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.
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