There are many storage technologies available today from various vendors. The storage technology and configuration best for your application depends on the application access patterns and workloads.
The attached document discusses the various design considerations and recommendations for various technologies. This guide is to help you during discussions with your storage vendor to determine the appropriate storage technologies and products that will work best to meet the performance goals for your applications.
Attached is an example of a web service client that can be used to do a lookup against the CMS NPPES database to validate and retrieve information about a given National Provider Identification (NPI).
The attached code package provides a simple implementation of a web service client that utilizes the USPS Shipping API to normalize an address.
This code requires the developer to obtain a USPS Shipping API user ID which can be obtained from the USPS shipping API website. The assigned User Id can either be passed into the web service call as a parameter or can be coded as a parameter into the Request object.
The attached zip file contains a bunch of examples of Cache SQL Storage mappings that I have done over the years.
If you have existing globals and want to expose them via Objects or SQL you need to setup Cache SQL Storage mapping. If you do not see an example that helps with your case send me an example and I can help you out.
Tip dvacátý šestý: objekty a concurrency 2 - swizzling
Když tento seriál před několika lety začínal, byl jeho první díl věnován zajištění izolace instance objektů pro exkluzivní přístup a popisu příslušných API funkcí. Nedávno se mi ale stalo, že mě tento díl dostihl. Jeden ze zákazníků začal mít problémy v aplikaci, přestože důsledně používal exkluzivní zámky pro editování instancí svých objektů.
A simple and rather automated search portal leveraging iFind capabilities for rich text search in 2016.1. It has simple faceting, result ranking, highlighting of search results etc and just works off any table you point it to that has an iFind index by appending ?t=MyPackage.TableName to the URL.
InterSystems Caché 2015.1 soars from 6 million to more than 21 million end-user database accesses per second on the Intel® Xeon® processor E7 v2 family compared to Caché 2013.1 on the Intel® Xeon® processor E5 family
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.
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.
Changes in reimbursement approaches in healthcare are unleashing unprecedented business forces in the industry. As a result, providers are consolidating into larger integrated delivery networks, hoping to achieve economies of scale and operating efficiency.
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.
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.
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:
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.
The healthcare software market offers exciting and significant growth opportunities. Yet, while some healthcare software companies enjoy incredible growth, others under-perform, languish, or even fail. There are many criteria for success in this market, but two are particularly critical:
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.
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.
By now, anybody working in the technology sector will have heard of Cloud computing. But the concept is increasingly being paid attention to outside of IT departments, with growing recognition among boardlevel executives of the potential of this range of innovations. Frequently, senior personnel are hearing stories about how the Cloud helps organizations reduce costs, boost efficiency and expand their operations, so they’ll be excited about what the Cloud can do for them.
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.
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.
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.
An accountable care organization (ACO) is a group of providers that are collectively responsible for the total cost and quality of care provided to a specific population of patients. Together, the group assumes risk and shares rewards. As with high-performing organizations in other industries, the hallmarks of ACOs are quality measurement and continuous improvement.
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