System-agnostic clinical decision support CDS services provide patient evaluation capabilities that are independent of specific CDS systems and system implementation contexts. While such system-agnostic CDS services hold great potential for facilitating the widespread implementation of CDS systems, little has been described regarding the benefits and challenges of their use. In this manuscript, the authors address this need by describing potential benefits and challenges of using a system-agnostic CDS service. A primary potential benefit of using a system-agnostic CDS service is the relative ease and flexibility with which the service can be leveraged to implement CDS capabilities across applications and care settings. Other important potential benefits include facilitation of centralized knowledge management and knowledge sharing; the potential to support multiple underlying knowledge representations and knowledge resources through a common service interface; improved simplicity and componentization; easier testing and validation; and the enabling of distributed CDS system development. Conversely, important potential challenges include the increased effort required to develop knowledge resources capable of being used in many contexts and the critical need to standardize the service interface. Despite these challenges, our experiences to date indicate that the benefits of using a system-agnostic CDS service generally outweigh the challenges of using this approach to implementing and maintaining CDS systems. Recent studies have shown that traditional approaches to health care are inadequate for ensuring patient safety and care quality [ 1 , 2 ]. Indeed, when delivering patient-specific, actionable recommendations to clinicians automatically at the point of care, computer-based CDS systems consistently lead to significant improvements in clinical care [ 4 ]. While health informaticists have demonstrated repeatedly how CDS systems can improve health and health care [ 4 ], most patient care continues to be conducted with minimal CDS, if any [ 3 ].

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View Full Site. Need some help? Or, login via social media:. Subscribe to our email newsletter. Non-religious people describe and define themselves and are described and defined in various ways. These variations do reflect some differences in meaning and emphasis, though in practice there is very considerable overlap.

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A schema is an enforceable set of rules about the structure of a database. They are used to help maintain data quality, which is an abstract attribute of data that indicates the degree to which data is consistent and semantically correct. For example, a database might define a customer record as a customer id, a name, and the date the record was created. A database with high data quality will provide more reliable and actionable information than a database with poor data quality. Originally, databases were largely schema-free.

Unfortunately this did not always work out well in large, enterprise databases.

Atheists and agnostics would be more intelligent than believers, with the the OKCupid dataset, a large (n ≈ 70k) public dataset of dating service users.

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For corporates, the purpose of a bank-agnostic model is to deliver the benefits of centralized cash and liquidity management while addressing local operating requirements. Implied is a level of cross-bank standardization that supports simplification, rapid deployment and easy switching. Yet treasury practitioners know that beyond the bank-agnostic pipe the standardized connection to their banks around the world , not all bank capabilities are equal.

By B. Alan Wallace As Buddhism has encountered modernity, it runs against widespread prejudices, both religious and anti-religious, and it is common for all​.

This application claims the benefit of U. Provisional Application Ser. Provisional Application is incorporated herein by reference. The disclosed subject matter relates to adaptive computer systems and, more particularly, to platforms for facilitating an execution environment often including mobile equipment in a wireless network environment.

Modern computer systems, including mobile electronic devices within or without a wireless network environment, typically employ a highly evolved operating system OS to execute software to accomplish computing tasks. Frequently, programmers work within standardized runtime environments or execution environments layered over an OS to develop an application for an end-user of a device.

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Those workloads will be deployed and managed for development, staging, testing, and production purposes, in any mix of the above infrastructure. How can you control them? The traditional IT operations practices used in more static VM-based environments no longer apply to dynamic and automatically orchestrated container environments.

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I have never been a big fan of religion. Even at a young age, I thought God and heaven were pacifying ideas to keep people from being afraid of death. Though my judgments of Christianity and belief have evolved to a more nuanced understanding, my lack of faith has not changed. Marriage is all about compromise, right? He believed that an omniscient being watches over us, that when we died we would be together again in an otherworldly place, and that praying for people was an important part of caring for them.

He was Christian-lite: just enough for me to respect it, and more important, to live with it.

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