With the growing popularity of smart phones and tablet computers, consumers are coming to expect that software solutions will be presented as "apps" on their mobile devices. The challenge for most application developers is to find ways to make their existing solutions run on modern mobile platforms without incurring the delay and cost of a complete rewrite.
In healthcare, information accessibility can impact the outcome of a medical decision, or the success of a bundled payment initiative. To ensure that the right information is available at the right place and time, healthcare organizations typically have used HL7® interface engines to share data among clinical applications. But the demands on healthcare information technology are changing so rapidly that these simple engines are no longer sufficient.
Strategic interoperability —The key to connected care
Introduction
The aging population and increasing incidence of chronic diseases are putting unmanageable pressures on healthcare services, not just in Europe, but worldwide. The current models of healthcare are unsustainable in the face of increased demand for services and rising costs. This was evident even before the financial crisis led to severe cuts in healthcare budgets in many countries.
If the administrators responsible for securing applications had their way, passwords would be long complex strings of random symbols, and users would memorize different passwords for every application they use. But in the real world, few people are capable of such prodigious feats of memory. The typical user can only remember a handful of relatively short passwords.
In healthcare, the outcome of a life-or-death decision can depend on the available information. To help deliver the right information at the right time and place, healthcare organizations traditionally have used HL7 interface engines to share data among clinical applications.
The best way to compare the performance of database products is in a head-to-head test using a real application, preferably one of your own. This is especially true when evaluating Caché's post-relational technology, because "standard" transaction processing benchmarking methodologies assume the restrictive "row and columns" format of a relational database. They cannot accurately predict the performance of real applications, which often use complex data models.
Big Data for Enriching Analytical Capabilities - Big data is revolutionizing the world of business intelligence and analytics. Gartner predicts that big data will drive $232 billion in spending through 2016, Wikibon claims that by 2017 big data revenue will have grown to $47.8 billion, and McKinsey Global Institute indicates that big data has the potential to increase the value of the US health care industry by $300 billion and to increase the industry value of Europe's public sector administration by Ä250 billion.
The European Space Agency (ESA) has chosen InterSystems Caché as the database technology for the AGIS astrometric solution that will be used to analyze the celestial data captured by the Gaia satellite.
The Gaia mission is to create an accurate phase-map of about a billion celestial objects. During the mission, the AGIS solution will iteratively refine the accuracy of Gaia's spatial observations, ultimately achieving accuracies that are on the order of 20 microarcseconds.
A benchmark of a real-world application, which loads data into a data warehouse for subsequent analysis, was performed. To conduct the benchmark, one module of the Oracle-based application was replicated in Caché ObjectScript. Only about 40 person-hours of work was required to duplicate the functionality of the original module in Caché.
Information Sharing Enables Health Plans to Leverage Data and Analytical Assets to Deliver Sustained Value
Executive Summary
The shared-risk payment models that are central to health reform all require tight coordination among payers, providers, and patients if they are to succeed. As payers and providers enter into more and more such agreements, they need to enhance success by communicating and collaborating more effectively with their partners and actively engaging, supporting, and empowering their members.
Australia's recent launch of the Personally Controlled Electronic Health Record (PCEHR) - a significant step towards establishing a national e-Health infrastructure - has simultaneously provided a boost to shared Electronic Patient Record (EPR) projects and delivered a wake-up call to healthcare providers about their readiness for connected care initiatives. In countries around the world, the era of connected care is here.
Providing a reliable infrastructure for rapid, unattended, automated failover
Technology Overview
Traditional availability and replication solutions often require substantial capital investments in infrastructure, deployment, configuration, software licensing, and planning. Caché Database Mirroring (Mirroring) is designed to provide an economical solution for rapid, reliable, robust, automatic failover between two Caché systems, making mirroring the ideal automatic failover high-availability solution for the enterprise.
Impedance mismatch is a term commonly used to describe the problem of an object-oriented (OO) application housing its data in legacy relational databases (RDBMS). C++ programmers have dealt with it for years, and it is now a familiar problem to Java and other OO programmers.
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