iKnow provides several mechanisms to query data in your domain. Several tables are built allowing SQL access to your iKnow data. There are three flavors of API access as well: Object Script, SQL Procedures and Web Services.
Improved Access to Clinical Data Across Hospitals and Systems Helps Pharmaceutical Companies Reduce Delays and the Costs Associated With Bringing New Treatments to Market
This document is intended to provide a survey of various High Availability (HA) strategies that can be used in conjunction with InterSystems Caché, Ensemble, and HealthShare Foundation. This document also provides an overview of the various types of system outages that can occur, as well as how each strategy would handle a given outage, with the goal of helping you choose the right strategy for your specific deployment.
The strategies surveyed in this document are based on three different HA technologies:
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.
Multi Dimensional Expressions are the query language to generate a DeepSee result set. These videos illustrate how to use MDX to define dimension, measure and slicer expressions. Use of various functions, statements and the MDX shell are discussed.
Ensemble is based on message flow, and a data transformation is a way to convert from one message type to another. DTL (Data Transformation Language) adds a layer to this - it provides a graphical way to do the conversion. This is really helpful because most of the time, people with domain-specific knowledge may not have extensive coding skills. However, you always have the ability to do some coding, so if you need or want to, this is available.
DTL has several components: the data transformation engine, the language itself, and the DTL editor.
This developer webcast covers the basics of the Ensemble Management Portal, Business Services, Business Processes, Business Operations, Productions and how to create users.
Marcelo Lorencin of Shift Consultoria E Sistemas on how they used InterSystems Caché, object technology, ZEN, and DeepSee. As a result of using InterSystems technologies, they have grown about 30% per year.
Ensemble 2012.1 has a lot of new functionality and this recording provides an overview of the most important changes. This recording is best viewed before drilling down into the individual topics.
Getting Started with Routing Rules in Ensemble is a quickstart to creating a message router in Ensemble. It covers how to create rulesets to match on attributes and contents of a message in order to effectively route them to different destinations.
Various activities in a Business Process are demonstrated and described. The CALL activity is one of the most used but other activities are discussed as well.
System administration and management functions for Caché and Ensemble are available via the web based Management Portal. This video presents an introduction to the options available in the Management Portal.
Users and devices connecting to Caché or Ensemble must be authenticated to insure they are who they say they are. The Management Portal can be used to allow a variety of authentication methods as well as configure them for connectivity services.
Active Analytics is about giving users insights in real time and allowing them to take immediate, informed action. And the more information they have, the better their decisions will be.
Pivot tables created in DeepSee Analyzer can be used in user dashboards. Pivot tables analyze the data based on the dimensions and measures defined in the cube or subject area. Column and row totals can be added to a pivot table in a variety of ways.
TrakCare is the only healthcare information system built upon a health informatics platform, providing interoperability & embedded analytics to enable care providers to collaborate & make better decisions with complete patient records.
Filtering of your pivot is accomplished by the Slicer Expression with either a Where or %Filter clause. A single measure is part of the Slicer Expression.
Bill McCormick, Product Manager, describes Zen Mojo, the problems it solves, and how it makes development faster and resulting Web and mobile apps more powerful.
Comprehensive patient view, communication and data sharing, and population health management are key components
Federal agencies have been incenting healthcare providers to leverage their electronic health records (EHRs) to get patients involved in the management of their care. Most organizations, however, haven’t moved beyond patient engagement as an item to be checked off in order to receive meaningful use incentive funding.
A business case for the transition from eGate to InterSystems EnsembleÆ From interface engine to integration platform Healthcare IT is evolving so rapidly that the term "HL7 interface engine" may soon become extinct. Forces driving this evolution include:
With the maturation and wide acceptance of Java, object-oriented programming has moved to the foreground of the application development landscape. Because of their rich data models and support for productivity-enhancing concepts such as encapsulation, inheritance, and polymorphism, object technologies like Java, C++, and COM, are favored by today's application developers.
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