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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.

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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.

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Goals of the project

North Shore-LIJ is a health system serving the needs of over seven million people through 17 hospitals, 400 ambulatory practices, and three skilled nursing facilities as well as home and hospice care. Our healthcare system, including its CareConnect insurance company, is at the forefront of payment reform and population health management.

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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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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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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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