Introduction

HL7 V2 message routing solutions often have hundreds of business services, processes and operations. Inevitably things will go wrong and you have to monitor the production to be able to react quickly and resolve any problems before they can become serious issues.

Ensemble includes some powerful alerting capabilities that can help, but if you aren't careful you will be inundated with alerts and your inbox more or less becomes a copy of the event log defeating the object of the exercise.

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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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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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Introduction

This paper describes how Ensemble behaves after a system crash or similar uncontrolled shutdown or failover. Ensemble is normally configured to start processing messages automatically when the operating system restarts or when the system has failed over to a cluster member or mirror member. No manual intervention is required. But, in order for your system to robustly handle system failure and restart, you must understand how Ensemble handles these conditions and develop your productions using the rules and guidelines in this document.

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Article
· Oct 21, 2015 1m read
Use Cases for Unstructured Data

Introduction

Experts estimate that 85% of all data exists in unstructured formats – held in e-mails, documents (contracts, memos, clinical notes, legal briefs), social media feeds, etc. Where structured data typically accounts for quantitative facts, the more interesting and potentially more valuable expert opinions and conclusions are often hidden in these unstructured formats. And with massive volumes of text being generated at unprecedented speed, there’s very little chance this information can be made useful without some process of synthesis or automation.

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