Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2
Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2
Data ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJE Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2ECTIVES•Discuss the importance of aligning data management, reporting, and analytics strategies with the enterpnse strategic goals and objectives within a healthcare delivery organization (HDO).•Discuss a proposed framework for building an Enterprise Data Management. Reporting, and Analytics Program Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2 (E-DRAP) for creating a “single source of truth"-rather than disparate, silo of systems—for enhanced data, reporting, and analytic solutions regardleEbook Nursing informatics for the advanced practice nurse (2/E): Part 2
ss of the HDO's size, complexity, or budget constraints.•Define the essential technology infrastructure required—including enterprise data warehouse aData ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJE Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2le and organizational structures required for a successful program, including senior leadership sponsorship, information governance, business-led user requirements program, and data-driven culture.•Learn about processes that are essential for effectively building and deploying such a program Within Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2an HDO.KEY WORDSAgileBl Competency Centerbusiness intelligencebusiness requirements399Preview Proofs400 III. DATA MANAGEMENTdashboardsdata definitionsEbook Nursing informatics for the advanced practice nurse (2/E): Part 2
data dictionarydata modelsenterprise data warehouse information governance key performance indicatorsMaster Data Management program management scorecaData ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJE Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2 for ConsiderationReferencesINTRODUCTIONThe purpose of this chapter is to provide the advanced practice nurse and interprofessional teams with a practical, modular framework to engage their organization in developing trusted and meaningful data, reporting, and analytics to support their organization Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2’s enterprise strategic plan. The proposed framework is known as the Enterprise Data Management, Reporting, and Analytics Program ^E-DRAP), and it isEbook Nursing informatics for the advanced practice nurse (2/E): Part 2
designed to integrate clinical, financial, operational, and one or more third-party data sources for robust reporting, analytics, and research. The frData ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJE Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2ional complexity, and/or level of maturity in developing stand-alone data marts, as well as more complex enterprise data warehouse (EDVV) and business intelligence (BI) technolog}' platforms.Throughout this chapter, the phrase “reporting and analytics" is used to represent any report or analytics so Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2lution, including standard reports, ad-hoc reports, dashboards, scorecards, stand-alone analytic applications, or any other form of BI vendor tool, exEbook Nursing informatics for the advanced practice nurse (2/E): Part 2
cept where otherwise referenced by the authors.BUSINESS NEEDHealthcare is not the only industry’ that is focused on the use of data and analytics. In Data ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJE Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2king data and analytics a source of “competitive differentiation.” It further indicates that those companies that are leading the “analytics revolution" are outperforming their competitors concerning profitability by 26% and overall industry’ performance by as much as 9% compared with their industry Ebook Nursing informatics for the advanced practice nurse (2/E): Part 2 peers (Kiron, Ferguson, & Prentice, 2013).Data ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJEData ManagementPreview ProofsStrategic Thinking in Design and Deployment of Enterprise Data, Reporting, and AnalyticsTRISH SMITH AND SUSAN McBRIDEOBJEGọi ngay
Chat zalo
Facebook