To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
Regardless of industry or geographic location, business information is exploding on a massive scale—affecting primary, secondary, and archival storage systems. The sheer quantity of data being amassed is outpacing organizations' ability to keep tabs on it, maintain corporate compliance, meet strict government regulation, and even simply house it in a useful format that can provide invaluable history and knowledge. Learn more today.
This paper by S. Raghavendran of Pixel Infotek Pvt Ltd on GIS Interoperability and Spatial ETL solutions was presented at the GSDI conference in India and provides an excellent description of the interoperability challenges that Safe's products address.
One of the most powerful aspects of GML is the freedom it gives users to define their own custom application schemas. While this capability provides extraordinary flexibility to data modellers, it also creates significant challenges, particularly when the data is interpreted.
Get this free white paper to read why mass casualty and other public health emergencies create a demand for information within hospitals, between hospitals, between hospitals and local incident command centers, and between local, statewide and multi-state incident command centers and agencies.