hazus developer community. We wait with high hopes, in anticipation of the product release!
Mobile, Social, Cloud and Big Data, the most important differentiators of today’s enterprise strategy are pushing the decisions makers to re-engineer their processes, operations and technology stack on the whole. These game changing variables have become synonymous with survival in today’s highly competitive environment and all that follows next.