Strategic Interoperability

Executive Overview

This white paper discusses the critical requirements for the U.S. Departments of Defense (DoD) and Veterans Affairs (VA) to share Service members’ medical records – including real-time access to a complete composite health record – and it proposes an immediate solution via implementation of a health informatics platform. This approach will provide significant and clearly visible results in a matter of months, while positioning the Departments for strategic improvements in the years ahead.

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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.

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Introduction - Analyzing Textual Big Data

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.

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Introduction

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.

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Introduction

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:

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Introduction

As healthcare providers face increasing pressures to lower costs and reduce readmissions, they're rapidly shifting towards accountable?care organizations (ACOs) and other coordinated, quality-based reimbursement systems. However, most providers have historically?organized their data and workflows in ways that best fi t the fee-for-service payment model. Now that so many providers are sharing?risks and rewards, they must also share and coordinate information by adopting more streamlined health information technology?solutions.

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Executive Summary

InterSystems HealthShareÆ and InterSystems EnsembleÆ both provide a rapid integration and development platform with built-in capabilities for the high-speed processing of HL7 messages. For the purposes of HL7 v2 message routing the two products are equivalent in performance. For brevity, this document will just say Ensemble in many places but it should be taken to apply equally to both products.

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Abstract

A global provider of mobile telecommunications software tested the performance of InterSystems Caché and Oracle as the database in a simulated data mart application. They found Caché to be 41% faster than Oracle at building a data mart. When testing the response time to SQL queries of the data mart, Caché's performance ranged from 1.8 times to 513 times faster than Oracle.

Introduction

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Executive Overview

One way financial services firms can improve their operational efficiency is to revamp their data management infrastructure. Creating a central repository for data that is used by multiple applications can ensure data consistency and quality across the enterprise, ease integration bottlenecks, and lower the number of failed trades.However, different applications have different database usage patterns. To satisfy them all, any central data repository must:

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Introduction

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.

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Abstract

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.

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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.

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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.

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Executive Overview

In most organizations, events drive action. In financial services, for example, a stock dipping below a threshold price may trigger a sell order. In manufacturing, production may start when an order is received. In healthcare, an unusual increase in the number of patients registering in an emergency room could signal the start of a disease outbreak, calling for action on the part of medical staff and public health officials.

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Introduction

To overcome the performance limitations of traditional relational databases, applications - ranging from those running on a single machine to large, interconnected grids - often use in-memory databases to accelerate data access. While in-memory databases and caching products increase throughput, they suffer from a number of limitations including lack of support for large data sets, excessive hardware requirements, and limits on scalability.

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Abstract

In a recent benchmark test of an application based on InterSystems Caché, a sustainable rate of 8.9million database accesses/second, with peaks of 16.9 million database accesses/second, was achieved. These results were from a test performed on a connected system of eight applications servers, using Intel Xeon 5570 processors, and running Linux as the operating system. This benchmark shows that:

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The Business Case for InterSystems Ensemble

This document presents a business case for replacement of older interface engine software with our next-generation rapid integration product, Ensemble. To illustrate the business case, our primary example will be an InterSystems customer (Metro Health Corporation) that replaced its SeeBeyond eGate (now Sun SeeBeyond) interface engine with Ensemble. Other organizations also will comment on reasons for switching to Ensemble.

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Article
· Oct 21, 2015 1m read
Caché for MultiValue Developers

InterSystems has implemented a broad set of MultiValue extensions for its Caché multidimensional database. These extensions enable the migration of MultiValue applications to Caché and bring the full range of Caché object and SQL development technologies to MultiValue developers. The result: your existing MultiValue investments are preserved, you gain a broad spectrum of highly scalable deployment options, and your developers can combine the best of MultiValue, object, relational, and technologies to extend existing applications and build new ones.

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