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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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Customers who switch to Caché from relational databases report that their average performance is up to 20 time faster, running on the same hardware, with no changes to the application. What is it about Caché that lets applications run so fast?

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Introduction

Because of increasing business and governmental pressures to integrate their operations, the financial services industry is developing a number of standards for data exchange and other common functions. Standards such as XBRL, FpML, MDDL, RIXML, and FIXML are all specialized dialects of XML (Extensible Markup Language). Any financial services application with good support for XML will be able to communicate effectively using one or more of the emerging industry standards.

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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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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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InterSystems encourages the adoption of a flexible, practical approach to application development, rather than strict adherence to one of the prevalent development theories. This paper offers advice based upon our experience. However needs, attitudes, and styles vary; we recommend that each programmer choose the development approach that works best for them. Caché supports a wide range of development methodologies, not just those recommended here.

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