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.
We're a place where InterSystems IRIS programmers learn and share, stay up-to-date, grow together and have fun!
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.
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.
By update